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def widthsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `width`.
The 'widthsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["widthsrc"] | Sets the source reference on Chart Studio Cloud for `width`.
The 'widthsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | widthsrc | python | plotly/plotly.py | plotly/graph_objs/_barpolar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_barpolar.py | MIT |
def __init__(
self,
arg=None,
base=None,
basesrc=None,
customdata=None,
customdatasrc=None,
dr=None,
dtheta=None,
hoverinfo=None,
hoverinfosrc=None,
hoverlabel=None,
hovertemplate=None,
hovertemplatesrc=None,
hovertext=None,
hovertextsrc=None,
ids=None,
idssrc=None,
legend=None,
legendgroup=None,
legendgrouptitle=None,
legendrank=None,
legendwidth=None,
marker=None,
meta=None,
metasrc=None,
name=None,
offset=None,
offsetsrc=None,
opacity=None,
r=None,
r0=None,
rsrc=None,
selected=None,
selectedpoints=None,
showlegend=None,
stream=None,
subplot=None,
text=None,
textsrc=None,
theta=None,
theta0=None,
thetasrc=None,
thetaunit=None,
uid=None,
uirevision=None,
unselected=None,
visible=None,
width=None,
widthsrc=None,
**kwargs,
):
"""
Construct a new Barpolar object
The data visualized by the radial span of the bars is set in
`r`
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.Barpolar`
base
Sets where the bar base is drawn (in radial axis
units). In "stack" barmode, traces that set "base" will
be excluded and drawn in "overlay" mode instead.
basesrc
Sets the source reference on Chart Studio Cloud for
`base`.
customdata
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note
that, "scatter" traces also appends customdata items in
the markers DOM elements
customdatasrc
Sets the source reference on Chart Studio Cloud for
`customdata`.
dr
Sets the r coordinate step.
dtheta
Sets the theta coordinate step. By default, the
`dtheta` step equals the subplot's period divided by
the length of the `r` coordinates.
hoverinfo
Determines which trace information appear on hover. If
`none` or `skip` are set, no information is displayed
upon hovering. But, if `none` is set, click and hover
events are still fired.
hoverinfosrc
Sets the source reference on Chart Studio Cloud for
`hoverinfo`.
hoverlabel
:class:`plotly.graph_objects.barpolar.Hoverlabel`
instance or dict with compatible properties
hovertemplate
Template string used for rendering the information that
appear on hover box. Note that this will override
`hoverinfo`. Variables are inserted using %{variable},
for example "y: %{y}" as well as %{xother}, {%_xother},
{%_xother_}, {%xother_}. When showing info for several
points, "xother" will be added to those with different
x positions from the first point. An underscore before
or after "(x|y)other" will add a space on that side,
only when this field is shown. Numbers are formatted
using d3-format's syntax %{variable:d3-format}, for
example "Price: %{y:$.2f}".
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
for details on the formatting syntax. Dates are
formatted using d3-time-format's syntax
%{variable|d3-time-format}, for example "Day:
%{2019-01-01|%A}". https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format for details on the
date formatting syntax. The variables available in
`hovertemplate` are the ones emitted as event data
described at this link
https://plotly.com/javascript/plotlyjs-events/#event-
data. Additionally, every attributes that can be
specified per-point (the ones that are `arrayOk: true`)
are available. Anything contained in tag `<extra>` is
displayed in the secondary box, for example
"<extra>{fullData.name}</extra>". To hide the secondary
box completely, use an empty tag `<extra></extra>`.
hovertemplatesrc
Sets the source reference on Chart Studio Cloud for
`hovertemplate`.
hovertext
Same as `text`.
hovertextsrc
Sets the source reference on Chart Studio Cloud for
`hovertext`.
ids
Assigns id labels to each datum. These ids for object
constancy of data points during animation. Should be an
array of strings, not numbers or any other type.
idssrc
Sets the source reference on Chart Studio Cloud for
`ids`.
legend
Sets the reference to a legend to show this trace in.
References to these legends are "legend", "legend2",
"legend3", etc. Settings for these legends are set in
the layout, under `layout.legend`, `layout.legend2`,
etc.
legendgroup
Sets the legend group for this trace. Traces and shapes
part of the same legend group hide/show at the same
time when toggling legend items.
legendgrouptitle
:class:`plotly.graph_objects.barpolar.Legendgrouptitle`
instance or dict with compatible properties
legendrank
Sets the legend rank for this trace. Items and groups
with smaller ranks are presented on top/left side while
with "reversed" `legend.traceorder` they are on
bottom/right side. The default legendrank is 1000, so
that you can use ranks less than 1000 to place certain
items before all unranked items, and ranks greater than
1000 to go after all unranked items. When having
unranked or equal rank items shapes would be displayed
after traces i.e. according to their order in data and
layout.
legendwidth
Sets the width (in px or fraction) of the legend for
this trace.
marker
:class:`plotly.graph_objects.barpolar.Marker` instance
or dict with compatible properties
meta
Assigns extra meta information associated with this
trace that can be used in various text attributes.
Attributes such as trace `name`, graph, axis and
colorbar `title.text`, annotation `text`
`rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta`
values in an attribute in the same trace, simply use
`%{meta[i]}` where `i` is the index or key of the
`meta` item in question. To access trace `meta` in
layout attributes, use `%{data[n[.meta[i]}` where `i`
is the index or key of the `meta` and `n` is the trace
index.
metasrc
Sets the source reference on Chart Studio Cloud for
`meta`.
name
Sets the trace name. The trace name appears as the
legend item and on hover.
offset
Shifts the angular position where the bar is drawn (in
"thetatunit" units).
offsetsrc
Sets the source reference on Chart Studio Cloud for
`offset`.
opacity
Sets the opacity of the trace.
r
Sets the radial coordinates
r0
Alternate to `r`. Builds a linear space of r
coordinates. Use with `dr` where `r0` is the starting
coordinate and `dr` the step.
rsrc
Sets the source reference on Chart Studio Cloud for
`r`.
selected
:class:`plotly.graph_objects.barpolar.Selected`
instance or dict with compatible properties
selectedpoints
Array containing integer indices of selected points.
Has an effect only for traces that support selections.
Note that an empty array means an empty selection where
the `unselected` are turned on for all points, whereas,
any other non-array values means no selection all where
the `selected` and `unselected` styles have no effect.
showlegend
Determines whether or not an item corresponding to this
trace is shown in the legend.
stream
:class:`plotly.graph_objects.barpolar.Stream` instance
or dict with compatible properties
subplot
Sets a reference between this trace's data coordinates
and a polar subplot. If "polar" (the default value),
the data refer to `layout.polar`. If "polar2", the data
refer to `layout.polar2`, and so on.
text
Sets hover text elements associated with each bar. If a
single string, the same string appears over all bars.
If an array of string, the items are mapped in order to
the this trace's coordinates.
textsrc
Sets the source reference on Chart Studio Cloud for
`text`.
theta
Sets the angular coordinates
theta0
Alternate to `theta`. Builds a linear space of theta
coordinates. Use with `dtheta` where `theta0` is the
starting coordinate and `dtheta` the step.
thetasrc
Sets the source reference on Chart Studio Cloud for
`theta`.
thetaunit
Sets the unit of input "theta" values. Has an effect
only when on "linear" angular axes.
uid
Assign an id to this trace, Use this to provide object
constancy between traces during animations and
transitions.
uirevision
Controls persistence of some user-driven changes to the
trace: `constraintrange` in `parcoords` traces, as well
as some `editable: true` modifications such as `name`
and `colorbar.title`. Defaults to `layout.uirevision`.
Note that other user-driven trace attribute changes are
controlled by `layout` attributes: `trace.visible` is
controlled by `layout.legend.uirevision`,
`selectedpoints` is controlled by
`layout.selectionrevision`, and `colorbar.(x|y)`
(accessible with `config: {editable: true}`) is
controlled by `layout.editrevision`. Trace changes are
tracked by `uid`, which only falls back on trace index
if no `uid` is provided. So if your app can add/remove
traces before the end of the `data` array, such that
the same trace has a different index, you can still
preserve user-driven changes if you give each trace a
`uid` that stays with it as it moves.
unselected
:class:`plotly.graph_objects.barpolar.Unselected`
instance or dict with compatible properties
visible
Determines whether or not this trace is visible. If
"legendonly", the trace is not drawn, but can appear as
a legend item (provided that the legend itself is
visible).
width
Sets the bar angular width (in "thetaunit" units).
widthsrc
Sets the source reference on Chart Studio Cloud for
`width`.
Returns
-------
Barpolar
"""
super(Barpolar, self).__init__("barpolar")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.Barpolar
constructor must be a dict or
an instance of :class:`plotly.graph_objs.Barpolar`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("base", None)
_v = base if base is not None else _v
if _v is not None:
self["base"] = _v
_v = arg.pop("basesrc", None)
_v = basesrc if basesrc is not None else _v
if _v is not None:
self["basesrc"] = _v
_v = arg.pop("customdata", None)
_v = customdata if customdata is not None else _v
if _v is not None:
self["customdata"] = _v
_v = arg.pop("customdatasrc", None)
_v = customdatasrc if customdatasrc is not None else _v
if _v is not None:
self["customdatasrc"] = _v
_v = arg.pop("dr", None)
_v = dr if dr is not None else _v
if _v is not None:
self["dr"] = _v
_v = arg.pop("dtheta", None)
_v = dtheta if dtheta is not None else _v
if _v is not None:
self["dtheta"] = _v
_v = arg.pop("hoverinfo", None)
_v = hoverinfo if hoverinfo is not None else _v
if _v is not None:
self["hoverinfo"] = _v
_v = arg.pop("hoverinfosrc", None)
_v = hoverinfosrc if hoverinfosrc is not None else _v
if _v is not None:
self["hoverinfosrc"] = _v
_v = arg.pop("hoverlabel", None)
_v = hoverlabel if hoverlabel is not None else _v
if _v is not None:
self["hoverlabel"] = _v
_v = arg.pop("hovertemplate", None)
_v = hovertemplate if hovertemplate is not None else _v
if _v is not None:
self["hovertemplate"] = _v
_v = arg.pop("hovertemplatesrc", None)
_v = hovertemplatesrc if hovertemplatesrc is not None else _v
if _v is not None:
self["hovertemplatesrc"] = _v
_v = arg.pop("hovertext", None)
_v = hovertext if hovertext is not None else _v
if _v is not None:
self["hovertext"] = _v
_v = arg.pop("hovertextsrc", None)
_v = hovertextsrc if hovertextsrc is not None else _v
if _v is not None:
self["hovertextsrc"] = _v
_v = arg.pop("ids", None)
_v = ids if ids is not None else _v
if _v is not None:
self["ids"] = _v
_v = arg.pop("idssrc", None)
_v = idssrc if idssrc is not None else _v
if _v is not None:
self["idssrc"] = _v
_v = arg.pop("legend", None)
_v = legend if legend is not None else _v
if _v is not None:
self["legend"] = _v
_v = arg.pop("legendgroup", None)
_v = legendgroup if legendgroup is not None else _v
if _v is not None:
self["legendgroup"] = _v
_v = arg.pop("legendgrouptitle", None)
_v = legendgrouptitle if legendgrouptitle is not None else _v
if _v is not None:
self["legendgrouptitle"] = _v
_v = arg.pop("legendrank", None)
_v = legendrank if legendrank is not None else _v
if _v is not None:
self["legendrank"] = _v
_v = arg.pop("legendwidth", None)
_v = legendwidth if legendwidth is not None else _v
if _v is not None:
self["legendwidth"] = _v
_v = arg.pop("marker", None)
_v = marker if marker is not None else _v
if _v is not None:
self["marker"] = _v
_v = arg.pop("meta", None)
_v = meta if meta is not None else _v
if _v is not None:
self["meta"] = _v
_v = arg.pop("metasrc", None)
_v = metasrc if metasrc is not None else _v
if _v is not None:
self["metasrc"] = _v
_v = arg.pop("name", None)
_v = name if name is not None else _v
if _v is not None:
self["name"] = _v
_v = arg.pop("offset", None)
_v = offset if offset is not None else _v
if _v is not None:
self["offset"] = _v
_v = arg.pop("offsetsrc", None)
_v = offsetsrc if offsetsrc is not None else _v
if _v is not None:
self["offsetsrc"] = _v
_v = arg.pop("opacity", None)
_v = opacity if opacity is not None else _v
if _v is not None:
self["opacity"] = _v
_v = arg.pop("r", None)
_v = r if r is not None else _v
if _v is not None:
self["r"] = _v
_v = arg.pop("r0", None)
_v = r0 if r0 is not None else _v
if _v is not None:
self["r0"] = _v
_v = arg.pop("rsrc", None)
_v = rsrc if rsrc is not None else _v
if _v is not None:
self["rsrc"] = _v
_v = arg.pop("selected", None)
_v = selected if selected is not None else _v
if _v is not None:
self["selected"] = _v
_v = arg.pop("selectedpoints", None)
_v = selectedpoints if selectedpoints is not None else _v
if _v is not None:
self["selectedpoints"] = _v
_v = arg.pop("showlegend", None)
_v = showlegend if showlegend is not None else _v
if _v is not None:
self["showlegend"] = _v
_v = arg.pop("stream", None)
_v = stream if stream is not None else _v
if _v is not None:
self["stream"] = _v
_v = arg.pop("subplot", None)
_v = subplot if subplot is not None else _v
if _v is not None:
self["subplot"] = _v
_v = arg.pop("text", None)
_v = text if text is not None else _v
if _v is not None:
self["text"] = _v
_v = arg.pop("textsrc", None)
_v = textsrc if textsrc is not None else _v
if _v is not None:
self["textsrc"] = _v
_v = arg.pop("theta", None)
_v = theta if theta is not None else _v
if _v is not None:
self["theta"] = _v
_v = arg.pop("theta0", None)
_v = theta0 if theta0 is not None else _v
if _v is not None:
self["theta0"] = _v
_v = arg.pop("thetasrc", None)
_v = thetasrc if thetasrc is not None else _v
if _v is not None:
self["thetasrc"] = _v
_v = arg.pop("thetaunit", None)
_v = thetaunit if thetaunit is not None else _v
if _v is not None:
self["thetaunit"] = _v
_v = arg.pop("uid", None)
_v = uid if uid is not None else _v
if _v is not None:
self["uid"] = _v
_v = arg.pop("uirevision", None)
_v = uirevision if uirevision is not None else _v
if _v is not None:
self["uirevision"] = _v
_v = arg.pop("unselected", None)
_v = unselected if unselected is not None else _v
if _v is not None:
self["unselected"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
_v = arg.pop("width", None)
_v = width if width is not None else _v
if _v is not None:
self["width"] = _v
_v = arg.pop("widthsrc", None)
_v = widthsrc if widthsrc is not None else _v
if _v is not None:
self["widthsrc"] = _v
# Read-only literals
# ------------------
self._props["type"] = "barpolar"
arg.pop("type", None)
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Barpolar object
The data visualized by the radial span of the bars is set in
`r`
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.Barpolar`
base
Sets where the bar base is drawn (in radial axis
units). In "stack" barmode, traces that set "base" will
be excluded and drawn in "overlay" mode instead.
basesrc
Sets the source reference on Chart Studio Cloud for
`base`.
customdata
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note
that, "scatter" traces also appends customdata items in
the markers DOM elements
customdatasrc
Sets the source reference on Chart Studio Cloud for
`customdata`.
dr
Sets the r coordinate step.
dtheta
Sets the theta coordinate step. By default, the
`dtheta` step equals the subplot's period divided by
the length of the `r` coordinates.
hoverinfo
Determines which trace information appear on hover. If
`none` or `skip` are set, no information is displayed
upon hovering. But, if `none` is set, click and hover
events are still fired.
hoverinfosrc
Sets the source reference on Chart Studio Cloud for
`hoverinfo`.
hoverlabel
:class:`plotly.graph_objects.barpolar.Hoverlabel`
instance or dict with compatible properties
hovertemplate
Template string used for rendering the information that
appear on hover box. Note that this will override
`hoverinfo`. Variables are inserted using %{variable},
for example "y: %{y}" as well as %{xother}, {%_xother},
{%_xother_}, {%xother_}. When showing info for several
points, "xother" will be added to those with different
x positions from the first point. An underscore before
or after "(x|y)other" will add a space on that side,
only when this field is shown. Numbers are formatted
using d3-format's syntax %{variable:d3-format}, for
example "Price: %{y:$.2f}".
https://github.com/d3/d3-format/tree/v1.4.5#d3-format
for details on the formatting syntax. Dates are
formatted using d3-time-format's syntax
%{variable|d3-time-format}, for example "Day:
%{2019-01-01|%A}". https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format for details on the
date formatting syntax. The variables available in
`hovertemplate` are the ones emitted as event data
described at this link
https://plotly.com/javascript/plotlyjs-events/#event-
data. Additionally, every attributes that can be
specified per-point (the ones that are `arrayOk: true`)
are available. Anything contained in tag `<extra>` is
displayed in the secondary box, for example
"<extra>{fullData.name}</extra>". To hide the secondary
box completely, use an empty tag `<extra></extra>`.
hovertemplatesrc
Sets the source reference on Chart Studio Cloud for
`hovertemplate`.
hovertext
Same as `text`.
hovertextsrc
Sets the source reference on Chart Studio Cloud for
`hovertext`.
ids
Assigns id labels to each datum. These ids for object
constancy of data points during animation. Should be an
array of strings, not numbers or any other type.
idssrc
Sets the source reference on Chart Studio Cloud for
`ids`.
legend
Sets the reference to a legend to show this trace in.
References to these legends are "legend", "legend2",
"legend3", etc. Settings for these legends are set in
the layout, under `layout.legend`, `layout.legend2`,
etc.
legendgroup
Sets the legend group for this trace. Traces and shapes
part of the same legend group hide/show at the same
time when toggling legend items.
legendgrouptitle
:class:`plotly.graph_objects.barpolar.Legendgrouptitle`
instance or dict with compatible properties
legendrank
Sets the legend rank for this trace. Items and groups
with smaller ranks are presented on top/left side while
with "reversed" `legend.traceorder` they are on
bottom/right side. The default legendrank is 1000, so
that you can use ranks less than 1000 to place certain
items before all unranked items, and ranks greater than
1000 to go after all unranked items. When having
unranked or equal rank items shapes would be displayed
after traces i.e. according to their order in data and
layout.
legendwidth
Sets the width (in px or fraction) of the legend for
this trace.
marker
:class:`plotly.graph_objects.barpolar.Marker` instance
or dict with compatible properties
meta
Assigns extra meta information associated with this
trace that can be used in various text attributes.
Attributes such as trace `name`, graph, axis and
colorbar `title.text`, annotation `text`
`rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta`
values in an attribute in the same trace, simply use
`%{meta[i]}` where `i` is the index or key of the
`meta` item in question. To access trace `meta` in
layout attributes, use `%{data[n[.meta[i]}` where `i`
is the index or key of the `meta` and `n` is the trace
index.
metasrc
Sets the source reference on Chart Studio Cloud for
`meta`.
name
Sets the trace name. The trace name appears as the
legend item and on hover.
offset
Shifts the angular position where the bar is drawn (in
"thetatunit" units).
offsetsrc
Sets the source reference on Chart Studio Cloud for
`offset`.
opacity
Sets the opacity of the trace.
r
Sets the radial coordinates
r0
Alternate to `r`. Builds a linear space of r
coordinates. Use with `dr` where `r0` is the starting
coordinate and `dr` the step.
rsrc
Sets the source reference on Chart Studio Cloud for
`r`.
selected
:class:`plotly.graph_objects.barpolar.Selected`
instance or dict with compatible properties
selectedpoints
Array containing integer indices of selected points.
Has an effect only for traces that support selections.
Note that an empty array means an empty selection where
the `unselected` are turned on for all points, whereas,
any other non-array values means no selection all where
the `selected` and `unselected` styles have no effect.
showlegend
Determines whether or not an item corresponding to this
trace is shown in the legend.
stream
:class:`plotly.graph_objects.barpolar.Stream` instance
or dict with compatible properties
subplot
Sets a reference between this trace's data coordinates
and a polar subplot. If "polar" (the default value),
the data refer to `layout.polar`. If "polar2", the data
refer to `layout.polar2`, and so on.
text
Sets hover text elements associated with each bar. If a
single string, the same string appears over all bars.
If an array of string, the items are mapped in order to
the this trace's coordinates.
textsrc
Sets the source reference on Chart Studio Cloud for
`text`.
theta
Sets the angular coordinates
theta0
Alternate to `theta`. Builds a linear space of theta
coordinates. Use with `dtheta` where `theta0` is the
starting coordinate and `dtheta` the step.
thetasrc
Sets the source reference on Chart Studio Cloud for
`theta`.
thetaunit
Sets the unit of input "theta" values. Has an effect
only when on "linear" angular axes.
uid
Assign an id to this trace, Use this to provide object
constancy between traces during animations and
transitions.
uirevision
Controls persistence of some user-driven changes to the
trace: `constraintrange` in `parcoords` traces, as well
as some `editable: true` modifications such as `name`
and `colorbar.title`. Defaults to `layout.uirevision`.
Note that other user-driven trace attribute changes are
controlled by `layout` attributes: `trace.visible` is
controlled by `layout.legend.uirevision`,
`selectedpoints` is controlled by
`layout.selectionrevision`, and `colorbar.(x|y)`
(accessible with `config: {editable: true}`) is
controlled by `layout.editrevision`. Trace changes are
tracked by `uid`, which only falls back on trace index
if no `uid` is provided. So if your app can add/remove
traces before the end of the `data` array, such that
the same trace has a different index, you can still
preserve user-driven changes if you give each trace a
`uid` that stays with it as it moves.
unselected
:class:`plotly.graph_objects.barpolar.Unselected`
instance or dict with compatible properties
visible
Determines whether or not this trace is visible. If
"legendonly", the trace is not drawn, but can appear as
a legend item (provided that the legend itself is
visible).
width
Sets the bar angular width (in "thetaunit" units).
widthsrc
Sets the source reference on Chart Studio Cloud for
`width`.
Returns
-------
Barpolar | __init__ | python | plotly/plotly.py | plotly/graph_objs/_barpolar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_barpolar.py | MIT |
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray
"""
return self["color"] | The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray | color | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def colorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `color`.
The 'colorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["colorsrc"] | Sets the source reference on Chart Studio Cloud for `color`.
The 'colorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | colorsrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def family(self):
"""
HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts if they aren't available on
the system. The Chart Studio Cloud (at https://chart-
studio.plotly.com or on-premise) generates images on a server,
where only a select number of fonts are installed and
supported. These include "Arial", "Balto", "Courier New",
"Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One",
"Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow",
"Raleway", "Times New Roman".
The 'family' property is a string and must be specified as:
- A non-empty string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray
"""
return self["family"] | HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts if they aren't available on
the system. The Chart Studio Cloud (at https://chart-
studio.plotly.com or on-premise) generates images on a server,
where only a select number of fonts are installed and
supported. These include "Arial", "Balto", "Courier New",
"Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One",
"Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow",
"Raleway", "Times New Roman".
The 'family' property is a string and must be specified as:
- A non-empty string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray | family | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def familysrc(self):
"""
Sets the source reference on Chart Studio Cloud for `family`.
The 'familysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["familysrc"] | Sets the source reference on Chart Studio Cloud for `family`.
The 'familysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | familysrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def lineposition(self):
"""
Sets the kind of decoration line(s) with text, such as an
"under", "over" or "through" as well as combinations e.g.
"under+over", etc.
The 'lineposition' property is a flaglist and may be specified
as a string containing:
- Any combination of ['under', 'over', 'through'] joined with '+' characters
(e.g. 'under+over')
OR exactly one of ['none'] (e.g. 'none')
- A list or array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["lineposition"] | Sets the kind of decoration line(s) with text, such as an
"under", "over" or "through" as well as combinations e.g.
"under+over", etc.
The 'lineposition' property is a flaglist and may be specified
as a string containing:
- Any combination of ['under', 'over', 'through'] joined with '+' characters
(e.g. 'under+over')
OR exactly one of ['none'] (e.g. 'none')
- A list or array of the above
Returns
-------
Any|numpy.ndarray | lineposition | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def linepositionsrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`lineposition`.
The 'linepositionsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["linepositionsrc"] | Sets the source reference on Chart Studio Cloud for
`lineposition`.
The 'linepositionsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | linepositionsrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def shadow(self):
"""
Sets the shape and color of the shadow behind text. "auto"
places minimal shadow and applies contrast text font color. See
https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow
for additional options.
The 'shadow' property is a string and must be specified as:
- A string
- A number that will be converted to a string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray
"""
return self["shadow"] | Sets the shape and color of the shadow behind text. "auto"
places minimal shadow and applies contrast text font color. See
https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow
for additional options.
The 'shadow' property is a string and must be specified as:
- A string
- A number that will be converted to a string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray | shadow | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def shadowsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `shadow`.
The 'shadowsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["shadowsrc"] | Sets the source reference on Chart Studio Cloud for `shadow`.
The 'shadowsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | shadowsrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self["size"] | The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | size | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def sizesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `size`.
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["sizesrc"] | Sets the source reference on Chart Studio Cloud for `size`.
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | sizesrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def style(self):
"""
Sets whether a font should be styled with a normal or italic
face from its family.
The 'style' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'italic']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["style"] | Sets whether a font should be styled with a normal or italic
face from its family.
The 'style' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'italic']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray | style | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def stylesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `style`.
The 'stylesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["stylesrc"] | Sets the source reference on Chart Studio Cloud for `style`.
The 'stylesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | stylesrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def textcase(self):
"""
Sets capitalization of text. It can be used to make text appear
in all-uppercase or all-lowercase, or with each word
capitalized.
The 'textcase' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'word caps', 'upper', 'lower']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["textcase"] | Sets capitalization of text. It can be used to make text appear
in all-uppercase or all-lowercase, or with each word
capitalized.
The 'textcase' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'word caps', 'upper', 'lower']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray | textcase | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def textcasesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `textcase`.
The 'textcasesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["textcasesrc"] | Sets the source reference on Chart Studio Cloud for `textcase`.
The 'textcasesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | textcasesrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def variant(self):
"""
Sets the variant of the font.
The 'variant' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'small-caps', 'all-small-caps',
'all-petite-caps', 'petite-caps', 'unicase']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["variant"] | Sets the variant of the font.
The 'variant' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'small-caps', 'all-small-caps',
'all-petite-caps', 'petite-caps', 'unicase']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray | variant | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def variantsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `variant`.
The 'variantsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["variantsrc"] | Sets the source reference on Chart Studio Cloud for `variant`.
The 'variantsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | variantsrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def weight(self):
"""
Sets the weight (or boldness) of the font.
The 'weight' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [1, 1000]
OR exactly one of ['normal', 'bold'] (e.g. 'bold')
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|numpy.ndarray
"""
return self["weight"] | Sets the weight (or boldness) of the font.
The 'weight' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [1, 1000]
OR exactly one of ['normal', 'bold'] (e.g. 'bold')
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|numpy.ndarray | weight | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def weightsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `weight`.
The 'weightsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["weightsrc"] | Sets the source reference on Chart Studio Cloud for `weight`.
The 'weightsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | weightsrc | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def __init__(
self,
arg=None,
color=None,
colorsrc=None,
family=None,
familysrc=None,
lineposition=None,
linepositionsrc=None,
shadow=None,
shadowsrc=None,
size=None,
sizesrc=None,
style=None,
stylesrc=None,
textcase=None,
textcasesrc=None,
variant=None,
variantsrc=None,
weight=None,
weightsrc=None,
**kwargs,
):
"""
Construct a new Font object
Sets the font used in hover labels.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.isosurface.hoverlabel.Font`
color
colorsrc
Sets the source reference on Chart Studio Cloud for
`color`.
family
HTML font family - the typeface that will be applied by
the web browser. The web browser will only be able to
apply a font if it is available on the system which it
operates. Provide multiple font families, separated by
commas, to indicate the preference in which to apply
fonts if they aren't available on the system. The Chart
Studio Cloud (at https://chart-studio.plotly.com or on-
premise) generates images on a server, where only a
select number of fonts are installed and supported.
These include "Arial", "Balto", "Courier New", "Droid
Sans", "Droid Serif", "Droid Sans Mono", "Gravitas
One", "Old Standard TT", "Open Sans", "Overpass", "PT
Sans Narrow", "Raleway", "Times New Roman".
familysrc
Sets the source reference on Chart Studio Cloud for
`family`.
lineposition
Sets the kind of decoration line(s) with text, such as
an "under", "over" or "through" as well as combinations
e.g. "under+over", etc.
linepositionsrc
Sets the source reference on Chart Studio Cloud for
`lineposition`.
shadow
Sets the shape and color of the shadow behind text.
"auto" places minimal shadow and applies contrast text
font color. See https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional options.
shadowsrc
Sets the source reference on Chart Studio Cloud for
`shadow`.
size
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
style
Sets whether a font should be styled with a normal or
italic face from its family.
stylesrc
Sets the source reference on Chart Studio Cloud for
`style`.
textcase
Sets capitalization of text. It can be used to make
text appear in all-uppercase or all-lowercase, or with
each word capitalized.
textcasesrc
Sets the source reference on Chart Studio Cloud for
`textcase`.
variant
Sets the variant of the font.
variantsrc
Sets the source reference on Chart Studio Cloud for
`variant`.
weight
Sets the weight (or boldness) of the font.
weightsrc
Sets the source reference on Chart Studio Cloud for
`weight`.
Returns
-------
Font
"""
super(Font, self).__init__("font")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.isosurface.hoverlabel.Font
constructor must be a dict or
an instance of :class:`plotly.graph_objs.isosurface.hoverlabel.Font`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("colorsrc", None)
_v = colorsrc if colorsrc is not None else _v
if _v is not None:
self["colorsrc"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("familysrc", None)
_v = familysrc if familysrc is not None else _v
if _v is not None:
self["familysrc"] = _v
_v = arg.pop("lineposition", None)
_v = lineposition if lineposition is not None else _v
if _v is not None:
self["lineposition"] = _v
_v = arg.pop("linepositionsrc", None)
_v = linepositionsrc if linepositionsrc is not None else _v
if _v is not None:
self["linepositionsrc"] = _v
_v = arg.pop("shadow", None)
_v = shadow if shadow is not None else _v
if _v is not None:
self["shadow"] = _v
_v = arg.pop("shadowsrc", None)
_v = shadowsrc if shadowsrc is not None else _v
if _v is not None:
self["shadowsrc"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
_v = arg.pop("sizesrc", None)
_v = sizesrc if sizesrc is not None else _v
if _v is not None:
self["sizesrc"] = _v
_v = arg.pop("style", None)
_v = style if style is not None else _v
if _v is not None:
self["style"] = _v
_v = arg.pop("stylesrc", None)
_v = stylesrc if stylesrc is not None else _v
if _v is not None:
self["stylesrc"] = _v
_v = arg.pop("textcase", None)
_v = textcase if textcase is not None else _v
if _v is not None:
self["textcase"] = _v
_v = arg.pop("textcasesrc", None)
_v = textcasesrc if textcasesrc is not None else _v
if _v is not None:
self["textcasesrc"] = _v
_v = arg.pop("variant", None)
_v = variant if variant is not None else _v
if _v is not None:
self["variant"] = _v
_v = arg.pop("variantsrc", None)
_v = variantsrc if variantsrc is not None else _v
if _v is not None:
self["variantsrc"] = _v
_v = arg.pop("weight", None)
_v = weight if weight is not None else _v
if _v is not None:
self["weight"] = _v
_v = arg.pop("weightsrc", None)
_v = weightsrc if weightsrc is not None else _v
if _v is not None:
self["weightsrc"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Font object
Sets the font used in hover labels.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.isosurface.hoverlabel.Font`
color
colorsrc
Sets the source reference on Chart Studio Cloud for
`color`.
family
HTML font family - the typeface that will be applied by
the web browser. The web browser will only be able to
apply a font if it is available on the system which it
operates. Provide multiple font families, separated by
commas, to indicate the preference in which to apply
fonts if they aren't available on the system. The Chart
Studio Cloud (at https://chart-studio.plotly.com or on-
premise) generates images on a server, where only a
select number of fonts are installed and supported.
These include "Arial", "Balto", "Courier New", "Droid
Sans", "Droid Serif", "Droid Sans Mono", "Gravitas
One", "Old Standard TT", "Open Sans", "Overpass", "PT
Sans Narrow", "Raleway", "Times New Roman".
familysrc
Sets the source reference on Chart Studio Cloud for
`family`.
lineposition
Sets the kind of decoration line(s) with text, such as
an "under", "over" or "through" as well as combinations
e.g. "under+over", etc.
linepositionsrc
Sets the source reference on Chart Studio Cloud for
`lineposition`.
shadow
Sets the shape and color of the shadow behind text.
"auto" places minimal shadow and applies contrast text
font color. See https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional options.
shadowsrc
Sets the source reference on Chart Studio Cloud for
`shadow`.
size
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
style
Sets whether a font should be styled with a normal or
italic face from its family.
stylesrc
Sets the source reference on Chart Studio Cloud for
`style`.
textcase
Sets capitalization of text. It can be used to make
text appear in all-uppercase or all-lowercase, or with
each word capitalized.
textcasesrc
Sets the source reference on Chart Studio Cloud for
`textcase`.
variant
Sets the variant of the font.
variantsrc
Sets the source reference on Chart Studio Cloud for
`variant`.
weight
Sets the weight (or boldness) of the font.
weightsrc
Sets the source reference on Chart Studio Cloud for
`weight`.
Returns
-------
Font | __init__ | python | plotly/plotly.py | plotly/graph_objs/isosurface/hoverlabel/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/isosurface/hoverlabel/_font.py | MIT |
def add_wrapper(wrapped_name, full_params, param_list):
buffer.write(
f"""
def {wrapped_name}(self, {full_params}) -> "{fig_classname}":
'''
{getattr(BaseFigure, wrapped_name).__doc__}
'''
return super({fig_classname}, self).{wrapped_name}({param_list})
"""
) | {getattr(BaseFigure, wrapped_name).__doc__} | build_figure_py.add_wrapper | python | plotly/plotly.py | codegen/figure.py | https://github.com/plotly/plotly.py/blob/master/codegen/figure.py | MIT |
def build_figure_py(
trace_node,
base_package,
base_classname,
fig_classname,
data_validator,
layout_validator,
frame_validator,
subplot_nodes,
layout_array_nodes,
):
"""
Parameters
----------
trace_node : PlotlyNode
Root trace node (the node that is the parent of all of the
individual trace nodes like bar, scatter, etc.)
base_package : str
Package that the figure's superclass resides in
base_classname : str
Name of the figure's superclass
fig_classname : str
Name of the Figure class to be generated
data_validator : BaseDataValidator
DataValidator instance
layout_validator : CompoundValidator
LayoutValidator instance
frame_validator : CompoundArrayValidator
FrameValidator instance
subplot_nodes: list of str
List of names of all of the layout subplot properties
layout_array_nodes: list of PlotlyNode
List of array nodes under layout that can be positioned using xref/yref
Returns
-------
str
Source code for figure class definition
"""
# Initialize source code buffer
# -----------------------------
buffer = StringIO()
# Get list of trace type nodes
# ----------------------------
trace_nodes = trace_node.child_compound_datatypes
# Write imports
# -------------
# ### Import base class ###
buffer.write(f"from plotly.{base_package} import {base_classname}\n")
# Write class definition
# ----------------------
buffer.write(
f"""
class {fig_classname}({base_classname}):\n"""
)
# ### Constructor ###
# Build constructor description strings
data_description = reindent_validator_description(data_validator, 8)
layout_description = reindent_validator_description(layout_validator, 8)
frames_description = reindent_validator_description(frame_validator, 8)
buffer.write(
f"""
def __init__(self, data=None, layout=None,
frames=None, skip_invalid=False, **kwargs):
\"\"\"
Create a new :class:{fig_classname} instance
Parameters
----------
data
{data_description}
layout
{layout_description}
frames
{frames_description}
skip_invalid: bool
If True, invalid properties in the figure specification will be
skipped silently. If False (default) invalid properties in the
figure specification will result in a ValueError
Raises
------
ValueError
if a property in the specification of data, layout, or frames
is invalid AND skip_invalid is False
\"\"\"
super({fig_classname} ,self).__init__(data, layout,
frames, skip_invalid,
**kwargs)
"""
)
def add_wrapper(wrapped_name, full_params, param_list):
buffer.write(
f"""
def {wrapped_name}(self, {full_params}) -> "{fig_classname}":
'''
{getattr(BaseFigure, wrapped_name).__doc__}
'''
return super({fig_classname}, self).{wrapped_name}({param_list})
"""
)
add_wrapper(
"update",
"dict1=None, overwrite=False, **kwargs",
"dict1, overwrite, **kwargs",
)
add_wrapper(
"update_traces",
"patch=None, selector=None, row=None, col=None, secondary_y=None, overwrite=False, **kwargs",
"patch, selector, row, col, secondary_y, overwrite, **kwargs",
)
add_wrapper(
"update_layout",
"dict1=None, overwrite=False, **kwargs",
"dict1, overwrite, **kwargs",
)
add_wrapper(
"for_each_trace",
"fn, selector=None, row=None, col=None, secondary_y=None",
"fn, selector, row, col, secondary_y",
)
add_wrapper(
"add_trace",
"trace, row=None, col=None, secondary_y=None, exclude_empty_subplots=False",
"trace, row, col, secondary_y, exclude_empty_subplots",
)
add_wrapper(
"add_traces",
"data,rows=None,cols=None,secondary_ys=None,exclude_empty_subplots=False",
"data,rows,cols,secondary_ys,exclude_empty_subplots",
)
add_wrapper(
"add_vline",
'x,row="all",col="all",exclude_empty_subplots=True,annotation=None,**kwargs',
"x,row,col,exclude_empty_subplots,annotation,**kwargs",
)
add_wrapper(
"add_hline",
'y,row="all",col="all",exclude_empty_subplots=True,annotation=None,**kwargs',
"y,row,col,exclude_empty_subplots,annotation,**kwargs",
)
add_wrapper(
"add_vrect",
'x0,x1,row="all",col="all",exclude_empty_subplots=True,annotation=None,**kwargs',
"x0,x1,row,col,exclude_empty_subplots,annotation,**kwargs",
)
add_wrapper(
"add_hrect",
'y0,y1,row="all",col="all",exclude_empty_subplots=True,annotation=None,**kwargs',
"y0,y1,row,col,exclude_empty_subplots,annotation,**kwargs",
)
add_wrapper(
"set_subplots",
"rows=None, cols=None, **make_subplots_args",
"rows, cols, **make_subplots_args",
)
# ### add_trace methods for each trace type ###
for trace_node in trace_nodes:
include_secondary_y = bool(
[d for d in trace_node.child_datatypes if d.name_property == "yaxis"]
)
# #### Function signature ####
buffer.write(
f"""
def add_{trace_node.plotly_name}(self"""
)
# #### Function params####
param_extras = ["row", "col"]
if include_secondary_y:
param_extras.append("secondary_y")
add_constructor_params(
buffer,
trace_node.child_datatypes,
append_extras=param_extras,
output_type=fig_classname,
)
# #### Docstring ####
header = f"Add a new {trace_node.name_datatype_class} trace"
doc_extras = [
(
"row : 'all', int or None (default)",
"Subplot row index (starting from 1) for the trace to be "
"added. Only valid if figure was created using "
"`plotly.tools.make_subplots`."
"If 'all', addresses all rows in the specified column(s).",
),
(
"col : 'all', int or None (default)",
"Subplot col index (starting from 1) for the trace to be "
"added. Only valid if figure was created using "
"`plotly.tools.make_subplots`."
"If 'all', addresses all columns in the specified row(s).",
),
]
if include_secondary_y:
doc_extras.append(
(
"secondary_y: boolean or None (default None)",
"""\
If True, associate this trace with the secondary y-axis of the
subplot at the specified row and col. Only valid if all of the
following conditions are satisfied:
* The figure was created using `plotly.subplots.make_subplots`.
* The row and col arguments are not None
* The subplot at the specified row and col has type xy
(which is the default) and secondary_y True. These
properties are specified in the specs argument to
make_subplots. See the make_subplots docstring for more info.\
""",
)
)
add_docstring(
buffer,
trace_node,
header,
append_extras=doc_extras,
return_type=fig_classname,
)
# #### Function body ####
buffer.write(
f"""
from plotly.graph_objs import {trace_node.name_datatype_class}
new_trace = {trace_node.name_datatype_class}(
"""
)
for _, subtype_node in enumerate(trace_node.child_datatypes):
subtype_prop_name = subtype_node.name_property
buffer.write(
f"""
{subtype_prop_name}={subtype_prop_name},"""
)
buffer.write(
"""
**kwargs)"""
)
if include_secondary_y:
secondary_y_kwarg = ", secondary_y=secondary_y"
else:
secondary_y_kwarg = ""
buffer.write(
f"""
return self.add_trace(
new_trace, row=row, col=col{secondary_y_kwarg})"""
)
# update layout subplots
# ----------------------
inflect_eng = inflect.engine()
for subplot_node in subplot_nodes:
singular_name = subplot_node.name_property
plural_name = inflect_eng.plural_noun(singular_name)
if singular_name == "yaxis":
secondary_y_1 = ", secondary_y=None"
secondary_y_2 = ", secondary_y=secondary_y"
secondary_y_docstring = """
secondary_y: boolean or None (default None)
* If True, only select yaxis objects associated with the secondary
y-axis of the subplot.
* If False, only select yaxis objects associated with the primary
y-axis of the subplot.
* If None (the default), do not filter yaxis objects based on
a secondary y-axis condition.
To select yaxis objects by secondary y-axis, the Figure must
have been created using plotly.subplots.make_subplots. See
the docstring for the specs argument to make_subplots for more
info on creating subplots with secondary y-axes."""
else:
secondary_y_1 = ""
secondary_y_2 = ""
secondary_y_docstring = ""
buffer.write(
f"""
def select_{plural_name}(
self, selector=None, row=None, col=None{secondary_y_1}):
\"\"\"
Select {singular_name} subplot objects from a particular subplot cell
and/or {singular_name} subplot objects that satisfy custom selection
criteria.
Parameters
----------
selector: dict, function, or None (default None)
Dict to use as selection criteria.
{singular_name} objects will be selected if they contain
properties corresponding to all of the dictionary's keys, with
values that exactly match the supplied values. If None
(the default), all {singular_name} objects are selected. If a
function, it must be a function accepting a single argument and
returning a boolean. The function will be called on each
{singular_name} and those for which the function returned True will
be in the selection.
row, col: int or None (default None)
Subplot row and column index of {singular_name} objects to select.
To select {singular_name} objects by row and column, the Figure
must have been created using plotly.subplots.make_subplots.
If None (the default), all {singular_name} objects are selected.\
{secondary_y_docstring}
Returns
-------
generator
Generator that iterates through all of the {singular_name}
objects that satisfy all of the specified selection criteria
\"\"\"
return self._select_layout_subplots_by_prefix(
'{singular_name}', selector, row, col{secondary_y_2})
def for_each_{singular_name}(
self, fn, selector=None, row=None, col=None{secondary_y_1}) -> '{fig_classname}':
\"\"\"
Apply a function to all {singular_name} objects that satisfy the
specified selection criteria
Parameters
----------
fn:
Function that inputs a single {singular_name} object.
selector: dict, function, or None (default None)
Dict to use as selection criteria.
{singular_name} objects will be selected if they contain
properties corresponding to all of the dictionary's keys, with
values that exactly match the supplied values. If None
(the default), all {singular_name} objects are selected. If a
function, it must be a function accepting a single argument and
returning a boolean. The function will be called on each
{singular_name} and those for which the function returned True will
be in the selection.
row, col: int or None (default None)
Subplot row and column index of {singular_name} objects to select.
To select {singular_name} objects by row and column, the Figure
must have been created using plotly.subplots.make_subplots.
If None (the default), all {singular_name} objects are selected.\
{secondary_y_docstring}
Returns
-------
self
Returns the {fig_classname} object that the method was called on
\"\"\"
for obj in self.select_{plural_name}(
selector=selector, row=row, col=col{secondary_y_2}):
fn(obj)
return self
def update_{plural_name}(
self,
patch=None,
selector=None,
overwrite=False,
row=None, col=None{secondary_y_1},
**kwargs) -> '{fig_classname}':
\"\"\"
Perform a property update operation on all {singular_name} objects
that satisfy the specified selection criteria
Parameters
----------
patch: dict
Dictionary of property updates to be applied to all
{singular_name} objects that satisfy the selection criteria.
selector: dict, function, or None (default None)
Dict to use as selection criteria.
{singular_name} objects will be selected if they contain
properties corresponding to all of the dictionary's keys, with
values that exactly match the supplied values. If None
(the default), all {singular_name} objects are selected. If a
function, it must be a function accepting a single argument and
returning a boolean. The function will be called on each
{singular_name} and those for which the function returned True will
be in the selection.
overwrite: bool
If True, overwrite existing properties. If False, apply updates
to existing properties recursively, preserving existing
properties that are not specified in the update operation.
row, col: int or None (default None)
Subplot row and column index of {singular_name} objects to select.
To select {singular_name} objects by row and column, the Figure
must have been created using plotly.subplots.make_subplots.
If None (the default), all {singular_name} objects are selected.\
{secondary_y_docstring}
**kwargs
Additional property updates to apply to each selected
{singular_name} object. If a property is specified in
both patch and in **kwargs then the one in **kwargs
takes precedence.
Returns
-------
self
Returns the {fig_classname} object that the method was called on
\"\"\"
for obj in self.select_{plural_name}(
selector=selector, row=row, col=col{secondary_y_2}):
obj.update(patch, overwrite=overwrite, **kwargs)
return self"""
)
# update annotations/shapes/images
# --------------------------------
for node in layout_array_nodes:
singular_name = node.plotly_name
plural_name = node.name_property
if singular_name == "image":
# Rename image to layout_image to avoid conflict with an image trace
method_prefix = "layout_"
else:
method_prefix = ""
buffer.write(
f"""
def select_{method_prefix}{plural_name}(
self, selector=None, row=None, col=None, secondary_y=None
):
\"\"\"
Select {plural_name} from a particular subplot cell and/or {plural_name}
that satisfy custom selection criteria.
Parameters
----------
selector: dict, function, int, str, or None (default None)
Dict to use as selection criteria.
Annotations will be selected if they contain properties corresponding
to all of the dictionary's keys, with values that exactly match
the supplied values. If None (the default), all {plural_name} are
selected. If a function, it must be a function accepting a single
argument and returning a boolean. The function will be called on
each {singular_name} and those for which the function returned True
will be in the selection. If an int N, the Nth {singular_name} matching row
and col will be selected (N can be negative). If a string S, the selector
is equivalent to dict(type=S).
row, col: int or None (default None)
Subplot row and column index of {plural_name} to select.
To select {plural_name} by row and column, the Figure must have been
created using plotly.subplots.make_subplots. To select only those
{singular_name} that are in paper coordinates, set row and col to the
string 'paper'. If None (the default), all {plural_name} are selected.
secondary_y: boolean or None (default None)
* If True, only select {plural_name} associated with the secondary
y-axis of the subplot.
* If False, only select {plural_name} associated with the primary
y-axis of the subplot.
* If None (the default), do not filter {plural_name} based on secondary
y-axis.
To select {plural_name} by secondary y-axis, the Figure must have been
created using plotly.subplots.make_subplots. See the docstring
for the specs argument to make_subplots for more info on
creating subplots with secondary y-axes.
Returns
-------
generator
Generator that iterates through all of the {plural_name} that satisfy
all of the specified selection criteria
\"\"\"
return self._select_annotations_like(
"{plural_name}", selector=selector, row=row, col=col, secondary_y=secondary_y
)
def for_each_{method_prefix}{singular_name}(
self, fn, selector=None, row=None, col=None, secondary_y=None
):
\"\"\"
Apply a function to all {plural_name} that satisfy the specified selection
criteria
Parameters
----------
fn:
Function that inputs a single {singular_name} object.
selector: dict, function, int, str or None (default None)
Dict to use as selection criteria.
Traces will be selected if they contain properties corresponding
to all of the dictionary's keys, with values that exactly match
the supplied values. If None (the default), all {plural_name} are
selected. If a function, it must be a function accepting a single
argument and returning a boolean. The function will be called on
each {singular_name} and those for which the function returned True
will be in the selection. If an int N, the Nth {singular_name} matching row
and col will be selected (N can be negative). If a string S, the selector
is equivalent to dict(type=S).
row, col: int or None (default None)
Subplot row and column index of {plural_name} to select.
To select {plural_name} by row and column, the Figure must have been
created using plotly.subplots.make_subplots. To select only those
{plural_name} that are in paper coordinates, set row and col to the
string 'paper'. If None (the default), all {plural_name} are selected.
secondary_y: boolean or None (default None)
* If True, only select {plural_name} associated with the secondary
y-axis of the subplot.
* If False, only select {plural_name} associated with the primary
y-axis of the subplot.
* If None (the default), do not filter {plural_name} based on secondary
y-axis.
To select {plural_name} by secondary y-axis, the Figure must have been
created using plotly.subplots.make_subplots. See the docstring
for the specs argument to make_subplots for more info on
creating subplots with secondary y-axes.
Returns
-------
self
Returns the {fig_classname} object that the method was called on
\"\"\"
for obj in self._select_annotations_like(
prop='{plural_name}',
selector=selector,
row=row,
col=col,
secondary_y=secondary_y,
):
fn(obj)
return self
def update_{method_prefix}{plural_name}(
self,
patch=None,
selector=None,
row=None,
col=None,
secondary_y=None,
**kwargs
) -> '{fig_classname}':
\"\"\"
Perform a property update operation on all {plural_name} that satisfy the
specified selection criteria
Parameters
----------
patch: dict or None (default None)
Dictionary of property updates to be applied to all {plural_name} that
satisfy the selection criteria.
selector: dict, function, int, str or None (default None)
Dict to use as selection criteria.
Traces will be selected if they contain properties corresponding
to all of the dictionary's keys, with values that exactly match
the supplied values. If None (the default), all {plural_name} are
selected. If a function, it must be a function accepting a single
argument and returning a boolean. The function will be called on
each {singular_name} and those for which the function returned True
will be in the selection. If an int N, the Nth {singular_name} matching row
and col will be selected (N can be negative). If a string S, the selector
is equivalent to dict(type=S).
row, col: int or None (default None)
Subplot row and column index of {plural_name} to select.
To select {plural_name} by row and column, the Figure must have been
created using plotly.subplots.make_subplots. To select only those
{singular_name} that are in paper coordinates, set row and col to the
string 'paper'. If None (the default), all {plural_name} are selected.
secondary_y: boolean or None (default None)
* If True, only select {plural_name} associated with the secondary
y-axis of the subplot.
* If False, only select {plural_name} associated with the primary
y-axis of the subplot.
* If None (the default), do not filter {plural_name} based on secondary
y-axis.
To select {plural_name} by secondary y-axis, the Figure must have been
created using plotly.subplots.make_subplots. See the docstring
for the specs argument to make_subplots for more info on
creating subplots with secondary y-axes.
**kwargs
Additional property updates to apply to each selected {singular_name}. If
a property is specified in both patch and in **kwargs then the
one in **kwargs takes precedence.
Returns
-------
self
Returns the {fig_classname} object that the method was called on
\"\"\"
for obj in self._select_annotations_like(
prop='{plural_name}',
selector=selector,
row=row,
col=col,
secondary_y=secondary_y,
):
obj.update(patch, **kwargs)
return self
"""
)
# Add layout array items
buffer.write(
f"""
def add_{method_prefix}{singular_name}(self"""
)
add_constructor_params(
buffer,
node.child_datatypes,
prepend_extras=["arg"],
append_extras=["row", "col", "secondary_y", "exclude_empty_subplots"],
output_type=fig_classname,
)
prepend_extras = [
(
"arg",
f"instance of {node.name_datatype_class} or dict with "
"compatible properties",
)
]
append_extras = [
(
"row",
f"Subplot row for {singular_name}. If 'all', addresses all rows in the specified column(s).",
),
(
"col",
f"Subplot column for {singular_name}. If 'all', addresses all columns in the specified row(s).",
),
("secondary_y", f"Whether to add {singular_name} to secondary y-axis"),
(
"exclude_empty_subplots",
f"If True, {singular_name} will not be added to subplots without traces.",
),
]
add_docstring(
buffer,
node,
header=f"Create and add a new {singular_name} to the figure's layout",
prepend_extras=prepend_extras,
append_extras=append_extras,
return_type=fig_classname,
)
# #### Function body ####
buffer.write(
f"""
from plotly.graph_objs import layout as _layout
new_obj = _layout.{node.name_datatype_class}(arg,
"""
)
for _, subtype_node in enumerate(node.child_datatypes):
subtype_prop_name = subtype_node.name_property
buffer.write(
f"""
{subtype_prop_name}={subtype_prop_name},"""
)
buffer.write("""**kwargs)""")
buffer.write(
f"""
return self._add_annotation_like(
'{singular_name}',
'{plural_name}',
new_obj,
row=row,
col=col,
secondary_y=secondary_y,
exclude_empty_subplots=exclude_empty_subplots,
)"""
)
# Return source string
# --------------------
buffer.write("\n")
return buffer.getvalue() | Parameters
----------
trace_node : PlotlyNode
Root trace node (the node that is the parent of all of the
individual trace nodes like bar, scatter, etc.)
base_package : str
Package that the figure's superclass resides in
base_classname : str
Name of the figure's superclass
fig_classname : str
Name of the Figure class to be generated
data_validator : BaseDataValidator
DataValidator instance
layout_validator : CompoundValidator
LayoutValidator instance
frame_validator : CompoundArrayValidator
FrameValidator instance
subplot_nodes: list of str
List of names of all of the layout subplot properties
layout_array_nodes: list of PlotlyNode
List of array nodes under layout that can be positioned using xref/yref
Returns
-------
str
Source code for figure class definition | build_figure_py | python | plotly/plotly.py | codegen/figure.py | https://github.com/plotly/plotly.py/blob/master/codegen/figure.py | MIT |
def write_figure_classes(
outdir,
trace_node,
data_validator,
layout_validator,
frame_validator,
subplot_nodes,
layout_array_nodes,
):
"""
Construct source code for the Figure and FigureWidget classes and
write to graph_objs/_figure.py and graph_objs/_figurewidget.py
respectively
Parameters
----------
outdir : str
Root outdir in which the graph_objs package should reside
trace_node : PlotlyNode
Root trace node (the node that is the parent of all of the
individual trace nodes like bar, scatter, etc.)
data_validator : BaseDataValidator
DataValidator instance
layout_validator : CompoundValidator
LayoutValidator instance
frame_validator : CompoundArrayValidator
FrameValidator instance
subplot_nodes: list of PlotlyNode
List of names of all of the layout subplot properties
layout_array_nodes: list of PlotlyNode
List of array nodes under layout that can be positioned using xref/yref
Returns
-------
None
"""
# Validate inputs
# ---------------
if trace_node.node_path:
raise ValueError(
f"Expected root trace node.\n"
f'Received node with path "{trace_node.path_str}"'
)
# Loop over figure types
# ----------------------
base_figures = [
("basewidget", "BaseFigureWidget", "FigureWidget"),
("basedatatypes", "BaseFigure", "Figure"),
]
for base_package, base_classname, fig_classname in base_figures:
# ### Build figure source code string ###
figure_source = build_figure_py(
trace_node,
base_package,
base_classname,
fig_classname,
data_validator,
layout_validator,
frame_validator,
subplot_nodes,
layout_array_nodes,
)
# ### Format and write to file###
filepath = opath.join(outdir, "graph_objs", f"_{fig_classname.lower()}.py")
write_source_py(figure_source, filepath) | Construct source code for the Figure and FigureWidget classes and
write to graph_objs/_figure.py and graph_objs/_figurewidget.py
respectively
Parameters
----------
outdir : str
Root outdir in which the graph_objs package should reside
trace_node : PlotlyNode
Root trace node (the node that is the parent of all of the
individual trace nodes like bar, scatter, etc.)
data_validator : BaseDataValidator
DataValidator instance
layout_validator : CompoundValidator
LayoutValidator instance
frame_validator : CompoundArrayValidator
FrameValidator instance
subplot_nodes: list of PlotlyNode
List of names of all of the layout subplot properties
layout_array_nodes: list of PlotlyNode
List of array nodes under layout that can be positioned using xref/yref
Returns
-------
None | write_figure_classes | python | plotly/plotly.py | codegen/figure.py | https://github.com/plotly/plotly.py/blob/master/codegen/figure.py | MIT |
def annotations(self):
"""
The 'annotations' property is a tuple of instances of
Annotation that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.scene.Annotation
- A list or tuple of dicts of string/value properties that
will be passed to the Annotation constructor
Supported dict properties:
align
Sets the horizontal alignment of the `text`
within the box. Has an effect only if `text`
spans two or more lines (i.e. `text` contains
one or more <br> HTML tags) or if an explicit
width is set to override the text width.
arrowcolor
Sets the color of the annotation arrow.
arrowhead
Sets the end annotation arrow head style.
arrowside
Sets the annotation arrow head position.
arrowsize
Sets the size of the end annotation arrow head,
relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
arrowwidth
Sets the width (in px) of annotation arrow
line.
ax
Sets the x component of the arrow tail about
the arrow head (in pixels).
ay
Sets the y component of the arrow tail about
the arrow head (in pixels).
bgcolor
Sets the background color of the annotation.
bordercolor
Sets the color of the border enclosing the
annotation `text`.
borderpad
Sets the padding (in px) between the `text` and
the enclosing border.
borderwidth
Sets the width (in px) of the border enclosing
the annotation `text`.
captureevents
Determines whether the annotation text box
captures mouse move and click events, or allows
those events to pass through to data points in
the plot that may be behind the annotation. By
default `captureevents` is False unless
`hovertext` is provided. If you use the event
`plotly_clickannotation` without `hovertext`
you must explicitly enable `captureevents`.
font
Sets the annotation text font.
height
Sets an explicit height for the text box. null
(default) lets the text set the box height.
Taller text will be clipped.
hoverlabel
:class:`plotly.graph_objects.layout.scene.annot
ation.Hoverlabel` instance or dict with
compatible properties
hovertext
Sets text to appear when hovering over this
annotation. If omitted or blank, no hover label
will appear.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
opacity
Sets the opacity of the annotation (text +
arrow).
showarrow
Determines whether or not the annotation is
drawn with an arrow. If True, `text` is placed
near the arrow's tail. If False, `text` lines
up with the `x` and `y` provided.
standoff
Sets a distance, in pixels, to move the end
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
startarrowhead
Sets the start annotation arrow head style.
startarrowsize
Sets the size of the start annotation arrow
head, relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
startstandoff
Sets a distance, in pixels, to move the start
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
text
Sets the text associated with this annotation.
Plotly uses a subset of HTML tags to do things
like newline (<br>), bold (<b></b>), italics
(<i></i>), hyperlinks (<a href='...'></a>).
Tags <em>, <sup>, <sub>, <s>, <u> <span> are
also supported.
textangle
Sets the angle at which the `text` is drawn
with respect to the horizontal.
valign
Sets the vertical alignment of the `text`
within the box. Has an effect only if an
explicit height is set to override the text
height.
visible
Determines whether or not this annotation is
visible.
width
Sets an explicit width for the text box. null
(default) lets the text set the box width.
Wider text will be clipped. There is no
automatic wrapping; use <br> to start a new
line.
x
Sets the annotation's x position.
xanchor
Sets the text box's horizontal position anchor
This anchor binds the `x` position to the
"left", "center" or "right" of the annotation.
For example, if `x` is set to 1, `xref` to
"paper" and `xanchor` to "right" then the
right-most portion of the annotation lines up
with the right-most edge of the plotting area.
If "auto", the anchor is equivalent to "center"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
xshift
Shifts the position of the whole annotation and
arrow to the right (positive) or left
(negative) by this many pixels.
y
Sets the annotation's y position.
yanchor
Sets the text box's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the annotation.
For example, if `y` is set to 1, `yref` to
"paper" and `yanchor` to "top" then the top-
most portion of the annotation lines up with
the top-most edge of the plotting area. If
"auto", the anchor is equivalent to "middle"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
yshift
Shifts the position of the whole annotation and
arrow up (positive) or down (negative) by this
many pixels.
z
Sets the annotation's z position.
Returns
-------
tuple[plotly.graph_objs.layout.scene.Annotation]
"""
return self["annotations"] | The 'annotations' property is a tuple of instances of
Annotation that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.scene.Annotation
- A list or tuple of dicts of string/value properties that
will be passed to the Annotation constructor
Supported dict properties:
align
Sets the horizontal alignment of the `text`
within the box. Has an effect only if `text`
spans two or more lines (i.e. `text` contains
one or more <br> HTML tags) or if an explicit
width is set to override the text width.
arrowcolor
Sets the color of the annotation arrow.
arrowhead
Sets the end annotation arrow head style.
arrowside
Sets the annotation arrow head position.
arrowsize
Sets the size of the end annotation arrow head,
relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
arrowwidth
Sets the width (in px) of annotation arrow
line.
ax
Sets the x component of the arrow tail about
the arrow head (in pixels).
ay
Sets the y component of the arrow tail about
the arrow head (in pixels).
bgcolor
Sets the background color of the annotation.
bordercolor
Sets the color of the border enclosing the
annotation `text`.
borderpad
Sets the padding (in px) between the `text` and
the enclosing border.
borderwidth
Sets the width (in px) of the border enclosing
the annotation `text`.
captureevents
Determines whether the annotation text box
captures mouse move and click events, or allows
those events to pass through to data points in
the plot that may be behind the annotation. By
default `captureevents` is False unless
`hovertext` is provided. If you use the event
`plotly_clickannotation` without `hovertext`
you must explicitly enable `captureevents`.
font
Sets the annotation text font.
height
Sets an explicit height for the text box. null
(default) lets the text set the box height.
Taller text will be clipped.
hoverlabel
:class:`plotly.graph_objects.layout.scene.annot
ation.Hoverlabel` instance or dict with
compatible properties
hovertext
Sets text to appear when hovering over this
annotation. If omitted or blank, no hover label
will appear.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
opacity
Sets the opacity of the annotation (text +
arrow).
showarrow
Determines whether or not the annotation is
drawn with an arrow. If True, `text` is placed
near the arrow's tail. If False, `text` lines
up with the `x` and `y` provided.
standoff
Sets a distance, in pixels, to move the end
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
startarrowhead
Sets the start annotation arrow head style.
startarrowsize
Sets the size of the start annotation arrow
head, relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
startstandoff
Sets a distance, in pixels, to move the start
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
text
Sets the text associated with this annotation.
Plotly uses a subset of HTML tags to do things
like newline (<br>), bold (<b></b>), italics
(<i></i>), hyperlinks (<a href='...'></a>).
Tags <em>, <sup>, <sub>, <s>, <u> <span> are
also supported.
textangle
Sets the angle at which the `text` is drawn
with respect to the horizontal.
valign
Sets the vertical alignment of the `text`
within the box. Has an effect only if an
explicit height is set to override the text
height.
visible
Determines whether or not this annotation is
visible.
width
Sets an explicit width for the text box. null
(default) lets the text set the box width.
Wider text will be clipped. There is no
automatic wrapping; use <br> to start a new
line.
x
Sets the annotation's x position.
xanchor
Sets the text box's horizontal position anchor
This anchor binds the `x` position to the
"left", "center" or "right" of the annotation.
For example, if `x` is set to 1, `xref` to
"paper" and `xanchor` to "right" then the
right-most portion of the annotation lines up
with the right-most edge of the plotting area.
If "auto", the anchor is equivalent to "center"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
xshift
Shifts the position of the whole annotation and
arrow to the right (positive) or left
(negative) by this many pixels.
y
Sets the annotation's y position.
yanchor
Sets the text box's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the annotation.
For example, if `y` is set to 1, `yref` to
"paper" and `yanchor` to "top" then the top-
most portion of the annotation lines up with
the top-most edge of the plotting area. If
"auto", the anchor is equivalent to "middle"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
yshift
Shifts the position of the whole annotation and
arrow up (positive) or down (negative) by this
many pixels.
z
Sets the annotation's z position.
Returns
-------
tuple[plotly.graph_objs.layout.scene.Annotation] | annotations | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def annotationdefaults(self):
"""
When used in a template (as
layout.template.layout.scene.annotationdefaults), sets the
default property values to use for elements of
layout.scene.annotations
The 'annotationdefaults' property is an instance of Annotation
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Annotation`
- A dict of string/value properties that will be passed
to the Annotation constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.scene.Annotation
"""
return self["annotationdefaults"] | When used in a template (as
layout.template.layout.scene.annotationdefaults), sets the
default property values to use for elements of
layout.scene.annotations
The 'annotationdefaults' property is an instance of Annotation
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Annotation`
- A dict of string/value properties that will be passed
to the Annotation constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.scene.Annotation | annotationdefaults | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def aspectmode(self):
"""
If "cube", this scene's axes are drawn as a cube, regardless of
the axes' ranges. If "data", this scene's axes are drawn in
proportion with the axes' ranges. If "manual", this scene's
axes are drawn in proportion with the input of "aspectratio"
(the default behavior if "aspectratio" is provided). If "auto",
this scene's axes are drawn using the results of "data" except
when one axis is more than four times the size of the two
others, where in that case the results of "cube" are used.
The 'aspectmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'cube', 'data', 'manual']
Returns
-------
Any
"""
return self["aspectmode"] | If "cube", this scene's axes are drawn as a cube, regardless of
the axes' ranges. If "data", this scene's axes are drawn in
proportion with the axes' ranges. If "manual", this scene's
axes are drawn in proportion with the input of "aspectratio"
(the default behavior if "aspectratio" is provided). If "auto",
this scene's axes are drawn using the results of "data" except
when one axis is more than four times the size of the two
others, where in that case the results of "cube" are used.
The 'aspectmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'cube', 'data', 'manual']
Returns
-------
Any | aspectmode | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def aspectratio(self):
"""
Sets this scene's axis aspectratio.
The 'aspectratio' property is an instance of Aspectratio
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`
- A dict of string/value properties that will be passed
to the Aspectratio constructor
Supported dict properties:
x
y
z
Returns
-------
plotly.graph_objs.layout.scene.Aspectratio
"""
return self["aspectratio"] | Sets this scene's axis aspectratio.
The 'aspectratio' property is an instance of Aspectratio
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Aspectratio`
- A dict of string/value properties that will be passed
to the Aspectratio constructor
Supported dict properties:
x
y
z
Returns
-------
plotly.graph_objs.layout.scene.Aspectratio | aspectratio | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def bgcolor(self):
"""
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["bgcolor"] | The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str | bgcolor | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def camera(self):
"""
The 'camera' property is an instance of Camera
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Camera`
- A dict of string/value properties that will be passed
to the Camera constructor
Supported dict properties:
center
Sets the (x,y,z) components of the 'center'
camera vector This vector determines the
translation (x,y,z) space about the center of
this scene. By default, there is no such
translation.
eye
Sets the (x,y,z) components of the 'eye' camera
vector. This vector determines the view point
about the origin of this scene.
projection
:class:`plotly.graph_objects.layout.scene.camer
a.Projection` instance or dict with compatible
properties
up
Sets the (x,y,z) components of the 'up' camera
vector. This vector determines the up direction
of this scene with respect to the page. The
default is *{x: 0, y: 0, z: 1}* which means
that the z axis points up.
Returns
-------
plotly.graph_objs.layout.scene.Camera
"""
return self["camera"] | The 'camera' property is an instance of Camera
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Camera`
- A dict of string/value properties that will be passed
to the Camera constructor
Supported dict properties:
center
Sets the (x,y,z) components of the 'center'
camera vector This vector determines the
translation (x,y,z) space about the center of
this scene. By default, there is no such
translation.
eye
Sets the (x,y,z) components of the 'eye' camera
vector. This vector determines the view point
about the origin of this scene.
projection
:class:`plotly.graph_objects.layout.scene.camer
a.Projection` instance or dict with compatible
properties
up
Sets the (x,y,z) components of the 'up' camera
vector. This vector determines the up direction
of this scene with respect to the page. The
default is *{x: 0, y: 0, z: 1}* which means
that the z axis points up.
Returns
-------
plotly.graph_objs.layout.scene.Camera | camera | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def domain(self):
"""
The 'domain' property is an instance of Domain
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Domain`
- A dict of string/value properties that will be passed
to the Domain constructor
Supported dict properties:
column
If there is a layout grid, use the domain for
this column in the grid for this scene subplot
.
row
If there is a layout grid, use the domain for
this row in the grid for this scene subplot .
x
Sets the horizontal domain of this scene
subplot (in plot fraction).
y
Sets the vertical domain of this scene subplot
(in plot fraction).
Returns
-------
plotly.graph_objs.layout.scene.Domain
"""
return self["domain"] | The 'domain' property is an instance of Domain
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.Domain`
- A dict of string/value properties that will be passed
to the Domain constructor
Supported dict properties:
column
If there is a layout grid, use the domain for
this column in the grid for this scene subplot
.
row
If there is a layout grid, use the domain for
this row in the grid for this scene subplot .
x
Sets the horizontal domain of this scene
subplot (in plot fraction).
y
Sets the vertical domain of this scene subplot
(in plot fraction).
Returns
-------
plotly.graph_objs.layout.scene.Domain | domain | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def dragmode(self):
"""
Determines the mode of drag interactions for this scene.
The 'dragmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['orbit', 'turntable', 'zoom', 'pan', False]
Returns
-------
Any
"""
return self["dragmode"] | Determines the mode of drag interactions for this scene.
The 'dragmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['orbit', 'turntable', 'zoom', 'pan', False]
Returns
-------
Any | dragmode | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def hovermode(self):
"""
Determines the mode of hover interactions for this scene.
The 'hovermode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['closest', False]
Returns
-------
Any
"""
return self["hovermode"] | Determines the mode of hover interactions for this scene.
The 'hovermode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['closest', False]
Returns
-------
Any | hovermode | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def uirevision(self):
"""
Controls persistence of user-driven changes in camera
attributes. Defaults to `layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
"""
return self["uirevision"] | Controls persistence of user-driven changes in camera
attributes. Defaults to `layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any | uirevision | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def xaxis(self):
"""
The 'xaxis' property is an instance of XAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.XAxis`
- A dict of string/value properties that will be passed
to the XAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.xaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.xaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.xaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.xaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.xaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.XAxis
"""
return self["xaxis"] | The 'xaxis' property is an instance of XAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.XAxis`
- A dict of string/value properties that will be passed
to the XAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.xaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.xaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.xaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.xaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.xaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.XAxis | xaxis | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def yaxis(self):
"""
The 'yaxis' property is an instance of YAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.YAxis`
- A dict of string/value properties that will be passed
to the YAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.yaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.yaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.yaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.yaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.yaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.YAxis
"""
return self["yaxis"] | The 'yaxis' property is an instance of YAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.YAxis`
- A dict of string/value properties that will be passed
to the YAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.yaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.yaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.yaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.yaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.yaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.YAxis | yaxis | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def zaxis(self):
"""
The 'zaxis' property is an instance of ZAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.ZAxis`
- A dict of string/value properties that will be passed
to the ZAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.zaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.zaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.zaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.zaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.zaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.ZAxis
"""
return self["zaxis"] | The 'zaxis' property is an instance of ZAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.scene.ZAxis`
- A dict of string/value properties that will be passed
to the ZAxis constructor
Supported dict properties:
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided and it has a value for both the lower
and upper bound, `autorange` is set to False.
Using "min" applies autorange only to set the
minimum. Using "max" applies autorange only to
set the maximum. Using *min reversed* applies
autorange only to set the minimum on a reversed
axis. Using *max reversed* applies autorange
only to set the maximum on a reversed axis.
Using "reversed" applies autorange on both ends
and reverses the axis direction.
autorangeoptions
:class:`plotly.graph_objects.layout.scene.zaxis
.Autorangeoptions` instance or dict with
compatible properties
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
backgroundcolor
Sets the background color of this axis' wall.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean, geometric mean or median of all the
values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
gridcolor
Sets the color of the grid lines.
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
labelalias
Replacement text for specific tick or hover
labels. For example using {US: 'USA', CA:
'Canada'} changes US to USA and CA to Canada.
The labels we would have shown must match the
keys exactly, after adding any tickprefix or
ticksuffix. For negative numbers the minus sign
symbol used (U+2212) is wider than the regular
ascii dash. That means you need to use −1
instead of -1. labelalias can be used with any
axis type, and both keys (if needed) and values
(if desired) can include html-like tags or
MathJax.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
maxallowed
Determines the maximum range of this axis.
minallowed
Determines the minimum range of this axis.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears. Leaving either or both
elements `null` impacts the default
`autorange`.
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
separatethousands
If "true", even 4-digit integers are separated
showaxeslabels
Sets whether or not this axis is labeled
showbackground
Sets whether or not this axis' wall has a
background color.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Sets whether or not spikes starting from data
points to this axis' wall are shown on hover.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
spikecolor
Sets the color of the spikes.
spikesides
Sets whether or not spikes extending from the
projection data points to this axis' wall
boundaries are shown on hover.
spikethickness
Sets the thickness (in px) of the spikes.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
format. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
scene.zaxis.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.scene.zaxis.tickformatstopdefaults), sets
the default property values to use for elements
of layout.scene.zaxis.tickformatstops
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.scene.zaxis
.Title` instance or dict with compatible
properties
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
Returns
-------
plotly.graph_objs.layout.scene.ZAxis | zaxis | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def __init__(
self,
arg=None,
annotations=None,
annotationdefaults=None,
aspectmode=None,
aspectratio=None,
bgcolor=None,
camera=None,
domain=None,
dragmode=None,
hovermode=None,
uirevision=None,
xaxis=None,
yaxis=None,
zaxis=None,
**kwargs,
):
"""
Construct a new Scene object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.Scene`
annotations
A tuple of
:class:`plotly.graph_objects.layout.scene.Annotation`
instances or dicts with compatible properties
annotationdefaults
When used in a template (as
layout.template.layout.scene.annotationdefaults), sets
the default property values to use for elements of
layout.scene.annotations
aspectmode
If "cube", this scene's axes are drawn as a cube,
regardless of the axes' ranges. If "data", this scene's
axes are drawn in proportion with the axes' ranges. If
"manual", this scene's axes are drawn in proportion
with the input of "aspectratio" (the default behavior
if "aspectratio" is provided). If "auto", this scene's
axes are drawn using the results of "data" except when
one axis is more than four times the size of the two
others, where in that case the results of "cube" are
used.
aspectratio
Sets this scene's axis aspectratio.
bgcolor
camera
:class:`plotly.graph_objects.layout.scene.Camera`
instance or dict with compatible properties
domain
:class:`plotly.graph_objects.layout.scene.Domain`
instance or dict with compatible properties
dragmode
Determines the mode of drag interactions for this
scene.
hovermode
Determines the mode of hover interactions for this
scene.
uirevision
Controls persistence of user-driven changes in camera
attributes. Defaults to `layout.uirevision`.
xaxis
:class:`plotly.graph_objects.layout.scene.XAxis`
instance or dict with compatible properties
yaxis
:class:`plotly.graph_objects.layout.scene.YAxis`
instance or dict with compatible properties
zaxis
:class:`plotly.graph_objects.layout.scene.ZAxis`
instance or dict with compatible properties
Returns
-------
Scene
"""
super(Scene, self).__init__("scene")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.Scene
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.Scene`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("annotations", None)
_v = annotations if annotations is not None else _v
if _v is not None:
self["annotations"] = _v
_v = arg.pop("annotationdefaults", None)
_v = annotationdefaults if annotationdefaults is not None else _v
if _v is not None:
self["annotationdefaults"] = _v
_v = arg.pop("aspectmode", None)
_v = aspectmode if aspectmode is not None else _v
if _v is not None:
self["aspectmode"] = _v
_v = arg.pop("aspectratio", None)
_v = aspectratio if aspectratio is not None else _v
if _v is not None:
self["aspectratio"] = _v
_v = arg.pop("bgcolor", None)
_v = bgcolor if bgcolor is not None else _v
if _v is not None:
self["bgcolor"] = _v
_v = arg.pop("camera", None)
_v = camera if camera is not None else _v
if _v is not None:
self["camera"] = _v
_v = arg.pop("domain", None)
_v = domain if domain is not None else _v
if _v is not None:
self["domain"] = _v
_v = arg.pop("dragmode", None)
_v = dragmode if dragmode is not None else _v
if _v is not None:
self["dragmode"] = _v
_v = arg.pop("hovermode", None)
_v = hovermode if hovermode is not None else _v
if _v is not None:
self["hovermode"] = _v
_v = arg.pop("uirevision", None)
_v = uirevision if uirevision is not None else _v
if _v is not None:
self["uirevision"] = _v
_v = arg.pop("xaxis", None)
_v = xaxis if xaxis is not None else _v
if _v is not None:
self["xaxis"] = _v
_v = arg.pop("yaxis", None)
_v = yaxis if yaxis is not None else _v
if _v is not None:
self["yaxis"] = _v
_v = arg.pop("zaxis", None)
_v = zaxis if zaxis is not None else _v
if _v is not None:
self["zaxis"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Scene object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.Scene`
annotations
A tuple of
:class:`plotly.graph_objects.layout.scene.Annotation`
instances or dicts with compatible properties
annotationdefaults
When used in a template (as
layout.template.layout.scene.annotationdefaults), sets
the default property values to use for elements of
layout.scene.annotations
aspectmode
If "cube", this scene's axes are drawn as a cube,
regardless of the axes' ranges. If "data", this scene's
axes are drawn in proportion with the axes' ranges. If
"manual", this scene's axes are drawn in proportion
with the input of "aspectratio" (the default behavior
if "aspectratio" is provided). If "auto", this scene's
axes are drawn using the results of "data" except when
one axis is more than four times the size of the two
others, where in that case the results of "cube" are
used.
aspectratio
Sets this scene's axis aspectratio.
bgcolor
camera
:class:`plotly.graph_objects.layout.scene.Camera`
instance or dict with compatible properties
domain
:class:`plotly.graph_objects.layout.scene.Domain`
instance or dict with compatible properties
dragmode
Determines the mode of drag interactions for this
scene.
hovermode
Determines the mode of hover interactions for this
scene.
uirevision
Controls persistence of user-driven changes in camera
attributes. Defaults to `layout.uirevision`.
xaxis
:class:`plotly.graph_objects.layout.scene.XAxis`
instance or dict with compatible properties
yaxis
:class:`plotly.graph_objects.layout.scene.YAxis`
instance or dict with compatible properties
zaxis
:class:`plotly.graph_objects.layout.scene.ZAxis`
instance or dict with compatible properties
Returns
-------
Scene | __init__ | python | plotly/plotly.py | plotly/graph_objs/layout/_scene.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_scene.py | MIT |
def imshow(
img,
zmin=None,
zmax=None,
origin=None,
labels={},
x=None,
y=None,
animation_frame=None,
facet_col=None,
facet_col_wrap=None,
facet_col_spacing=None,
facet_row_spacing=None,
color_continuous_scale=None,
color_continuous_midpoint=None,
range_color=None,
title=None,
template=None,
width=None,
height=None,
aspect=None,
contrast_rescaling=None,
binary_string=None,
binary_backend="auto",
binary_compression_level=4,
binary_format="png",
text_auto=False,
) -> go.Figure:
"""
Display an image, i.e. data on a 2D regular raster.
Parameters
----------
img: array-like image, or xarray
The image data. Supported array shapes are
- (M, N): an image with scalar data. The data is visualized
using a colormap.
- (M, N, 3): an image with RGB values.
- (M, N, 4): an image with RGBA values, i.e. including transparency.
zmin, zmax : scalar or iterable, optional
zmin and zmax define the scalar range that the colormap covers. By default,
zmin and zmax correspond to the min and max values of the datatype for integer
datatypes (ie [0-255] for uint8 images, [0, 65535] for uint16 images, etc.). For
a multichannel image of floats, the max of the image is computed and zmax is the
smallest power of 256 (1, 255, 65535) greater than this max value,
with a 5% tolerance. For a single-channel image, the max of the image is used.
Overridden by range_color.
origin : str, 'upper' or 'lower' (default 'upper')
position of the [0, 0] pixel of the image array, in the upper left or lower left
corner. The convention 'upper' is typically used for matrices and images.
labels : dict with str keys and str values (default `{}`)
Sets names used in the figure for axis titles (keys ``x`` and ``y``),
colorbar title and hoverlabel (key ``color``). The values should correspond
to the desired label to be displayed. If ``img`` is an xarray, dimension
names are used for axis titles, and long name for the colorbar title
(unless overridden in ``labels``). Possible keys are: x, y, and color.
x, y: list-like, optional
x and y are used to label the axes of single-channel heatmap visualizations and
their lengths must match the lengths of the second and first dimensions of the
img argument. They are auto-populated if the input is an xarray.
animation_frame: int or str, optional (default None)
axis number along which the image array is sliced to create an animation plot.
If `img` is an xarray, `animation_frame` can be the name of one the dimensions.
facet_col: int or str, optional (default None)
axis number along which the image array is sliced to create a facetted plot.
If `img` is an xarray, `facet_col` can be the name of one the dimensions.
facet_col_wrap: int
Maximum number of facet columns. Wraps the column variable at this width,
so that the column facets span multiple rows.
Ignored if `facet_col` is None.
facet_col_spacing: float between 0 and 1
Spacing between facet columns, in paper units. Default is 0.02.
facet_row_spacing: float between 0 and 1
Spacing between facet rows created when ``facet_col_wrap`` is used, in
paper units. Default is 0.0.7.
color_continuous_scale : str or list of str
colormap used to map scalar data to colors (for a 2D image). This parameter is
not used for RGB or RGBA images. If a string is provided, it should be the name
of a known color scale, and if a list is provided, it should be a list of CSS-
compatible colors.
color_continuous_midpoint : number
If set, computes the bounds of the continuous color scale to have the desired
midpoint. Overridden by range_color or zmin and zmax.
range_color : list of two numbers
If provided, overrides auto-scaling on the continuous color scale, including
overriding `color_continuous_midpoint`. Also overrides zmin and zmax. Used only
for single-channel images.
title : str
The figure title.
template : str or dict or plotly.graph_objects.layout.Template instance
The figure template name or definition.
width : number
The figure width in pixels.
height: number
The figure height in pixels.
aspect: 'equal', 'auto', or None
- 'equal': Ensures an aspect ratio of 1 or pixels (square pixels)
- 'auto': The axes is kept fixed and the aspect ratio of pixels is
adjusted so that the data fit in the axes. In general, this will
result in non-square pixels.
- if None, 'equal' is used for numpy arrays and 'auto' for xarrays
(which have typically heterogeneous coordinates)
contrast_rescaling: 'minmax', 'infer', or None
how to determine data values corresponding to the bounds of the color
range, when zmin or zmax are not passed. If `minmax`, the min and max
values of the image are used. If `infer`, a heuristic based on the image
data type is used.
binary_string: bool, default None
if True, the image data are first rescaled and encoded as uint8 and
then passed to plotly.js as a b64 PNG string. If False, data are passed
unchanged as a numerical array. Setting to True may lead to performance
gains, at the cost of a loss of precision depending on the original data
type. If None, use_binary_string is set to True for multichannel (eg) RGB
arrays, and to False for single-channel (2D) arrays. 2D arrays are
represented as grayscale and with no colorbar if use_binary_string is
True.
binary_backend: str, 'auto' (default), 'pil' or 'pypng'
Third-party package for the transformation of numpy arrays to
png b64 strings. If 'auto', Pillow is used if installed, otherwise
pypng.
binary_compression_level: int, between 0 and 9 (default 4)
png compression level to be passed to the backend when transforming an
array to a png b64 string. Increasing `binary_compression` decreases the
size of the png string, but the compression step takes more time. For most
images it is not worth using levels greater than 5, but it's possible to
test `len(fig.data[0].source)` and to time the execution of `imshow` to
tune the level of compression. 0 means no compression (not recommended).
binary_format: str, 'png' (default) or 'jpg'
compression format used to generate b64 string. 'png' is recommended
since it uses lossless compression, but 'jpg' (lossy) compression can
result if smaller binary strings for natural images.
text_auto: bool or str (default `False`)
If `True` or a string, single-channel `img` values will be displayed as text.
A string like `'.2f'` will be interpreted as a `texttemplate` numeric formatting directive.
Returns
-------
fig : graph_objects.Figure containing the displayed image
See also
--------
plotly.graph_objects.Image : image trace
plotly.graph_objects.Heatmap : heatmap trace
Notes
-----
In order to update and customize the returned figure, use
`go.Figure.update_traces` or `go.Figure.update_layout`.
If an xarray is passed, dimensions names and coordinates are used for
axes labels and ticks.
"""
args = locals()
apply_default_cascade(args)
labels = labels.copy()
nslices_facet = 1
if facet_col is not None:
if isinstance(facet_col, str):
facet_col = img.dims.index(facet_col)
nslices_facet = img.shape[facet_col]
facet_slices = range(nslices_facet)
ncols = int(facet_col_wrap) if facet_col_wrap is not None else nslices_facet
nrows = (
nslices_facet // ncols + 1
if nslices_facet % ncols
else nslices_facet // ncols
)
else:
nrows = 1
ncols = 1
if animation_frame is not None:
if isinstance(animation_frame, str):
animation_frame = img.dims.index(animation_frame)
nslices_animation = img.shape[animation_frame]
animation_slices = range(nslices_animation)
slice_dimensions = (facet_col is not None) + (
animation_frame is not None
) # 0, 1, or 2
facet_label = None
animation_label = None
img_is_xarray = False
# ----- Define x and y, set labels if img is an xarray -------------------
if xarray_imported and isinstance(img, xarray.DataArray):
dims = list(img.dims)
img_is_xarray = True
pop_indexes = []
if facet_col is not None:
facet_slices = img.coords[img.dims[facet_col]].values
pop_indexes.append(facet_col)
facet_label = img.dims[facet_col]
if animation_frame is not None:
animation_slices = img.coords[img.dims[animation_frame]].values
pop_indexes.append(animation_frame)
animation_label = img.dims[animation_frame]
# Remove indices in sorted order.
for index in sorted(pop_indexes, reverse=True):
_ = dims.pop(index)
y_label, x_label = dims[0], dims[1]
# np.datetime64 is not handled correctly by go.Heatmap
for ax in [x_label, y_label]:
if np.issubdtype(img.coords[ax].dtype, np.datetime64):
img.coords[ax] = img.coords[ax].astype(str)
if x is None:
x = img.coords[x_label].values
if y is None:
y = img.coords[y_label].values
if aspect is None:
aspect = "auto"
if labels.get("x", None) is None:
labels["x"] = x_label
if labels.get("y", None) is None:
labels["y"] = y_label
if labels.get("animation_frame", None) is None:
labels["animation_frame"] = animation_label
if labels.get("facet_col", None) is None:
labels["facet_col"] = facet_label
if labels.get("color", None) is None:
labels["color"] = xarray.plot.utils.label_from_attrs(img)
labels["color"] = labels["color"].replace("\n", "<br>")
else:
if hasattr(img, "columns") and hasattr(img.columns, "__len__"):
if x is None:
x = img.columns
if labels.get("x", None) is None and hasattr(img.columns, "name"):
labels["x"] = img.columns.name or ""
if hasattr(img, "index") and hasattr(img.index, "__len__"):
if y is None:
y = img.index
if labels.get("y", None) is None and hasattr(img.index, "name"):
labels["y"] = img.index.name or ""
if labels.get("x", None) is None:
labels["x"] = ""
if labels.get("y", None) is None:
labels["y"] = ""
if labels.get("color", None) is None:
labels["color"] = ""
if aspect is None:
aspect = "equal"
# --- Set the value of binary_string (forbidden for pandas)
img = nw.from_native(img, pass_through=True)
if isinstance(img, nw.DataFrame):
if binary_string:
raise ValueError("Binary strings cannot be used with pandas arrays")
is_dataframe = True
else:
is_dataframe = False
# --------------- Starting from here img is always a numpy array --------
img = np.asanyarray(img)
# Reshape array so that animation dimension comes first, then facets, then images
if facet_col is not None:
img = np.moveaxis(img, facet_col, 0)
if animation_frame is not None and animation_frame < facet_col:
animation_frame += 1
facet_col = True
if animation_frame is not None:
img = np.moveaxis(img, animation_frame, 0)
animation_frame = True
args["animation_frame"] = (
"animation_frame"
if labels.get("animation_frame") is None
else labels["animation_frame"]
)
iterables = ()
if animation_frame is not None:
iterables += (range(nslices_animation),)
if facet_col is not None:
iterables += (range(nslices_facet),)
# Default behaviour of binary_string: True for RGB images, False for 2D
if binary_string is None:
binary_string = img.ndim >= (3 + slice_dimensions) and not is_dataframe
# Cast bools to uint8 (also one byte)
if img.dtype == bool:
img = 255 * img.astype(np.uint8)
if range_color is not None:
zmin = range_color[0]
zmax = range_color[1]
# -------- Contrast rescaling: either minmax or infer ------------------
if contrast_rescaling is None:
contrast_rescaling = "minmax" if img.ndim == (2 + slice_dimensions) else "infer"
# We try to set zmin and zmax only if necessary, because traces have good defaults
if contrast_rescaling == "minmax":
# When using binary_string and minmax we need to set zmin and zmax to rescale the image
if (zmin is not None or binary_string) and zmax is None:
zmax = img.max()
if (zmax is not None or binary_string) and zmin is None:
zmin = img.min()
else:
# For uint8 data and infer we let zmin and zmax to be None if passed as None
if zmax is None and img.dtype != np.uint8:
zmax = _infer_zmax_from_type(img)
if zmin is None and zmax is not None:
zmin = 0
# For 2d data, use Heatmap trace, unless binary_string is True
if img.ndim == 2 + slice_dimensions and not binary_string:
y_index = slice_dimensions
if y is not None and img.shape[y_index] != len(y):
raise ValueError(
"The length of the y vector must match the length of the first "
+ "dimension of the img matrix."
)
x_index = slice_dimensions + 1
if x is not None and img.shape[x_index] != len(x):
raise ValueError(
"The length of the x vector must match the length of the second "
+ "dimension of the img matrix."
)
texttemplate = None
if text_auto is True:
texttemplate = "%{z}"
elif text_auto is not False:
texttemplate = "%{z:" + text_auto + "}"
traces = [
go.Heatmap(
x=x,
y=y,
z=img[index_tup],
coloraxis="coloraxis1",
name=str(i),
texttemplate=texttemplate,
)
for i, index_tup in enumerate(itertools.product(*iterables))
]
autorange = True if origin == "lower" else "reversed"
layout = dict(yaxis=dict(autorange=autorange))
if aspect == "equal":
layout["xaxis"] = dict(scaleanchor="y", constrain="domain")
layout["yaxis"]["constrain"] = "domain"
colorscale_validator = ColorscaleValidator("colorscale", "imshow")
layout["coloraxis1"] = dict(
colorscale=colorscale_validator.validate_coerce(
args["color_continuous_scale"]
),
cmid=color_continuous_midpoint,
cmin=zmin,
cmax=zmax,
)
if labels["color"]:
layout["coloraxis1"]["colorbar"] = dict(title_text=labels["color"])
# For 2D+RGB data, use Image trace
elif (
img.ndim >= 3
and (img.shape[-1] in [3, 4] or slice_dimensions and binary_string)
) or (img.ndim == 2 and binary_string):
rescale_image = True # to check whether image has been modified
if zmin is not None and zmax is not None:
zmin, zmax = (
_vectorize_zvalue(zmin, mode="min"),
_vectorize_zvalue(zmax, mode="max"),
)
x0, y0, dx, dy = (None,) * 4
error_msg_xarray = (
"Non-numerical coordinates were passed with xarray `img`, but "
"the Image trace cannot handle it. Please use `binary_string=False` "
"for 2D data or pass instead the numpy array `img.values` to `px.imshow`."
)
if x is not None:
x = np.asanyarray(x)
if np.issubdtype(x.dtype, np.number):
x0 = x[0]
dx = x[1] - x[0]
else:
error_msg = (
error_msg_xarray
if img_is_xarray
else (
"Only numerical values are accepted for the `x` parameter "
"when an Image trace is used."
)
)
raise ValueError(error_msg)
if y is not None:
y = np.asanyarray(y)
if np.issubdtype(y.dtype, np.number):
y0 = y[0]
dy = y[1] - y[0]
else:
error_msg = (
error_msg_xarray
if img_is_xarray
else (
"Only numerical values are accepted for the `y` parameter "
"when an Image trace is used."
)
)
raise ValueError(error_msg)
if binary_string:
if zmin is None and zmax is None: # no rescaling, faster
img_rescaled = img
rescale_image = False
elif img.ndim == 2 + slice_dimensions: # single-channel image
img_rescaled = rescale_intensity(
img, in_range=(zmin[0], zmax[0]), out_range=np.uint8
)
else:
img_rescaled = np.stack(
[
rescale_intensity(
img[..., ch],
in_range=(zmin[ch], zmax[ch]),
out_range=np.uint8,
)
for ch in range(img.shape[-1])
],
axis=-1,
)
img_str = [
image_array_to_data_uri(
img_rescaled[index_tup],
backend=binary_backend,
compression=binary_compression_level,
ext=binary_format,
)
for index_tup in itertools.product(*iterables)
]
traces = [
go.Image(source=img_str_slice, name=str(i), x0=x0, y0=y0, dx=dx, dy=dy)
for i, img_str_slice in enumerate(img_str)
]
else:
colormodel = "rgb" if img.shape[-1] == 3 else "rgba256"
traces = [
go.Image(
z=img[index_tup],
zmin=zmin,
zmax=zmax,
colormodel=colormodel,
x0=x0,
y0=y0,
dx=dx,
dy=dy,
)
for index_tup in itertools.product(*iterables)
]
layout = {}
if origin == "lower" or (dy is not None and dy < 0):
layout["yaxis"] = dict(autorange=True)
if dx is not None and dx < 0:
layout["xaxis"] = dict(autorange="reversed")
else:
raise ValueError(
"px.imshow only accepts 2D single-channel, RGB or RGBA images. "
"An image of shape %s was provided. "
"Alternatively, 3- or 4-D single or multichannel datasets can be "
"visualized using the `facet_col` or/and `animation_frame` arguments."
% str(img.shape)
)
# Now build figure
col_labels = []
if facet_col is not None:
slice_label = (
"facet_col" if labels.get("facet_col") is None else labels["facet_col"]
)
col_labels = [f"{slice_label}={i}" for i in facet_slices]
fig = init_figure(args, "xy", [], nrows, ncols, col_labels, [])
for attr_name in ["height", "width"]:
if args[attr_name]:
layout[attr_name] = args[attr_name]
if args["title"]:
layout["title_text"] = args["title"]
elif args["template"].layout.margin.t is None:
layout["margin"] = {"t": 60}
frame_list = []
for index, trace in enumerate(traces):
if (facet_col and index < nrows * ncols) or index == 0:
fig.add_trace(trace, row=nrows - index // ncols, col=index % ncols + 1)
if animation_frame is not None:
for i, index in zip(range(nslices_animation), animation_slices):
frame_list.append(
dict(
data=traces[nslices_facet * i : nslices_facet * (i + 1)],
layout=layout,
name=str(index),
)
)
if animation_frame:
fig.frames = frame_list
fig.update_layout(layout)
# Hover name, z or color
if binary_string and rescale_image and not np.all(img == img_rescaled):
# we rescaled the image, hence z is not displayed in hover since it does
# not correspond to img values
hovertemplate = "%s: %%{x}<br>%s: %%{y}<extra></extra>" % (
labels["x"] or "x",
labels["y"] or "y",
)
else:
if trace["type"] == "heatmap":
hover_name = "%{z}"
elif img.ndim == 2:
hover_name = "%{z[0]}"
elif img.ndim == 3 and img.shape[-1] == 3:
hover_name = "[%{z[0]}, %{z[1]}, %{z[2]}]"
else:
hover_name = "%{z}"
hovertemplate = "%s: %%{x}<br>%s: %%{y}<br>%s: %s<extra></extra>" % (
labels["x"] or "x",
labels["y"] or "y",
labels["color"] or "color",
hover_name,
)
fig.update_traces(hovertemplate=hovertemplate)
if labels["x"]:
fig.update_xaxes(title_text=labels["x"], row=1)
if labels["y"]:
fig.update_yaxes(title_text=labels["y"], col=1)
configure_animation_controls(args, go.Image, fig)
fig.update_layout(template=args["template"], overwrite=True)
return fig | Display an image, i.e. data on a 2D regular raster.
Parameters
----------
img: array-like image, or xarray
The image data. Supported array shapes are
- (M, N): an image with scalar data. The data is visualized
using a colormap.
- (M, N, 3): an image with RGB values.
- (M, N, 4): an image with RGBA values, i.e. including transparency.
zmin, zmax : scalar or iterable, optional
zmin and zmax define the scalar range that the colormap covers. By default,
zmin and zmax correspond to the min and max values of the datatype for integer
datatypes (ie [0-255] for uint8 images, [0, 65535] for uint16 images, etc.). For
a multichannel image of floats, the max of the image is computed and zmax is the
smallest power of 256 (1, 255, 65535) greater than this max value,
with a 5% tolerance. For a single-channel image, the max of the image is used.
Overridden by range_color.
origin : str, 'upper' or 'lower' (default 'upper')
position of the [0, 0] pixel of the image array, in the upper left or lower left
corner. The convention 'upper' is typically used for matrices and images.
labels : dict with str keys and str values (default `{}`)
Sets names used in the figure for axis titles (keys ``x`` and ``y``),
colorbar title and hoverlabel (key ``color``). The values should correspond
to the desired label to be displayed. If ``img`` is an xarray, dimension
names are used for axis titles, and long name for the colorbar title
(unless overridden in ``labels``). Possible keys are: x, y, and color.
x, y: list-like, optional
x and y are used to label the axes of single-channel heatmap visualizations and
their lengths must match the lengths of the second and first dimensions of the
img argument. They are auto-populated if the input is an xarray.
animation_frame: int or str, optional (default None)
axis number along which the image array is sliced to create an animation plot.
If `img` is an xarray, `animation_frame` can be the name of one the dimensions.
facet_col: int or str, optional (default None)
axis number along which the image array is sliced to create a facetted plot.
If `img` is an xarray, `facet_col` can be the name of one the dimensions.
facet_col_wrap: int
Maximum number of facet columns. Wraps the column variable at this width,
so that the column facets span multiple rows.
Ignored if `facet_col` is None.
facet_col_spacing: float between 0 and 1
Spacing between facet columns, in paper units. Default is 0.02.
facet_row_spacing: float between 0 and 1
Spacing between facet rows created when ``facet_col_wrap`` is used, in
paper units. Default is 0.0.7.
color_continuous_scale : str or list of str
colormap used to map scalar data to colors (for a 2D image). This parameter is
not used for RGB or RGBA images. If a string is provided, it should be the name
of a known color scale, and if a list is provided, it should be a list of CSS-
compatible colors.
color_continuous_midpoint : number
If set, computes the bounds of the continuous color scale to have the desired
midpoint. Overridden by range_color or zmin and zmax.
range_color : list of two numbers
If provided, overrides auto-scaling on the continuous color scale, including
overriding `color_continuous_midpoint`. Also overrides zmin and zmax. Used only
for single-channel images.
title : str
The figure title.
template : str or dict or plotly.graph_objects.layout.Template instance
The figure template name or definition.
width : number
The figure width in pixels.
height: number
The figure height in pixels.
aspect: 'equal', 'auto', or None
- 'equal': Ensures an aspect ratio of 1 or pixels (square pixels)
- 'auto': The axes is kept fixed and the aspect ratio of pixels is
adjusted so that the data fit in the axes. In general, this will
result in non-square pixels.
- if None, 'equal' is used for numpy arrays and 'auto' for xarrays
(which have typically heterogeneous coordinates)
contrast_rescaling: 'minmax', 'infer', or None
how to determine data values corresponding to the bounds of the color
range, when zmin or zmax are not passed. If `minmax`, the min and max
values of the image are used. If `infer`, a heuristic based on the image
data type is used.
binary_string: bool, default None
if True, the image data are first rescaled and encoded as uint8 and
then passed to plotly.js as a b64 PNG string. If False, data are passed
unchanged as a numerical array. Setting to True may lead to performance
gains, at the cost of a loss of precision depending on the original data
type. If None, use_binary_string is set to True for multichannel (eg) RGB
arrays, and to False for single-channel (2D) arrays. 2D arrays are
represented as grayscale and with no colorbar if use_binary_string is
True.
binary_backend: str, 'auto' (default), 'pil' or 'pypng'
Third-party package for the transformation of numpy arrays to
png b64 strings. If 'auto', Pillow is used if installed, otherwise
pypng.
binary_compression_level: int, between 0 and 9 (default 4)
png compression level to be passed to the backend when transforming an
array to a png b64 string. Increasing `binary_compression` decreases the
size of the png string, but the compression step takes more time. For most
images it is not worth using levels greater than 5, but it's possible to
test `len(fig.data[0].source)` and to time the execution of `imshow` to
tune the level of compression. 0 means no compression (not recommended).
binary_format: str, 'png' (default) or 'jpg'
compression format used to generate b64 string. 'png' is recommended
since it uses lossless compression, but 'jpg' (lossy) compression can
result if smaller binary strings for natural images.
text_auto: bool or str (default `False`)
If `True` or a string, single-channel `img` values will be displayed as text.
A string like `'.2f'` will be interpreted as a `texttemplate` numeric formatting directive.
Returns
-------
fig : graph_objects.Figure containing the displayed image
See also
--------
plotly.graph_objects.Image : image trace
plotly.graph_objects.Heatmap : heatmap trace
Notes
-----
In order to update and customize the returned figure, use
`go.Figure.update_traces` or `go.Figure.update_layout`.
If an xarray is passed, dimensions names and coordinates are used for
axes labels and ticks. | imshow | python | plotly/plotly.py | plotly/express/_imshow.py | https://github.com/plotly/plotly.py/blob/master/plotly/express/_imshow.py | MIT |
def font(self):
"""
Sets this legend group's title font.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.splom.legendgrouptitle.Font`
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans", "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text,
such as an "under", "over" or "through" as well
as combinations e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind
text. "auto" places minimal shadow and applies
contrast text font color. See
https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional
options.
size
style
Sets whether a font should be styled with a
normal or italic face from its family.
textcase
Sets capitalization of text. It can be used to
make text appear in all-uppercase or all-
lowercase, or with each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
plotly.graph_objs.splom.legendgrouptitle.Font
"""
return self["font"] | Sets this legend group's title font.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.splom.legendgrouptitle.Font`
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans", "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text,
such as an "under", "over" or "through" as well
as combinations e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind
text. "auto" places minimal shadow and applies
contrast text font color. See
https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional
options.
size
style
Sets whether a font should be styled with a
normal or italic face from its family.
textcase
Sets capitalization of text. It can be used to
make text appear in all-uppercase or all-
lowercase, or with each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
plotly.graph_objs.splom.legendgrouptitle.Font | font | python | plotly/plotly.py | plotly/graph_objs/splom/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/splom/_legendgrouptitle.py | MIT |
def text(self):
"""
Sets the title of the legend group.
The 'text' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["text"] | Sets the title of the legend group.
The 'text' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | text | python | plotly/plotly.py | plotly/graph_objs/splom/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/splom/_legendgrouptitle.py | MIT |
def __init__(self, arg=None, font=None, text=None, **kwargs):
"""
Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.splom.Legendgrouptitle`
font
Sets this legend group's title font.
text
Sets the title of the legend group.
Returns
-------
Legendgrouptitle
"""
super(Legendgrouptitle, self).__init__("legendgrouptitle")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.splom.Legendgrouptitle
constructor must be a dict or
an instance of :class:`plotly.graph_objs.splom.Legendgrouptitle`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("font", None)
_v = font if font is not None else _v
if _v is not None:
self["font"] = _v
_v = arg.pop("text", None)
_v = text if text is not None else _v
if _v is not None:
self["text"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Legendgrouptitle object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.splom.Legendgrouptitle`
font
Sets this legend group's title font.
text
Sets the title of the legend group.
Returns
-------
Legendgrouptitle | __init__ | python | plotly/plotly.py | plotly/graph_objs/splom/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/splom/_legendgrouptitle.py | MIT |
def bounds(self):
"""
Sets the lower and upper bounds of this axis rangebreak. Can be
used with `pattern`.
The 'bounds' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'bounds[0]' property accepts values of any type
(1) The 'bounds[1]' property accepts values of any type
Returns
-------
list
"""
return self["bounds"] | Sets the lower and upper bounds of this axis rangebreak. Can be
used with `pattern`.
The 'bounds' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'bounds[0]' property accepts values of any type
(1) The 'bounds[1]' property accepts values of any type
Returns
-------
list | bounds | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def dvalue(self):
"""
Sets the size of each `values` item. The default is one day in
milliseconds.
The 'dvalue' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["dvalue"] | Sets the size of each `values` item. The default is one day in
milliseconds.
The 'dvalue' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | dvalue | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def enabled(self):
"""
Determines whether this axis rangebreak is enabled or disabled.
Please note that `rangebreaks` only work for "date" axis type.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["enabled"] | Determines whether this axis rangebreak is enabled or disabled.
Please note that `rangebreaks` only work for "date" axis type.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool | enabled | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["name"] | When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | name | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def pattern(self):
"""
Determines a pattern on the time line that generates breaks. If
*day of week* - days of the week in English e.g. 'Sunday' or
`sun` (matching is case-insensitive and considers only the
first three characters), as well as Sunday-based integers
between 0 and 6. If "hour" - hour (24-hour clock) as decimal
numbers between 0 and 24. for more info. Examples: - { pattern:
'day of week', bounds: [6, 1] } or simply { bounds: ['sat',
'mon'] } breaks from Saturday to Monday (i.e. skips the
weekends). - { pattern: 'hour', bounds: [17, 8] } breaks from
5pm to 8am (i.e. skips non-work hours).
The 'pattern' property is an enumeration that may be specified as:
- One of the following enumeration values:
['day of week', 'hour', '']
Returns
-------
Any
"""
return self["pattern"] | Determines a pattern on the time line that generates breaks. If
*day of week* - days of the week in English e.g. 'Sunday' or
`sun` (matching is case-insensitive and considers only the
first three characters), as well as Sunday-based integers
between 0 and 6. If "hour" - hour (24-hour clock) as decimal
numbers between 0 and 24. for more info. Examples: - { pattern:
'day of week', bounds: [6, 1] } or simply { bounds: ['sat',
'mon'] } breaks from Saturday to Monday (i.e. skips the
weekends). - { pattern: 'hour', bounds: [17, 8] } breaks from
5pm to 8am (i.e. skips non-work hours).
The 'pattern' property is an enumeration that may be specified as:
- One of the following enumeration values:
['day of week', 'hour', '']
Returns
-------
Any | pattern | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["templateitemname"] | Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | templateitemname | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def values(self):
"""
Sets the coordinate values corresponding to the rangebreaks. An
alternative to `bounds`. Use `dvalue` to set the size of the
values along the axis.
The 'values' property is an info array that may be specified as:
* a list of elements where:
The 'values[i]' property accepts values of any type
Returns
-------
list
"""
return self["values"] | Sets the coordinate values corresponding to the rangebreaks. An
alternative to `bounds`. Use `dvalue` to set the size of the
values along the axis.
The 'values' property is an info array that may be specified as:
* a list of elements where:
The 'values[i]' property accepts values of any type
Returns
-------
list | values | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def __init__(
self,
arg=None,
bounds=None,
dvalue=None,
enabled=None,
name=None,
pattern=None,
templateitemname=None,
values=None,
**kwargs,
):
"""
Construct a new Rangebreak object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.xaxis.Rangebreak`
bounds
Sets the lower and upper bounds of this axis
rangebreak. Can be used with `pattern`.
dvalue
Sets the size of each `values` item. The default is one
day in milliseconds.
enabled
Determines whether this axis rangebreak is enabled or
disabled. Please note that `rangebreaks` only work for
"date" axis type.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
pattern
Determines a pattern on the time line that generates
breaks. If *day of week* - days of the week in English
e.g. 'Sunday' or `sun` (matching is case-insensitive
and considers only the first three characters), as well
as Sunday-based integers between 0 and 6. If "hour" -
hour (24-hour clock) as decimal numbers between 0 and
24. for more info. Examples: - { pattern: 'day of
week', bounds: [6, 1] } or simply { bounds: ['sat',
'mon'] } breaks from Saturday to Monday (i.e. skips
the weekends). - { pattern: 'hour', bounds: [17, 8] }
breaks from 5pm to 8am (i.e. skips non-work hours).
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
values
Sets the coordinate values corresponding to the
rangebreaks. An alternative to `bounds`. Use `dvalue`
to set the size of the values along the axis.
Returns
-------
Rangebreak
"""
super(Rangebreak, self).__init__("rangebreaks")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.xaxis.Rangebreak
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.xaxis.Rangebreak`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("bounds", None)
_v = bounds if bounds is not None else _v
if _v is not None:
self["bounds"] = _v
_v = arg.pop("dvalue", None)
_v = dvalue if dvalue is not None else _v
if _v is not None:
self["dvalue"] = _v
_v = arg.pop("enabled", None)
_v = enabled if enabled is not None else _v
if _v is not None:
self["enabled"] = _v
_v = arg.pop("name", None)
_v = name if name is not None else _v
if _v is not None:
self["name"] = _v
_v = arg.pop("pattern", None)
_v = pattern if pattern is not None else _v
if _v is not None:
self["pattern"] = _v
_v = arg.pop("templateitemname", None)
_v = templateitemname if templateitemname is not None else _v
if _v is not None:
self["templateitemname"] = _v
_v = arg.pop("values", None)
_v = values if values is not None else _v
if _v is not None:
self["values"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Rangebreak object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.xaxis.Rangebreak`
bounds
Sets the lower and upper bounds of this axis
rangebreak. Can be used with `pattern`.
dvalue
Sets the size of each `values` item. The default is one
day in milliseconds.
enabled
Determines whether this axis rangebreak is enabled or
disabled. Please note that `rangebreaks` only work for
"date" axis type.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
pattern
Determines a pattern on the time line that generates
breaks. If *day of week* - days of the week in English
e.g. 'Sunday' or `sun` (matching is case-insensitive
and considers only the first three characters), as well
as Sunday-based integers between 0 and 6. If "hour" -
hour (24-hour clock) as decimal numbers between 0 and
24. for more info. Examples: - { pattern: 'day of
week', bounds: [6, 1] } or simply { bounds: ['sat',
'mon'] } breaks from Saturday to Monday (i.e. skips
the weekends). - { pattern: 'hour', bounds: [17, 8] }
breaks from 5pm to 8am (i.e. skips non-work hours).
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
values
Sets the coordinate values corresponding to the
rangebreaks. An alternative to `bounds`. Use `dvalue`
to set the size of the values along the axis.
Returns
-------
Rangebreak | __init__ | python | plotly/plotly.py | plotly/graph_objs/layout/xaxis/_rangebreak.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/xaxis/_rangebreak.py | MIT |
def active(self):
"""
Determines which button (by index starting from 0) is
considered active.
The 'active' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [-1, 9223372036854775807]
Returns
-------
int
"""
return self["active"] | Determines which button (by index starting from 0) is
considered active.
The 'active' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [-1, 9223372036854775807]
Returns
-------
int | active | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def bgcolor(self):
"""
Sets the background color of the update menu buttons.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["bgcolor"] | Sets the background color of the update menu buttons.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str | bgcolor | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def bordercolor(self):
"""
Sets the color of the border enclosing the update menu.
The 'bordercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["bordercolor"] | Sets the color of the border enclosing the update menu.
The 'bordercolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str | bordercolor | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def borderwidth(self):
"""
Sets the width (in px) of the border enclosing the update menu.
The 'borderwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["borderwidth"] | Sets the width (in px) of the border enclosing the update menu.
The 'borderwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | borderwidth | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def buttons(self):
"""
The 'buttons' property is a tuple of instances of
Button that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.updatemenu.Button
- A list or tuple of dicts of string/value properties that
will be passed to the Button constructor
Supported dict properties:
args
Sets the arguments values to be passed to the
Plotly method set in `method` on click.
args2
Sets a 2nd set of `args`, these arguments
values are passed to the Plotly method set in
`method` when clicking this button while in the
active state. Use this to create toggle
buttons.
execute
When true, the API method is executed. When
false, all other behaviors are the same and
command execution is skipped. This may be
useful when hooking into, for example, the
`plotly_buttonclicked` method and executing the
API command manually without losing the benefit
of the updatemenu automatically binding to the
state of the plot through the specification of
`method` and `args`.
label
Sets the text label to appear on the button.
method
Sets the Plotly method to be called on click.
If the `skip` method is used, the API
updatemenu will function as normal but will
perform no API calls and will not bind
automatically to state updates. This may be
used to create a component interface and attach
to updatemenu events manually via JavaScript.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
visible
Determines whether or not this button is
visible.
Returns
-------
tuple[plotly.graph_objs.layout.updatemenu.Button]
"""
return self["buttons"] | The 'buttons' property is a tuple of instances of
Button that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.updatemenu.Button
- A list or tuple of dicts of string/value properties that
will be passed to the Button constructor
Supported dict properties:
args
Sets the arguments values to be passed to the
Plotly method set in `method` on click.
args2
Sets a 2nd set of `args`, these arguments
values are passed to the Plotly method set in
`method` when clicking this button while in the
active state. Use this to create toggle
buttons.
execute
When true, the API method is executed. When
false, all other behaviors are the same and
command execution is skipped. This may be
useful when hooking into, for example, the
`plotly_buttonclicked` method and executing the
API command manually without losing the benefit
of the updatemenu automatically binding to the
state of the plot through the specification of
`method` and `args`.
label
Sets the text label to appear on the button.
method
Sets the Plotly method to be called on click.
If the `skip` method is used, the API
updatemenu will function as normal but will
perform no API calls and will not bind
automatically to state updates. This may be
used to create a component interface and attach
to updatemenu events manually via JavaScript.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
visible
Determines whether or not this button is
visible.
Returns
-------
tuple[plotly.graph_objs.layout.updatemenu.Button] | buttons | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def buttondefaults(self):
"""
When used in a template (as
layout.template.layout.updatemenu.buttondefaults), sets the
default property values to use for elements of
layout.updatemenu.buttons
The 'buttondefaults' property is an instance of Button
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Button`
- A dict of string/value properties that will be passed
to the Button constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.updatemenu.Button
"""
return self["buttondefaults"] | When used in a template (as
layout.template.layout.updatemenu.buttondefaults), sets the
default property values to use for elements of
layout.updatemenu.buttons
The 'buttondefaults' property is an instance of Button
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Button`
- A dict of string/value properties that will be passed
to the Button constructor
Supported dict properties:
Returns
-------
plotly.graph_objs.layout.updatemenu.Button | buttondefaults | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def direction(self):
"""
Determines the direction in which the buttons are laid out,
whether in a dropdown menu or a row/column of buttons. For
`left` and `up`, the buttons will still appear in left-to-right
or top-to-bottom order respectively.
The 'direction' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'right', 'up', 'down']
Returns
-------
Any
"""
return self["direction"] | Determines the direction in which the buttons are laid out,
whether in a dropdown menu or a row/column of buttons. For
`left` and `up`, the buttons will still appear in left-to-right
or top-to-bottom order respectively.
The 'direction' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'right', 'up', 'down']
Returns
-------
Any | direction | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def font(self):
"""
Sets the font of the update menu button text.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Font`
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans", "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text,
such as an "under", "over" or "through" as well
as combinations e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind
text. "auto" places minimal shadow and applies
contrast text font color. See
https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional
options.
size
style
Sets whether a font should be styled with a
normal or italic face from its family.
textcase
Sets capitalization of text. It can be used to
make text appear in all-uppercase or all-
lowercase, or with each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
plotly.graph_objs.layout.updatemenu.Font
"""
return self["font"] | Sets the font of the update menu button text.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Font`
- A dict of string/value properties that will be passed
to the Font constructor
Supported dict properties:
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans", "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text,
such as an "under", "over" or "through" as well
as combinations e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind
text. "auto" places minimal shadow and applies
contrast text font color. See
https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional
options.
size
style
Sets whether a font should be styled with a
normal or italic face from its family.
textcase
Sets capitalization of text. It can be used to
make text appear in all-uppercase or all-
lowercase, or with each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
plotly.graph_objs.layout.updatemenu.Font | font | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["name"] | When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | name | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def pad(self):
"""
Sets the padding around the buttons or dropdown menu.
The 'pad' property is an instance of Pad
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`
- A dict of string/value properties that will be passed
to the Pad constructor
Supported dict properties:
b
The amount of padding (in px) along the bottom
of the component.
l
The amount of padding (in px) on the left side
of the component.
r
The amount of padding (in px) on the right side
of the component.
t
The amount of padding (in px) along the top of
the component.
Returns
-------
plotly.graph_objs.layout.updatemenu.Pad
"""
return self["pad"] | Sets the padding around the buttons or dropdown menu.
The 'pad' property is an instance of Pad
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.updatemenu.Pad`
- A dict of string/value properties that will be passed
to the Pad constructor
Supported dict properties:
b
The amount of padding (in px) along the bottom
of the component.
l
The amount of padding (in px) on the left side
of the component.
r
The amount of padding (in px) on the right side
of the component.
t
The amount of padding (in px) along the top of
the component.
Returns
-------
plotly.graph_objs.layout.updatemenu.Pad | pad | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def showactive(self):
"""
Highlights active dropdown item or active button if true.
The 'showactive' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showactive"] | Highlights active dropdown item or active button if true.
The 'showactive' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showactive | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["templateitemname"] | Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | templateitemname | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def type(self):
"""
Determines whether the buttons are accessible via a dropdown
menu or whether the buttons are stacked horizontally or
vertically
The 'type' property is an enumeration that may be specified as:
- One of the following enumeration values:
['dropdown', 'buttons']
Returns
-------
Any
"""
return self["type"] | Determines whether the buttons are accessible via a dropdown
menu or whether the buttons are stacked horizontally or
vertically
The 'type' property is an enumeration that may be specified as:
- One of the following enumeration values:
['dropdown', 'buttons']
Returns
-------
Any | type | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def visible(self):
"""
Determines whether or not the update menu is visible.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"] | Determines whether or not the update menu is visible.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool | visible | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def x(self):
"""
Sets the x position (in normalized coordinates) of the update
menu.
The 'x' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
"""
return self["x"] | Sets the x position (in normalized coordinates) of the update
menu.
The 'x' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float | x | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def xanchor(self):
"""
Sets the update menu's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the range selector.
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'left', 'center', 'right']
Returns
-------
Any
"""
return self["xanchor"] | Sets the update menu's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the range selector.
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'left', 'center', 'right']
Returns
-------
Any | xanchor | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def y(self):
"""
Sets the y position (in normalized coordinates) of the update
menu.
The 'y' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float
"""
return self["y"] | Sets the y position (in normalized coordinates) of the update
menu.
The 'y' property is a number and may be specified as:
- An int or float in the interval [-2, 3]
Returns
-------
int|float | y | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def yanchor(self):
"""
Sets the update menu's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the range selector.
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'top', 'middle', 'bottom']
Returns
-------
Any
"""
return self["yanchor"] | Sets the update menu's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the range selector.
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['auto', 'top', 'middle', 'bottom']
Returns
-------
Any | yanchor | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def __init__(
self,
arg=None,
active=None,
bgcolor=None,
bordercolor=None,
borderwidth=None,
buttons=None,
buttondefaults=None,
direction=None,
font=None,
name=None,
pad=None,
showactive=None,
templateitemname=None,
type=None,
visible=None,
x=None,
xanchor=None,
y=None,
yanchor=None,
**kwargs,
):
"""
Construct a new Updatemenu object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.Updatemenu`
active
Determines which button (by index starting from 0) is
considered active.
bgcolor
Sets the background color of the update menu buttons.
bordercolor
Sets the color of the border enclosing the update menu.
borderwidth
Sets the width (in px) of the border enclosing the
update menu.
buttons
A tuple of
:class:`plotly.graph_objects.layout.updatemenu.Button`
instances or dicts with compatible properties
buttondefaults
When used in a template (as
layout.template.layout.updatemenu.buttondefaults), sets
the default property values to use for elements of
layout.updatemenu.buttons
direction
Determines the direction in which the buttons are laid
out, whether in a dropdown menu or a row/column of
buttons. For `left` and `up`, the buttons will still
appear in left-to-right or top-to-bottom order
respectively.
font
Sets the font of the update menu button text.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
pad
Sets the padding around the buttons or dropdown menu.
showactive
Highlights active dropdown item or active button if
true.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
type
Determines whether the buttons are accessible via a
dropdown menu or whether the buttons are stacked
horizontally or vertically
visible
Determines whether or not the update menu is visible.
x
Sets the x position (in normalized coordinates) of the
update menu.
xanchor
Sets the update menu's horizontal position anchor. This
anchor binds the `x` position to the "left", "center"
or "right" of the range selector.
y
Sets the y position (in normalized coordinates) of the
update menu.
yanchor
Sets the update menu's vertical position anchor This
anchor binds the `y` position to the "top", "middle" or
"bottom" of the range selector.
Returns
-------
Updatemenu
"""
super(Updatemenu, self).__init__("updatemenus")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.Updatemenu
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.Updatemenu`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("active", None)
_v = active if active is not None else _v
if _v is not None:
self["active"] = _v
_v = arg.pop("bgcolor", None)
_v = bgcolor if bgcolor is not None else _v
if _v is not None:
self["bgcolor"] = _v
_v = arg.pop("bordercolor", None)
_v = bordercolor if bordercolor is not None else _v
if _v is not None:
self["bordercolor"] = _v
_v = arg.pop("borderwidth", None)
_v = borderwidth if borderwidth is not None else _v
if _v is not None:
self["borderwidth"] = _v
_v = arg.pop("buttons", None)
_v = buttons if buttons is not None else _v
if _v is not None:
self["buttons"] = _v
_v = arg.pop("buttondefaults", None)
_v = buttondefaults if buttondefaults is not None else _v
if _v is not None:
self["buttondefaults"] = _v
_v = arg.pop("direction", None)
_v = direction if direction is not None else _v
if _v is not None:
self["direction"] = _v
_v = arg.pop("font", None)
_v = font if font is not None else _v
if _v is not None:
self["font"] = _v
_v = arg.pop("name", None)
_v = name if name is not None else _v
if _v is not None:
self["name"] = _v
_v = arg.pop("pad", None)
_v = pad if pad is not None else _v
if _v is not None:
self["pad"] = _v
_v = arg.pop("showactive", None)
_v = showactive if showactive is not None else _v
if _v is not None:
self["showactive"] = _v
_v = arg.pop("templateitemname", None)
_v = templateitemname if templateitemname is not None else _v
if _v is not None:
self["templateitemname"] = _v
_v = arg.pop("type", None)
_v = type if type is not None else _v
if _v is not None:
self["type"] = _v
_v = arg.pop("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
_v = arg.pop("x", None)
_v = x if x is not None else _v
if _v is not None:
self["x"] = _v
_v = arg.pop("xanchor", None)
_v = xanchor if xanchor is not None else _v
if _v is not None:
self["xanchor"] = _v
_v = arg.pop("y", None)
_v = y if y is not None else _v
if _v is not None:
self["y"] = _v
_v = arg.pop("yanchor", None)
_v = yanchor if yanchor is not None else _v
if _v is not None:
self["yanchor"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Updatemenu object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.Updatemenu`
active
Determines which button (by index starting from 0) is
considered active.
bgcolor
Sets the background color of the update menu buttons.
bordercolor
Sets the color of the border enclosing the update menu.
borderwidth
Sets the width (in px) of the border enclosing the
update menu.
buttons
A tuple of
:class:`plotly.graph_objects.layout.updatemenu.Button`
instances or dicts with compatible properties
buttondefaults
When used in a template (as
layout.template.layout.updatemenu.buttondefaults), sets
the default property values to use for elements of
layout.updatemenu.buttons
direction
Determines the direction in which the buttons are laid
out, whether in a dropdown menu or a row/column of
buttons. For `left` and `up`, the buttons will still
appear in left-to-right or top-to-bottom order
respectively.
font
Sets the font of the update menu button text.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
pad
Sets the padding around the buttons or dropdown menu.
showactive
Highlights active dropdown item or active button if
true.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
type
Determines whether the buttons are accessible via a
dropdown menu or whether the buttons are stacked
horizontally or vertically
visible
Determines whether or not the update menu is visible.
x
Sets the x position (in normalized coordinates) of the
update menu.
xanchor
Sets the update menu's horizontal position anchor. This
anchor binds the `x` position to the "left", "center"
or "right" of the range selector.
y
Sets the y position (in normalized coordinates) of the
update menu.
yanchor
Sets the update menu's vertical position anchor This
anchor binds the `y` position to the "top", "middle" or
"bottom" of the range selector.
Returns
-------
Updatemenu | __init__ | python | plotly/plotly.py | plotly/graph_objs/layout/_updatemenu.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_updatemenu.py | MIT |
def marker(self):
"""
The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.selected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of selected points.
opacity
Sets the marker opacity of selected points.
Returns
-------
plotly.graph_objs.histogram.selected.Marker
"""
return self["marker"] | The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.selected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of selected points.
opacity
Sets the marker opacity of selected points.
Returns
-------
plotly.graph_objs.histogram.selected.Marker | marker | python | plotly/plotly.py | plotly/graph_objs/histogram/_selected.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_selected.py | MIT |
def textfont(self):
"""
The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.selected.Textfont`
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict properties:
color
Sets the text font color of selected points.
Returns
-------
plotly.graph_objs.histogram.selected.Textfont
"""
return self["textfont"] | The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.selected.Textfont`
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict properties:
color
Sets the text font color of selected points.
Returns
-------
plotly.graph_objs.histogram.selected.Textfont | textfont | python | plotly/plotly.py | plotly/graph_objs/histogram/_selected.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_selected.py | MIT |
def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
"""
Construct a new Selected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.histogram.Selected`
marker
:class:`plotly.graph_objects.histogram.selected.Marker`
instance or dict with compatible properties
textfont
:class:`plotly.graph_objects.histogram.selected.Textfon
t` instance or dict with compatible properties
Returns
-------
Selected
"""
super(Selected, self).__init__("selected")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.histogram.Selected
constructor must be a dict or
an instance of :class:`plotly.graph_objs.histogram.Selected`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("marker", None)
_v = marker if marker is not None else _v
if _v is not None:
self["marker"] = _v
_v = arg.pop("textfont", None)
_v = textfont if textfont is not None else _v
if _v is not None:
self["textfont"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Selected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.histogram.Selected`
marker
:class:`plotly.graph_objects.histogram.selected.Marker`
instance or dict with compatible properties
textfont
:class:`plotly.graph_objects.histogram.selected.Textfon
t` instance or dict with compatible properties
Returns
-------
Selected | __init__ | python | plotly/plotly.py | plotly/graph_objs/histogram/_selected.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_selected.py | MIT |
def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["color"] | The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str | color | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def family(self):
"""
HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts if they aren't available on
the system. The Chart Studio Cloud (at https://chart-
studio.plotly.com or on-premise) generates images on a server,
where only a select number of fonts are installed and
supported. These include "Arial", "Balto", "Courier New",
"Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One",
"Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow",
"Raleway", "Times New Roman".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["family"] | HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts if they aren't available on
the system. The Chart Studio Cloud (at https://chart-
studio.plotly.com or on-premise) generates images on a server,
where only a select number of fonts are installed and
supported. These include "Arial", "Balto", "Courier New",
"Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One",
"Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow",
"Raleway", "Times New Roman".
The 'family' property is a string and must be specified as:
- A non-empty string
Returns
-------
str | family | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def lineposition(self):
"""
Sets the kind of decoration line(s) with text, such as an
"under", "over" or "through" as well as combinations e.g.
"under+over", etc.
The 'lineposition' property is a flaglist and may be specified
as a string containing:
- Any combination of ['under', 'over', 'through'] joined with '+' characters
(e.g. 'under+over')
OR exactly one of ['none'] (e.g. 'none')
Returns
-------
Any
"""
return self["lineposition"] | Sets the kind of decoration line(s) with text, such as an
"under", "over" or "through" as well as combinations e.g.
"under+over", etc.
The 'lineposition' property is a flaglist and may be specified
as a string containing:
- Any combination of ['under', 'over', 'through'] joined with '+' characters
(e.g. 'under+over')
OR exactly one of ['none'] (e.g. 'none')
Returns
-------
Any | lineposition | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def shadow(self):
"""
Sets the shape and color of the shadow behind text. "auto"
places minimal shadow and applies contrast text font color. See
https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow
for additional options.
The 'shadow' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["shadow"] | Sets the shape and color of the shadow behind text. "auto"
places minimal shadow and applies contrast text font color. See
https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow
for additional options.
The 'shadow' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | shadow | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
"""
return self["size"] | The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float | size | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def style(self):
"""
Sets whether a font should be styled with a normal or italic
face from its family.
The 'style' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'italic']
Returns
-------
Any
"""
return self["style"] | Sets whether a font should be styled with a normal or italic
face from its family.
The 'style' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'italic']
Returns
-------
Any | style | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def textcase(self):
"""
Sets capitalization of text. It can be used to make text appear
in all-uppercase or all-lowercase, or with each word
capitalized.
The 'textcase' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'word caps', 'upper', 'lower']
Returns
-------
Any
"""
return self["textcase"] | Sets capitalization of text. It can be used to make text appear
in all-uppercase or all-lowercase, or with each word
capitalized.
The 'textcase' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'word caps', 'upper', 'lower']
Returns
-------
Any | textcase | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def variant(self):
"""
Sets the variant of the font.
The 'variant' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'small-caps', 'all-small-caps',
'all-petite-caps', 'petite-caps', 'unicase']
Returns
-------
Any
"""
return self["variant"] | Sets the variant of the font.
The 'variant' property is an enumeration that may be specified as:
- One of the following enumeration values:
['normal', 'small-caps', 'all-small-caps',
'all-petite-caps', 'petite-caps', 'unicase']
Returns
-------
Any | variant | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def weight(self):
"""
Sets the weight (or boldness) of the font.
The 'weight' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [1, 1000]
OR exactly one of ['normal', 'bold'] (e.g. 'bold')
Returns
-------
int
"""
return self["weight"] | Sets the weight (or boldness) of the font.
The 'weight' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [1, 1000]
OR exactly one of ['normal', 'bold'] (e.g. 'bold')
Returns
-------
int | weight | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def __init__(
self,
arg=None,
color=None,
family=None,
lineposition=None,
shadow=None,
size=None,
style=None,
textcase=None,
variant=None,
weight=None,
**kwargs,
):
"""
Construct a new Tickfont object
Sets the color bar's tick label font
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.surface.colorbar.Tickfont`
color
family
HTML font family - the typeface that will be applied by
the web browser. The web browser will only be able to
apply a font if it is available on the system which it
operates. Provide multiple font families, separated by
commas, to indicate the preference in which to apply
fonts if they aren't available on the system. The Chart
Studio Cloud (at https://chart-studio.plotly.com or on-
premise) generates images on a server, where only a
select number of fonts are installed and supported.
These include "Arial", "Balto", "Courier New", "Droid
Sans", "Droid Serif", "Droid Sans Mono", "Gravitas
One", "Old Standard TT", "Open Sans", "Overpass", "PT
Sans Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text, such as
an "under", "over" or "through" as well as combinations
e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind text.
"auto" places minimal shadow and applies contrast text
font color. See https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional options.
size
style
Sets whether a font should be styled with a normal or
italic face from its family.
textcase
Sets capitalization of text. It can be used to make
text appear in all-uppercase or all-lowercase, or with
each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
Tickfont
"""
super(Tickfont, self).__init__("tickfont")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.surface.colorbar.Tickfont
constructor must be a dict or
an instance of :class:`plotly.graph_objs.surface.colorbar.Tickfont`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("color", None)
_v = color if color is not None else _v
if _v is not None:
self["color"] = _v
_v = arg.pop("family", None)
_v = family if family is not None else _v
if _v is not None:
self["family"] = _v
_v = arg.pop("lineposition", None)
_v = lineposition if lineposition is not None else _v
if _v is not None:
self["lineposition"] = _v
_v = arg.pop("shadow", None)
_v = shadow if shadow is not None else _v
if _v is not None:
self["shadow"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
_v = arg.pop("style", None)
_v = style if style is not None else _v
if _v is not None:
self["style"] = _v
_v = arg.pop("textcase", None)
_v = textcase if textcase is not None else _v
if _v is not None:
self["textcase"] = _v
_v = arg.pop("variant", None)
_v = variant if variant is not None else _v
if _v is not None:
self["variant"] = _v
_v = arg.pop("weight", None)
_v = weight if weight is not None else _v
if _v is not None:
self["weight"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Tickfont object
Sets the color bar's tick label font
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.surface.colorbar.Tickfont`
color
family
HTML font family - the typeface that will be applied by
the web browser. The web browser will only be able to
apply a font if it is available on the system which it
operates. Provide multiple font families, separated by
commas, to indicate the preference in which to apply
fonts if they aren't available on the system. The Chart
Studio Cloud (at https://chart-studio.plotly.com or on-
premise) generates images on a server, where only a
select number of fonts are installed and supported.
These include "Arial", "Balto", "Courier New", "Droid
Sans", "Droid Serif", "Droid Sans Mono", "Gravitas
One", "Old Standard TT", "Open Sans", "Overpass", "PT
Sans Narrow", "Raleway", "Times New Roman".
lineposition
Sets the kind of decoration line(s) with text, such as
an "under", "over" or "through" as well as combinations
e.g. "under+over", etc.
shadow
Sets the shape and color of the shadow behind text.
"auto" places minimal shadow and applies contrast text
font color. See https://developer.mozilla.org/en-
US/docs/Web/CSS/text-shadow for additional options.
size
style
Sets whether a font should be styled with a normal or
italic face from its family.
textcase
Sets capitalization of text. It can be used to make
text appear in all-uppercase or all-lowercase, or with
each word capitalized.
variant
Sets the variant of the font.
weight
Sets the weight (or boldness) of the font.
Returns
-------
Tickfont | __init__ | python | plotly/plotly.py | plotly/graph_objs/surface/colorbar/_tickfont.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/surface/colorbar/_tickfont.py | MIT |
def bgcolor(self):
"""
When there is no colorscale sets the color of background
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "overlay". Otherwise, defaults to a transparent
background.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray
"""
return self["bgcolor"] | When there is no colorscale sets the color of background
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "overlay". Otherwise, defaults to a transparent
background.
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray | bgcolor | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def bgcolorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `bgcolor`.
The 'bgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["bgcolorsrc"] | Sets the source reference on Chart Studio Cloud for `bgcolor`.
The 'bgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | bgcolorsrc | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def fgcolor(self):
"""
When there is no colorscale sets the color of foreground
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "replace". Otherwise, defaults to dark grey or
white to increase contrast with the `bgcolor`.
The 'fgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray
"""
return self["fgcolor"] | When there is no colorscale sets the color of foreground
pattern fill. Defaults to a `marker.color` background when
`fillmode` is "replace". Otherwise, defaults to dark grey or
white to increase contrast with the `bgcolor`.
The 'fgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A list or array of any of the above
Returns
-------
str|numpy.ndarray | fgcolor | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def fgcolorsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `fgcolor`.
The 'fgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["fgcolorsrc"] | Sets the source reference on Chart Studio Cloud for `fgcolor`.
The 'fgcolorsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | fgcolorsrc | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def fgopacity(self):
"""
Sets the opacity of the foreground pattern fill. Defaults to a
0.5 when `fillmode` is "overlay". Otherwise, defaults to 1.
The 'fgopacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["fgopacity"] | Sets the opacity of the foreground pattern fill. Defaults to a
0.5 when `fillmode` is "overlay". Otherwise, defaults to 1.
The 'fgopacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float | fgopacity | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def fillmode(self):
"""
Determines whether `marker.color` should be used as a default
to `bgcolor` or a `fgcolor`.
The 'fillmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['replace', 'overlay']
Returns
-------
Any
"""
return self["fillmode"] | Determines whether `marker.color` should be used as a default
to `bgcolor` or a `fgcolor`.
The 'fillmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['replace', 'overlay']
Returns
-------
Any | fillmode | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def shape(self):
"""
Sets the shape of the pattern fill. By default, no pattern is
used for filling the area.
The 'shape' property is an enumeration that may be specified as:
- One of the following enumeration values:
['', '/', '\\', 'x', '-', '|', '+', '.']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["shape"] | Sets the shape of the pattern fill. By default, no pattern is
used for filling the area.
The 'shape' property is an enumeration that may be specified as:
- One of the following enumeration values:
['', '/', '\\', 'x', '-', '|', '+', '.']
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
Any|numpy.ndarray | shape | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def shapesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `shape`.
The 'shapesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["shapesrc"] | Sets the source reference on Chart Studio Cloud for `shape`.
The 'shapesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | shapesrc | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def size(self):
"""
Sets the size of unit squares of the pattern fill in pixels,
which corresponds to the interval of repetition of the pattern.
The 'size' property is a number and may be specified as:
- An int or float in the interval [0, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self["size"] | Sets the size of unit squares of the pattern fill in pixels,
which corresponds to the interval of repetition of the pattern.
The 'size' property is a number and may be specified as:
- An int or float in the interval [0, inf]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | size | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def sizesrc(self):
"""
Sets the source reference on Chart Studio Cloud for `size`.
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["sizesrc"] | Sets the source reference on Chart Studio Cloud for `size`.
The 'sizesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | sizesrc | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def solidity(self):
"""
Sets the solidity of the pattern fill. Solidity is roughly the
fraction of the area filled by the pattern. Solidity of 0 shows
only the background color without pattern and solidty of 1
shows only the foreground color without pattern.
The 'solidity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray
"""
return self["solidity"] | Sets the solidity of the pattern fill. Solidity is roughly the
fraction of the area filled by the pattern. Solidity of 0 shows
only the background color without pattern and solidty of 1
shows only the foreground color without pattern.
The 'solidity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
int|float|numpy.ndarray | solidity | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def soliditysrc(self):
"""
Sets the source reference on Chart Studio Cloud for `solidity`.
The 'soliditysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["soliditysrc"] | Sets the source reference on Chart Studio Cloud for `solidity`.
The 'soliditysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | soliditysrc | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def __init__(
self,
arg=None,
bgcolor=None,
bgcolorsrc=None,
fgcolor=None,
fgcolorsrc=None,
fgopacity=None,
fillmode=None,
shape=None,
shapesrc=None,
size=None,
sizesrc=None,
solidity=None,
soliditysrc=None,
**kwargs,
):
"""
Construct a new Pattern object
Sets the pattern within the marker.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.funnelarea.marker.Pattern`
bgcolor
When there is no colorscale sets the color of
background pattern fill. Defaults to a `marker.color`
background when `fillmode` is "overlay". Otherwise,
defaults to a transparent background.
bgcolorsrc
Sets the source reference on Chart Studio Cloud for
`bgcolor`.
fgcolor
When there is no colorscale sets the color of
foreground pattern fill. Defaults to a `marker.color`
background when `fillmode` is "replace". Otherwise,
defaults to dark grey or white to increase contrast
with the `bgcolor`.
fgcolorsrc
Sets the source reference on Chart Studio Cloud for
`fgcolor`.
fgopacity
Sets the opacity of the foreground pattern fill.
Defaults to a 0.5 when `fillmode` is "overlay".
Otherwise, defaults to 1.
fillmode
Determines whether `marker.color` should be used as a
default to `bgcolor` or a `fgcolor`.
shape
Sets the shape of the pattern fill. By default, no
pattern is used for filling the area.
shapesrc
Sets the source reference on Chart Studio Cloud for
`shape`.
size
Sets the size of unit squares of the pattern fill in
pixels, which corresponds to the interval of repetition
of the pattern.
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
solidity
Sets the solidity of the pattern fill. Solidity is
roughly the fraction of the area filled by the pattern.
Solidity of 0 shows only the background color without
pattern and solidty of 1 shows only the foreground
color without pattern.
soliditysrc
Sets the source reference on Chart Studio Cloud for
`solidity`.
Returns
-------
Pattern
"""
super(Pattern, self).__init__("pattern")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.funnelarea.marker.Pattern
constructor must be a dict or
an instance of :class:`plotly.graph_objs.funnelarea.marker.Pattern`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("bgcolor", None)
_v = bgcolor if bgcolor is not None else _v
if _v is not None:
self["bgcolor"] = _v
_v = arg.pop("bgcolorsrc", None)
_v = bgcolorsrc if bgcolorsrc is not None else _v
if _v is not None:
self["bgcolorsrc"] = _v
_v = arg.pop("fgcolor", None)
_v = fgcolor if fgcolor is not None else _v
if _v is not None:
self["fgcolor"] = _v
_v = arg.pop("fgcolorsrc", None)
_v = fgcolorsrc if fgcolorsrc is not None else _v
if _v is not None:
self["fgcolorsrc"] = _v
_v = arg.pop("fgopacity", None)
_v = fgopacity if fgopacity is not None else _v
if _v is not None:
self["fgopacity"] = _v
_v = arg.pop("fillmode", None)
_v = fillmode if fillmode is not None else _v
if _v is not None:
self["fillmode"] = _v
_v = arg.pop("shape", None)
_v = shape if shape is not None else _v
if _v is not None:
self["shape"] = _v
_v = arg.pop("shapesrc", None)
_v = shapesrc if shapesrc is not None else _v
if _v is not None:
self["shapesrc"] = _v
_v = arg.pop("size", None)
_v = size if size is not None else _v
if _v is not None:
self["size"] = _v
_v = arg.pop("sizesrc", None)
_v = sizesrc if sizesrc is not None else _v
if _v is not None:
self["sizesrc"] = _v
_v = arg.pop("solidity", None)
_v = solidity if solidity is not None else _v
if _v is not None:
self["solidity"] = _v
_v = arg.pop("soliditysrc", None)
_v = soliditysrc if soliditysrc is not None else _v
if _v is not None:
self["soliditysrc"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Pattern object
Sets the pattern within the marker.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.funnelarea.marker.Pattern`
bgcolor
When there is no colorscale sets the color of
background pattern fill. Defaults to a `marker.color`
background when `fillmode` is "overlay". Otherwise,
defaults to a transparent background.
bgcolorsrc
Sets the source reference on Chart Studio Cloud for
`bgcolor`.
fgcolor
When there is no colorscale sets the color of
foreground pattern fill. Defaults to a `marker.color`
background when `fillmode` is "replace". Otherwise,
defaults to dark grey or white to increase contrast
with the `bgcolor`.
fgcolorsrc
Sets the source reference on Chart Studio Cloud for
`fgcolor`.
fgopacity
Sets the opacity of the foreground pattern fill.
Defaults to a 0.5 when `fillmode` is "overlay".
Otherwise, defaults to 1.
fillmode
Determines whether `marker.color` should be used as a
default to `bgcolor` or a `fgcolor`.
shape
Sets the shape of the pattern fill. By default, no
pattern is used for filling the area.
shapesrc
Sets the source reference on Chart Studio Cloud for
`shape`.
size
Sets the size of unit squares of the pattern fill in
pixels, which corresponds to the interval of repetition
of the pattern.
sizesrc
Sets the source reference on Chart Studio Cloud for
`size`.
solidity
Sets the solidity of the pattern fill. Solidity is
roughly the fraction of the area filled by the pattern.
Solidity of 0 shows only the background color without
pattern and solidty of 1 shows only the foreground
color without pattern.
soliditysrc
Sets the source reference on Chart Studio Cloud for
`solidity`.
Returns
-------
Pattern | __init__ | python | plotly/plotly.py | plotly/graph_objs/funnelarea/marker/_pattern.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnelarea/marker/_pattern.py | MIT |
def dtickrange(self):
"""
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'dtickrange[0]' property accepts values of any type
(1) The 'dtickrange[1]' property accepts values of any type
Returns
-------
list
"""
return self["dtickrange"] | range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'dtickrange[0]' property accepts values of any type
(1) The 'dtickrange[1]' property accepts values of any type
Returns
-------
list | dtickrange | python | plotly/plotly.py | plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | MIT |
def enabled(self):
"""
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["enabled"] | Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool | enabled | python | plotly/plotly.py | plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | MIT |
def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["name"] | When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications (including `visible: false`
or `enabled: false` to hide it). Has no effect outside of a
template.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | name | python | plotly/plotly.py | plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | MIT |
def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["templateitemname"] | Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (including `visible: false` or
`enabled: false` to hide it). If there is no template or no
matching item, this item will be hidden unless you explicitly
show it with `visible: true`.
The 'templateitemname' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | templateitemname | python | plotly/plotly.py | plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | MIT |
def value(self):
"""
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["value"] | string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | value | python | plotly/plotly.py | plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py | MIT |
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