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def ticksuffix(self):
"""
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["ticksuffix"] | Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str | ticksuffix | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def ticktext(self):
"""
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["ticktext"] | Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray | ticktext | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for `ticktext`.
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"] | Sets the source reference on Chart Studio Cloud for `ticktext`.
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | ticktextsrc | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def tickvals(self):
"""
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["tickvals"] | Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray | tickvals | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def tickvalssrc(self):
"""
Sets the source reference on Chart Studio Cloud for `tickvals`.
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["tickvalssrc"] | Sets the source reference on Chart Studio Cloud for `tickvals`.
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | tickvalssrc | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def tickwidth(self):
"""
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["tickwidth"] | Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | tickwidth | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def title(self):
"""
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.choroplethmap.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
font
Sets this color bar's title font.
side
Determines the location of color bar's title
with respect to the color bar. Defaults to
"top" when `orientation` if "v" and defaults
to "right" when `orientation` if "h".
text
Sets the title of the color bar.
Returns
-------
plotly.graph_objs.choroplethmap.colorbar.Title
"""
return self["title"] | The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.choroplethmap.colorbar.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
font
Sets this color bar's title font.
side
Determines the location of color bar's title
with respect to the color bar. Defaults to
"top" when `orientation` if "v" and defaults
to "right" when `orientation` if "h".
text
Sets the title of the color bar.
Returns
-------
plotly.graph_objs.choroplethmap.colorbar.Title | title | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def x(self):
"""
Sets the x position with respect to `xref` of the color bar (in
plot fraction). When `xref` is "paper", defaults to 1.02 when
`orientation` is "v" and 0.5 when `orientation` is "h". When
`xref` is "container", defaults to 1 when `orientation` is "v"
and 0.5 when `orientation` is "h". Must be between 0 and 1 if
`xref` is "container" and between "-2" and 3 if `xref` is
"paper".
The 'x' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["x"] | Sets the x position with respect to `xref` of the color bar (in
plot fraction). When `xref` is "paper", defaults to 1.02 when
`orientation` is "v" and 0.5 when `orientation` is "h". When
`xref` is "container", defaults to 1 when `orientation` is "v"
and 0.5 when `orientation` is "h". Must be between 0 and 1 if
`xref` is "container" and between "-2" and 3 if `xref` is
"paper".
The 'x' property is a number and may be specified as:
- An int or float
Returns
-------
int|float | x | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def xanchor(self):
"""
Sets this color bar's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the color bar. Defaults to "left" when `orientation` is "v" and
"center" when `orientation` is "h".
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'center', 'right']
Returns
-------
Any
"""
return self["xanchor"] | Sets this color bar's horizontal position anchor. This anchor
binds the `x` position to the "left", "center" or "right" of
the color bar. Defaults to "left" when `orientation` is "v" and
"center" when `orientation` is "h".
The 'xanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['left', 'center', 'right']
Returns
-------
Any | xanchor | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def xpad(self):
"""
Sets the amount of padding (in px) along the x direction.
The 'xpad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["xpad"] | Sets the amount of padding (in px) along the x direction.
The 'xpad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | xpad | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def xref(self):
"""
Sets the container `x` refers to. "container" spans the entire
`width` of the plot. "paper" refers to the width of the
plotting area only.
The 'xref' property is an enumeration that may be specified as:
- One of the following enumeration values:
['container', 'paper']
Returns
-------
Any
"""
return self["xref"] | Sets the container `x` refers to. "container" spans the entire
`width` of the plot. "paper" refers to the width of the
plotting area only.
The 'xref' property is an enumeration that may be specified as:
- One of the following enumeration values:
['container', 'paper']
Returns
-------
Any | xref | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def y(self):
"""
Sets the y position with respect to `yref` of the color bar (in
plot fraction). When `yref` is "paper", defaults to 0.5 when
`orientation` is "v" and 1.02 when `orientation` is "h". When
`yref` is "container", defaults to 0.5 when `orientation` is
"v" and 1 when `orientation` is "h". Must be between 0 and 1 if
`yref` is "container" and between "-2" and 3 if `yref` is
"paper".
The 'y' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["y"] | Sets the y position with respect to `yref` of the color bar (in
plot fraction). When `yref` is "paper", defaults to 0.5 when
`orientation` is "v" and 1.02 when `orientation` is "h". When
`yref` is "container", defaults to 0.5 when `orientation` is
"v" and 1 when `orientation` is "h". Must be between 0 and 1 if
`yref` is "container" and between "-2" and 3 if `yref` is
"paper".
The 'y' property is a number and may be specified as:
- An int or float
Returns
-------
int|float | y | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def yanchor(self):
"""
Sets this color bar's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the color bar. Defaults to "middle" when `orientation` is "v"
and "bottom" when `orientation` is "h".
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'middle', 'bottom']
Returns
-------
Any
"""
return self["yanchor"] | Sets this color bar's vertical position anchor This anchor
binds the `y` position to the "top", "middle" or "bottom" of
the color bar. Defaults to "middle" when `orientation` is "v"
and "bottom" when `orientation` is "h".
The 'yanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['top', 'middle', 'bottom']
Returns
-------
Any | yanchor | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def ypad(self):
"""
Sets the amount of padding (in px) along the y direction.
The 'ypad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["ypad"] | Sets the amount of padding (in px) along the y direction.
The 'ypad' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | ypad | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def yref(self):
"""
Sets the container `y` refers to. "container" spans the entire
`height` of the plot. "paper" refers to the height of the
plotting area only.
The 'yref' property is an enumeration that may be specified as:
- One of the following enumeration values:
['container', 'paper']
Returns
-------
Any
"""
return self["yref"] | Sets the container `y` refers to. "container" spans the entire
`height` of the plot. "paper" refers to the height of the
plotting area only.
The 'yref' property is an enumeration that may be specified as:
- One of the following enumeration values:
['container', 'paper']
Returns
-------
Any | yref | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.py | MIT |
def __init__(
self,
arg=None,
bgcolor=None,
bordercolor=None,
borderwidth=None,
dtick=None,
exponentformat=None,
labelalias=None,
len=None,
lenmode=None,
minexponent=None,
nticks=None,
orientation=None,
outlinecolor=None,
outlinewidth=None,
separatethousands=None,
showexponent=None,
showticklabels=None,
showtickprefix=None,
showticksuffix=None,
thickness=None,
thicknessmode=None,
tick0=None,
tickangle=None,
tickcolor=None,
tickfont=None,
tickformat=None,
tickformatstops=None,
tickformatstopdefaults=None,
ticklabeloverflow=None,
ticklabelposition=None,
ticklabelstep=None,
ticklen=None,
tickmode=None,
tickprefix=None,
ticks=None,
ticksuffix=None,
ticktext=None,
ticktextsrc=None,
tickvals=None,
tickvalssrc=None,
tickwidth=None,
title=None,
x=None,
xanchor=None,
xpad=None,
xref=None,
y=None,
yanchor=None,
ypad=None,
yref=None,
**kwargs,
):
"""
Construct a new ColorBar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.choroplethmap.ColorBar`
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing this
color bar.
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.
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.
len
Sets the length of the color bar This measure excludes
the padding of both ends. That is, the color bar length
is this length minus the padding on both ends.
lenmode
Determines whether this color bar's length (i.e. the
measure in the color variation direction) is set in
units of plot "fraction" or in *pixels. Use `len` to
set the value.
minexponent
Hide SI prefix for 10^n if |n| is below this number.
This only has an effect when `tickformat` is "SI" or
"B".
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".
orientation
Sets the orientation of the colorbar.
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
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.
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.
thickness
Sets the thickness of the color bar This measure
excludes the size of the padding, ticks and labels.
thicknessmode
Determines whether this color bar's thickness (i.e. the
measure in the constant color direction) is set in
units of plot "fraction" or in "pixels". Use
`thickness` to set the value.
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 color bar's tick label font
tickformat
Sets the tick label formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://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.choroplethmap.c
olorbar.Tickformatstop` instances or dicts with
compatible properties
tickformatstopdefaults
When used in a template (as layout.template.data.chorop
lethmap.colorbar.tickformatstopdefaults), sets the
default property values to use for elements of
choroplethmap.colorbar.tickformatstops
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of the
axis. The default value for inside tick labels is *hide
past domain*. In other cases the default is *hide past
div*.
ticklabelposition
Determines where tick labels are drawn relative to the
ticks. Left and right options are used when
`orientation` is "h", top and bottom when `orientation`
is "v".
ticklabelstep
Sets the spacing between tick labels as compared to the
spacing between ticks. A value of 1 (default) means
each tick gets a label. A value of 2 means shows every
2nd label. A larger value n means only every nth tick
is labeled. `tick0` determines which labels are shown.
Not implemented for axes with `type` "log" or
"multicategory", or when `tickmode` is "array".
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.choroplethmap.colorbar.Tit
le` instance or dict with compatible properties
x
Sets the x position with respect to `xref` of the color
bar (in plot fraction). When `xref` is "paper",
defaults to 1.02 when `orientation` is "v" and 0.5 when
`orientation` is "h". When `xref` is "container",
defaults to 1 when `orientation` is "v" and 0.5 when
`orientation` is "h". Must be between 0 and 1 if `xref`
is "container" and between "-2" and 3 if `xref` is
"paper".
xanchor
Sets this color bar's horizontal position anchor. This
anchor binds the `x` position to the "left", "center"
or "right" of the color bar. Defaults to "left" when
`orientation` is "v" and "center" when `orientation` is
"h".
xpad
Sets the amount of padding (in px) along the x
direction.
xref
Sets the container `x` refers to. "container" spans the
entire `width` of the plot. "paper" refers to the width
of the plotting area only.
y
Sets the y position with respect to `yref` of the color
bar (in plot fraction). When `yref` is "paper",
defaults to 0.5 when `orientation` is "v" and 1.02 when
`orientation` is "h". When `yref` is "container",
defaults to 0.5 when `orientation` is "v" and 1 when
`orientation` is "h". Must be between 0 and 1 if `yref`
is "container" and between "-2" and 3 if `yref` is
"paper".
yanchor
Sets this color bar's vertical position anchor This
anchor binds the `y` position to the "top", "middle" or
"bottom" of the color bar. Defaults to "middle" when
`orientation` is "v" and "bottom" when `orientation` is
"h".
ypad
Sets the amount of padding (in px) along the y
direction.
yref
Sets the container `y` refers to. "container" spans the
entire `height` of the plot. "paper" refers to the
height of the plotting area only.
Returns
-------
ColorBar
"""
super(ColorBar, self).__init__("colorbar")
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.choroplethmap.ColorBar
constructor must be a dict or
an instance of :class:`plotly.graph_objs.choroplethmap.ColorBar`"""
)
# 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("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("dtick", None)
_v = dtick if dtick is not None else _v
if _v is not None:
self["dtick"] = _v
_v = arg.pop("exponentformat", None)
_v = exponentformat if exponentformat is not None else _v
if _v is not None:
self["exponentformat"] = _v
_v = arg.pop("labelalias", None)
_v = labelalias if labelalias is not None else _v
if _v is not None:
self["labelalias"] = _v
_v = arg.pop("len", None)
_v = len if len is not None else _v
if _v is not None:
self["len"] = _v
_v = arg.pop("lenmode", None)
_v = lenmode if lenmode is not None else _v
if _v is not None:
self["lenmode"] = _v
_v = arg.pop("minexponent", None)
_v = minexponent if minexponent is not None else _v
if _v is not None:
self["minexponent"] = _v
_v = arg.pop("nticks", None)
_v = nticks if nticks is not None else _v
if _v is not None:
self["nticks"] = _v
_v = arg.pop("orientation", None)
_v = orientation if orientation is not None else _v
if _v is not None:
self["orientation"] = _v
_v = arg.pop("outlinecolor", None)
_v = outlinecolor if outlinecolor is not None else _v
if _v is not None:
self["outlinecolor"] = _v
_v = arg.pop("outlinewidth", None)
_v = outlinewidth if outlinewidth is not None else _v
if _v is not None:
self["outlinewidth"] = _v
_v = arg.pop("separatethousands", None)
_v = separatethousands if separatethousands is not None else _v
if _v is not None:
self["separatethousands"] = _v
_v = arg.pop("showexponent", None)
_v = showexponent if showexponent is not None else _v
if _v is not None:
self["showexponent"] = _v
_v = arg.pop("showticklabels", None)
_v = showticklabels if showticklabels is not None else _v
if _v is not None:
self["showticklabels"] = _v
_v = arg.pop("showtickprefix", None)
_v = showtickprefix if showtickprefix is not None else _v
if _v is not None:
self["showtickprefix"] = _v
_v = arg.pop("showticksuffix", None)
_v = showticksuffix if showticksuffix is not None else _v
if _v is not None:
self["showticksuffix"] = _v
_v = arg.pop("thickness", None)
_v = thickness if thickness is not None else _v
if _v is not None:
self["thickness"] = _v
_v = arg.pop("thicknessmode", None)
_v = thicknessmode if thicknessmode is not None else _v
if _v is not None:
self["thicknessmode"] = _v
_v = arg.pop("tick0", None)
_v = tick0 if tick0 is not None else _v
if _v is not None:
self["tick0"] = _v
_v = arg.pop("tickangle", None)
_v = tickangle if tickangle is not None else _v
if _v is not None:
self["tickangle"] = _v
_v = arg.pop("tickcolor", None)
_v = tickcolor if tickcolor is not None else _v
if _v is not None:
self["tickcolor"] = _v
_v = arg.pop("tickfont", None)
_v = tickfont if tickfont is not None else _v
if _v is not None:
self["tickfont"] = _v
_v = arg.pop("tickformat", None)
_v = tickformat if tickformat is not None else _v
if _v is not None:
self["tickformat"] = _v
_v = arg.pop("tickformatstops", None)
_v = tickformatstops if tickformatstops is not None else _v
if _v is not None:
self["tickformatstops"] = _v
_v = arg.pop("tickformatstopdefaults", None)
_v = tickformatstopdefaults if tickformatstopdefaults is not None else _v
if _v is not None:
self["tickformatstopdefaults"] = _v
_v = arg.pop("ticklabeloverflow", None)
_v = ticklabeloverflow if ticklabeloverflow is not None else _v
if _v is not None:
self["ticklabeloverflow"] = _v
_v = arg.pop("ticklabelposition", None)
_v = ticklabelposition if ticklabelposition is not None else _v
if _v is not None:
self["ticklabelposition"] = _v
_v = arg.pop("ticklabelstep", None)
_v = ticklabelstep if ticklabelstep is not None else _v
if _v is not None:
self["ticklabelstep"] = _v
_v = arg.pop("ticklen", None)
_v = ticklen if ticklen is not None else _v
if _v is not None:
self["ticklen"] = _v
_v = arg.pop("tickmode", None)
_v = tickmode if tickmode is not None else _v
if _v is not None:
self["tickmode"] = _v
_v = arg.pop("tickprefix", None)
_v = tickprefix if tickprefix is not None else _v
if _v is not None:
self["tickprefix"] = _v
_v = arg.pop("ticks", None)
_v = ticks if ticks is not None else _v
if _v is not None:
self["ticks"] = _v
_v = arg.pop("ticksuffix", None)
_v = ticksuffix if ticksuffix is not None else _v
if _v is not None:
self["ticksuffix"] = _v
_v = arg.pop("ticktext", None)
_v = ticktext if ticktext is not None else _v
if _v is not None:
self["ticktext"] = _v
_v = arg.pop("ticktextsrc", None)
_v = ticktextsrc if ticktextsrc is not None else _v
if _v is not None:
self["ticktextsrc"] = _v
_v = arg.pop("tickvals", None)
_v = tickvals if tickvals is not None else _v
if _v is not None:
self["tickvals"] = _v
_v = arg.pop("tickvalssrc", None)
_v = tickvalssrc if tickvalssrc is not None else _v
if _v is not None:
self["tickvalssrc"] = _v
_v = arg.pop("tickwidth", None)
_v = tickwidth if tickwidth is not None else _v
if _v is not None:
self["tickwidth"] = _v
_v = arg.pop("title", None)
_v = title if title is not None else _v
if _v is not None:
self["title"] = _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("xpad", None)
_v = xpad if xpad is not None else _v
if _v is not None:
self["xpad"] = _v
_v = arg.pop("xref", None)
_v = xref if xref is not None else _v
if _v is not None:
self["xref"] = _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
_v = arg.pop("ypad", None)
_v = ypad if ypad is not None else _v
if _v is not None:
self["ypad"] = _v
_v = arg.pop("yref", None)
_v = yref if yref is not None else _v
if _v is not None:
self["yref"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new ColorBar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.choroplethmap.ColorBar`
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing this
color bar.
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.
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.
len
Sets the length of the color bar This measure excludes
the padding of both ends. That is, the color bar length
is this length minus the padding on both ends.
lenmode
Determines whether this color bar's length (i.e. the
measure in the color variation direction) is set in
units of plot "fraction" or in *pixels. Use `len` to
set the value.
minexponent
Hide SI prefix for 10^n if |n| is below this number.
This only has an effect when `tickformat` is "SI" or
"B".
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".
orientation
Sets the orientation of the colorbar.
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
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.
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.
thickness
Sets the thickness of the color bar This measure
excludes the size of the padding, ticks and labels.
thicknessmode
Determines whether this color bar's thickness (i.e. the
measure in the constant color direction) is set in
units of plot "fraction" or in "pixels". Use
`thickness` to set the value.
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 color bar's tick label font
tickformat
Sets the tick label formatting rule using d3 formatting
mini-languages which are very similar to those in
Python. For numbers, see:
https://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.choroplethmap.c
olorbar.Tickformatstop` instances or dicts with
compatible properties
tickformatstopdefaults
When used in a template (as layout.template.data.chorop
lethmap.colorbar.tickformatstopdefaults), sets the
default property values to use for elements of
choroplethmap.colorbar.tickformatstops
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of the
axis. The default value for inside tick labels is *hide
past domain*. In other cases the default is *hide past
div*.
ticklabelposition
Determines where tick labels are drawn relative to the
ticks. Left and right options are used when
`orientation` is "h", top and bottom when `orientation`
is "v".
ticklabelstep
Sets the spacing between tick labels as compared to the
spacing between ticks. A value of 1 (default) means
each tick gets a label. A value of 2 means shows every
2nd label. A larger value n means only every nth tick
is labeled. `tick0` determines which labels are shown.
Not implemented for axes with `type` "log" or
"multicategory", or when `tickmode` is "array".
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.choroplethmap.colorbar.Tit
le` instance or dict with compatible properties
x
Sets the x position with respect to `xref` of the color
bar (in plot fraction). When `xref` is "paper",
defaults to 1.02 when `orientation` is "v" and 0.5 when
`orientation` is "h". When `xref` is "container",
defaults to 1 when `orientation` is "v" and 0.5 when
`orientation` is "h". Must be between 0 and 1 if `xref`
is "container" and between "-2" and 3 if `xref` is
"paper".
xanchor
Sets this color bar's horizontal position anchor. This
anchor binds the `x` position to the "left", "center"
or "right" of the color bar. Defaults to "left" when
`orientation` is "v" and "center" when `orientation` is
"h".
xpad
Sets the amount of padding (in px) along the x
direction.
xref
Sets the container `x` refers to. "container" spans the
entire `width` of the plot. "paper" refers to the width
of the plotting area only.
y
Sets the y position with respect to `yref` of the color
bar (in plot fraction). When `yref` is "paper",
defaults to 0.5 when `orientation` is "v" and 1.02 when
`orientation` is "h". When `yref` is "container",
defaults to 0.5 when `orientation` is "v" and 1 when
`orientation` is "h". Must be between 0 and 1 if `yref`
is "container" and between "-2" and 3 if `yref` is
"paper".
yanchor
Sets this color bar's vertical position anchor This
anchor binds the `y` position to the "top", "middle" or
"bottom" of the color bar. Defaults to "middle" when
`orientation` is "v" and "bottom" when `orientation` is
"h".
ypad
Sets the amount of padding (in px) along the y
direction.
yref
Sets the container `y` refers to. "container" spans the
entire `height` of the plot. "paper" refers to the
height of the plotting area only.
Returns
-------
ColorBar | __init__ | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/_colorbar.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/_colorbar.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.scattermap.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.scattermap.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.scattermap.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.scattermap.legendgrouptitle.Font | font | python | plotly/plotly.py | plotly/graph_objs/scattermap/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scattermap/_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/scattermap/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scattermap/_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.scattermap.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.scattermap.Legendgrouptitle
constructor must be a dict or
an instance of :class:`plotly.graph_objs.scattermap.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.scattermap.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/scattermap/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scattermap/_legendgrouptitle.py | MIT |
def bgcolor(self):
"""
Set the background color of the map
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"] | Set the background color of the map
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/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def center(self):
"""
The 'center' property is an instance of Center
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Center`
- A dict of string/value properties that will be passed
to the Center constructor
Supported dict properties:
lat
Sets the latitude of the map's center. For all
projection types, the map's latitude center
lies at the middle of the latitude range by
default.
lon
Sets the longitude of the map's center. By
default, the map's longitude center lies at the
middle of the longitude range for scoped
projection and above `projection.rotation.lon`
otherwise.
Returns
-------
plotly.graph_objs.layout.geo.Center
"""
return self["center"] | The 'center' property is an instance of Center
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Center`
- A dict of string/value properties that will be passed
to the Center constructor
Supported dict properties:
lat
Sets the latitude of the map's center. For all
projection types, the map's latitude center
lies at the middle of the latitude range by
default.
lon
Sets the longitude of the map's center. By
default, the map's longitude center lies at the
middle of the longitude range for scoped
projection and above `projection.rotation.lon`
otherwise.
Returns
-------
plotly.graph_objs.layout.geo.Center | center | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def coastlinecolor(self):
"""
Sets the coastline color.
The 'coastlinecolor' 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["coastlinecolor"] | Sets the coastline color.
The 'coastlinecolor' 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 | coastlinecolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def coastlinewidth(self):
"""
Sets the coastline stroke width (in px).
The 'coastlinewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["coastlinewidth"] | Sets the coastline stroke width (in px).
The 'coastlinewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | coastlinewidth | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def countrycolor(self):
"""
Sets line color of the country boundaries.
The 'countrycolor' 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["countrycolor"] | Sets line color of the country boundaries.
The 'countrycolor' 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 | countrycolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def countrywidth(self):
"""
Sets line width (in px) of the country boundaries.
The 'countrywidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["countrywidth"] | Sets line width (in px) of the country boundaries.
The 'countrywidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | countrywidth | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.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.geo.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 geo subplot .
Note that geo subplots are constrained by
domain. In general, when `projection.scale` is
set to 1. a map will fit either its x or y
domain, but not both.
row
If there is a layout grid, use the domain for
this row in the grid for this geo subplot .
Note that geo subplots are constrained by
domain. In general, when `projection.scale` is
set to 1. a map will fit either its x or y
domain, but not both.
x
Sets the horizontal domain of this geo subplot
(in plot fraction). Note that geo subplots are
constrained by domain. In general, when
`projection.scale` is set to 1. a map will fit
either its x or y domain, but not both.
y
Sets the vertical domain of this geo subplot
(in plot fraction). Note that geo subplots are
constrained by domain. In general, when
`projection.scale` is set to 1. a map will fit
either its x or y domain, but not both.
Returns
-------
plotly.graph_objs.layout.geo.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.geo.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 geo subplot .
Note that geo subplots are constrained by
domain. In general, when `projection.scale` is
set to 1. a map will fit either its x or y
domain, but not both.
row
If there is a layout grid, use the domain for
this row in the grid for this geo subplot .
Note that geo subplots are constrained by
domain. In general, when `projection.scale` is
set to 1. a map will fit either its x or y
domain, but not both.
x
Sets the horizontal domain of this geo subplot
(in plot fraction). Note that geo subplots are
constrained by domain. In general, when
`projection.scale` is set to 1. a map will fit
either its x or y domain, but not both.
y
Sets the vertical domain of this geo subplot
(in plot fraction). Note that geo subplots are
constrained by domain. In general, when
`projection.scale` is set to 1. a map will fit
either its x or y domain, but not both.
Returns
-------
plotly.graph_objs.layout.geo.Domain | domain | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def fitbounds(self):
"""
Determines if this subplot's view settings are auto-computed to
fit trace data. On scoped maps, setting `fitbounds` leads to
`center.lon` and `center.lat` getting auto-filled. On maps with
a non-clipped projection, setting `fitbounds` leads to
`center.lon`, `center.lat`, and `projection.rotation.lon`
getting auto-filled. On maps with a clipped projection, setting
`fitbounds` leads to `center.lon`, `center.lat`,
`projection.rotation.lon`, `projection.rotation.lat`,
`lonaxis.range` and `lataxis.range` getting auto-filled. If
"locations", only the trace's visible locations are considered
in the `fitbounds` computations. If "geojson", the entire trace
input `geojson` (if provided) is considered in the `fitbounds`
computations, Defaults to False.
The 'fitbounds' property is an enumeration that may be specified as:
- One of the following enumeration values:
[False, 'locations', 'geojson']
Returns
-------
Any
"""
return self["fitbounds"] | Determines if this subplot's view settings are auto-computed to
fit trace data. On scoped maps, setting `fitbounds` leads to
`center.lon` and `center.lat` getting auto-filled. On maps with
a non-clipped projection, setting `fitbounds` leads to
`center.lon`, `center.lat`, and `projection.rotation.lon`
getting auto-filled. On maps with a clipped projection, setting
`fitbounds` leads to `center.lon`, `center.lat`,
`projection.rotation.lon`, `projection.rotation.lat`,
`lonaxis.range` and `lataxis.range` getting auto-filled. If
"locations", only the trace's visible locations are considered
in the `fitbounds` computations. If "geojson", the entire trace
input `geojson` (if provided) is considered in the `fitbounds`
computations, Defaults to False.
The 'fitbounds' property is an enumeration that may be specified as:
- One of the following enumeration values:
[False, 'locations', 'geojson']
Returns
-------
Any | fitbounds | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def framecolor(self):
"""
Sets the color the frame.
The 'framecolor' 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["framecolor"] | Sets the color the frame.
The 'framecolor' 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 | framecolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def framewidth(self):
"""
Sets the stroke width (in px) of the frame.
The 'framewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["framewidth"] | Sets the stroke width (in px) of the frame.
The 'framewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | framewidth | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def lakecolor(self):
"""
Sets the color of the lakes.
The 'lakecolor' 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["lakecolor"] | Sets the color of the lakes.
The 'lakecolor' 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 | lakecolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def landcolor(self):
"""
Sets the land mass color.
The 'landcolor' 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["landcolor"] | Sets the land mass color.
The 'landcolor' 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 | landcolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def lataxis(self):
"""
The 'lataxis' property is an instance of Lataxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Lataxis`
- A dict of string/value properties that will be passed
to the Lataxis constructor
Supported dict properties:
dtick
Sets the graticule's longitude/latitude tick
step.
gridcolor
Sets the graticule's stroke color.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the graticule's stroke width (in px).
range
Sets the range of this axis (in degrees), sets
the map's clipped coordinates.
showgrid
Sets whether or not graticule are shown on the
map.
tick0
Sets the graticule's starting tick
longitude/latitude.
Returns
-------
plotly.graph_objs.layout.geo.Lataxis
"""
return self["lataxis"] | The 'lataxis' property is an instance of Lataxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Lataxis`
- A dict of string/value properties that will be passed
to the Lataxis constructor
Supported dict properties:
dtick
Sets the graticule's longitude/latitude tick
step.
gridcolor
Sets the graticule's stroke color.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the graticule's stroke width (in px).
range
Sets the range of this axis (in degrees), sets
the map's clipped coordinates.
showgrid
Sets whether or not graticule are shown on the
map.
tick0
Sets the graticule's starting tick
longitude/latitude.
Returns
-------
plotly.graph_objs.layout.geo.Lataxis | lataxis | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def lonaxis(self):
"""
The 'lonaxis' property is an instance of Lonaxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`
- A dict of string/value properties that will be passed
to the Lonaxis constructor
Supported dict properties:
dtick
Sets the graticule's longitude/latitude tick
step.
gridcolor
Sets the graticule's stroke color.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the graticule's stroke width (in px).
range
Sets the range of this axis (in degrees), sets
the map's clipped coordinates.
showgrid
Sets whether or not graticule are shown on the
map.
tick0
Sets the graticule's starting tick
longitude/latitude.
Returns
-------
plotly.graph_objs.layout.geo.Lonaxis
"""
return self["lonaxis"] | The 'lonaxis' property is an instance of Lonaxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Lonaxis`
- A dict of string/value properties that will be passed
to the Lonaxis constructor
Supported dict properties:
dtick
Sets the graticule's longitude/latitude tick
step.
gridcolor
Sets the graticule's stroke color.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the graticule's stroke width (in px).
range
Sets the range of this axis (in degrees), sets
the map's clipped coordinates.
showgrid
Sets whether or not graticule are shown on the
map.
tick0
Sets the graticule's starting tick
longitude/latitude.
Returns
-------
plotly.graph_objs.layout.geo.Lonaxis | lonaxis | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def oceancolor(self):
"""
Sets the ocean color
The 'oceancolor' 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["oceancolor"] | Sets the ocean color
The 'oceancolor' 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 | oceancolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def projection(self):
"""
The 'projection' property is an instance of Projection
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Projection`
- A dict of string/value properties that will be passed
to the Projection constructor
Supported dict properties:
distance
For satellite projection type only. Sets the
distance from the center of the sphere to the
point of view as a proportion of the sphere’s
radius.
parallels
For conic projection types only. Sets the
parallels (tangent, secant) where the cone
intersects the sphere.
rotation
:class:`plotly.graph_objects.layout.geo.project
ion.Rotation` instance or dict with compatible
properties
scale
Zooms in or out on the map view. A scale of 1
corresponds to the largest zoom level that fits
the map's lon and lat ranges.
tilt
For satellite projection type only. Sets the
tilt angle of perspective projection.
type
Sets the projection type.
Returns
-------
plotly.graph_objs.layout.geo.Projection
"""
return self["projection"] | The 'projection' property is an instance of Projection
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.geo.Projection`
- A dict of string/value properties that will be passed
to the Projection constructor
Supported dict properties:
distance
For satellite projection type only. Sets the
distance from the center of the sphere to the
point of view as a proportion of the sphere’s
radius.
parallels
For conic projection types only. Sets the
parallels (tangent, secant) where the cone
intersects the sphere.
rotation
:class:`plotly.graph_objects.layout.geo.project
ion.Rotation` instance or dict with compatible
properties
scale
Zooms in or out on the map view. A scale of 1
corresponds to the largest zoom level that fits
the map's lon and lat ranges.
tilt
For satellite projection type only. Sets the
tilt angle of perspective projection.
type
Sets the projection type.
Returns
-------
plotly.graph_objs.layout.geo.Projection | projection | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def resolution(self):
"""
Sets the resolution of the base layers. The values have units
of km/mm e.g. 110 corresponds to a scale ratio of
1:110,000,000.
The 'resolution' property is an enumeration that may be specified as:
- One of the following enumeration values:
[110, 50]
Returns
-------
Any
"""
return self["resolution"] | Sets the resolution of the base layers. The values have units
of km/mm e.g. 110 corresponds to a scale ratio of
1:110,000,000.
The 'resolution' property is an enumeration that may be specified as:
- One of the following enumeration values:
[110, 50]
Returns
-------
Any | resolution | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def rivercolor(self):
"""
Sets color of the rivers.
The 'rivercolor' 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["rivercolor"] | Sets color of the rivers.
The 'rivercolor' 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 | rivercolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def riverwidth(self):
"""
Sets the stroke width (in px) of the rivers.
The 'riverwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["riverwidth"] | Sets the stroke width (in px) of the rivers.
The 'riverwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | riverwidth | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def scope(self):
"""
Set the scope of the map.
The 'scope' property is an enumeration that may be specified as:
- One of the following enumeration values:
['africa', 'asia', 'europe', 'north america', 'south
america', 'usa', 'world']
Returns
-------
Any
"""
return self["scope"] | Set the scope of the map.
The 'scope' property is an enumeration that may be specified as:
- One of the following enumeration values:
['africa', 'asia', 'europe', 'north america', 'south
america', 'usa', 'world']
Returns
-------
Any | scope | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showcoastlines(self):
"""
Sets whether or not the coastlines are drawn.
The 'showcoastlines' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showcoastlines"] | Sets whether or not the coastlines are drawn.
The 'showcoastlines' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showcoastlines | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showcountries(self):
"""
Sets whether or not country boundaries are drawn.
The 'showcountries' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showcountries"] | Sets whether or not country boundaries are drawn.
The 'showcountries' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showcountries | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showframe(self):
"""
Sets whether or not a frame is drawn around the map.
The 'showframe' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showframe"] | Sets whether or not a frame is drawn around the map.
The 'showframe' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showframe | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showlakes(self):
"""
Sets whether or not lakes are drawn.
The 'showlakes' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showlakes"] | Sets whether or not lakes are drawn.
The 'showlakes' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showlakes | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showland(self):
"""
Sets whether or not land masses are filled in color.
The 'showland' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showland"] | Sets whether or not land masses are filled in color.
The 'showland' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showland | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showocean(self):
"""
Sets whether or not oceans are filled in color.
The 'showocean' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showocean"] | Sets whether or not oceans are filled in color.
The 'showocean' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showocean | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showrivers(self):
"""
Sets whether or not rivers are drawn.
The 'showrivers' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showrivers"] | Sets whether or not rivers are drawn.
The 'showrivers' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showrivers | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def showsubunits(self):
"""
Sets whether or not boundaries of subunits within countries
(e.g. states, provinces) are drawn.
The 'showsubunits' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showsubunits"] | Sets whether or not boundaries of subunits within countries
(e.g. states, provinces) are drawn.
The 'showsubunits' property must be specified as a bool
(either True, or False)
Returns
-------
bool | showsubunits | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def subunitcolor(self):
"""
Sets the color of the subunits boundaries.
The 'subunitcolor' 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["subunitcolor"] | Sets the color of the subunits boundaries.
The 'subunitcolor' 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 | subunitcolor | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def subunitwidth(self):
"""
Sets the stroke width (in px) of the subunits boundaries.
The 'subunitwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["subunitwidth"] | Sets the stroke width (in px) of the subunits boundaries.
The 'subunitwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | subunitwidth | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def uirevision(self):
"""
Controls persistence of user-driven changes in the view
(projection and center). Defaults to `layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
"""
return self["uirevision"] | Controls persistence of user-driven changes in the view
(projection and center). Defaults to `layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any | uirevision | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def visible(self):
"""
Sets the default visibility of the base layers.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"] | Sets the default visibility of the base layers.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool | visible | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def __init__(
self,
arg=None,
bgcolor=None,
center=None,
coastlinecolor=None,
coastlinewidth=None,
countrycolor=None,
countrywidth=None,
domain=None,
fitbounds=None,
framecolor=None,
framewidth=None,
lakecolor=None,
landcolor=None,
lataxis=None,
lonaxis=None,
oceancolor=None,
projection=None,
resolution=None,
rivercolor=None,
riverwidth=None,
scope=None,
showcoastlines=None,
showcountries=None,
showframe=None,
showlakes=None,
showland=None,
showocean=None,
showrivers=None,
showsubunits=None,
subunitcolor=None,
subunitwidth=None,
uirevision=None,
visible=None,
**kwargs,
):
"""
Construct a new Geo object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.Geo`
bgcolor
Set the background color of the map
center
:class:`plotly.graph_objects.layout.geo.Center`
instance or dict with compatible properties
coastlinecolor
Sets the coastline color.
coastlinewidth
Sets the coastline stroke width (in px).
countrycolor
Sets line color of the country boundaries.
countrywidth
Sets line width (in px) of the country boundaries.
domain
:class:`plotly.graph_objects.layout.geo.Domain`
instance or dict with compatible properties
fitbounds
Determines if this subplot's view settings are auto-
computed to fit trace data. On scoped maps, setting
`fitbounds` leads to `center.lon` and `center.lat`
getting auto-filled. On maps with a non-clipped
projection, setting `fitbounds` leads to `center.lon`,
`center.lat`, and `projection.rotation.lon` getting
auto-filled. On maps with a clipped projection, setting
`fitbounds` leads to `center.lon`, `center.lat`,
`projection.rotation.lon`, `projection.rotation.lat`,
`lonaxis.range` and `lataxis.range` getting auto-
filled. If "locations", only the trace's visible
locations are considered in the `fitbounds`
computations. If "geojson", the entire trace input
`geojson` (if provided) is considered in the
`fitbounds` computations, Defaults to False.
framecolor
Sets the color the frame.
framewidth
Sets the stroke width (in px) of the frame.
lakecolor
Sets the color of the lakes.
landcolor
Sets the land mass color.
lataxis
:class:`plotly.graph_objects.layout.geo.Lataxis`
instance or dict with compatible properties
lonaxis
:class:`plotly.graph_objects.layout.geo.Lonaxis`
instance or dict with compatible properties
oceancolor
Sets the ocean color
projection
:class:`plotly.graph_objects.layout.geo.Projection`
instance or dict with compatible properties
resolution
Sets the resolution of the base layers. The values have
units of km/mm e.g. 110 corresponds to a scale ratio of
1:110,000,000.
rivercolor
Sets color of the rivers.
riverwidth
Sets the stroke width (in px) of the rivers.
scope
Set the scope of the map.
showcoastlines
Sets whether or not the coastlines are drawn.
showcountries
Sets whether or not country boundaries are drawn.
showframe
Sets whether or not a frame is drawn around the map.
showlakes
Sets whether or not lakes are drawn.
showland
Sets whether or not land masses are filled in color.
showocean
Sets whether or not oceans are filled in color.
showrivers
Sets whether or not rivers are drawn.
showsubunits
Sets whether or not boundaries of subunits within
countries (e.g. states, provinces) are drawn.
subunitcolor
Sets the color of the subunits boundaries.
subunitwidth
Sets the stroke width (in px) of the subunits
boundaries.
uirevision
Controls persistence of user-driven changes in the view
(projection and center). Defaults to
`layout.uirevision`.
visible
Sets the default visibility of the base layers.
Returns
-------
Geo
"""
super(Geo, self).__init__("geo")
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.Geo
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.Geo`"""
)
# 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("center", None)
_v = center if center is not None else _v
if _v is not None:
self["center"] = _v
_v = arg.pop("coastlinecolor", None)
_v = coastlinecolor if coastlinecolor is not None else _v
if _v is not None:
self["coastlinecolor"] = _v
_v = arg.pop("coastlinewidth", None)
_v = coastlinewidth if coastlinewidth is not None else _v
if _v is not None:
self["coastlinewidth"] = _v
_v = arg.pop("countrycolor", None)
_v = countrycolor if countrycolor is not None else _v
if _v is not None:
self["countrycolor"] = _v
_v = arg.pop("countrywidth", None)
_v = countrywidth if countrywidth is not None else _v
if _v is not None:
self["countrywidth"] = _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("fitbounds", None)
_v = fitbounds if fitbounds is not None else _v
if _v is not None:
self["fitbounds"] = _v
_v = arg.pop("framecolor", None)
_v = framecolor if framecolor is not None else _v
if _v is not None:
self["framecolor"] = _v
_v = arg.pop("framewidth", None)
_v = framewidth if framewidth is not None else _v
if _v is not None:
self["framewidth"] = _v
_v = arg.pop("lakecolor", None)
_v = lakecolor if lakecolor is not None else _v
if _v is not None:
self["lakecolor"] = _v
_v = arg.pop("landcolor", None)
_v = landcolor if landcolor is not None else _v
if _v is not None:
self["landcolor"] = _v
_v = arg.pop("lataxis", None)
_v = lataxis if lataxis is not None else _v
if _v is not None:
self["lataxis"] = _v
_v = arg.pop("lonaxis", None)
_v = lonaxis if lonaxis is not None else _v
if _v is not None:
self["lonaxis"] = _v
_v = arg.pop("oceancolor", None)
_v = oceancolor if oceancolor is not None else _v
if _v is not None:
self["oceancolor"] = _v
_v = arg.pop("projection", None)
_v = projection if projection is not None else _v
if _v is not None:
self["projection"] = _v
_v = arg.pop("resolution", None)
_v = resolution if resolution is not None else _v
if _v is not None:
self["resolution"] = _v
_v = arg.pop("rivercolor", None)
_v = rivercolor if rivercolor is not None else _v
if _v is not None:
self["rivercolor"] = _v
_v = arg.pop("riverwidth", None)
_v = riverwidth if riverwidth is not None else _v
if _v is not None:
self["riverwidth"] = _v
_v = arg.pop("scope", None)
_v = scope if scope is not None else _v
if _v is not None:
self["scope"] = _v
_v = arg.pop("showcoastlines", None)
_v = showcoastlines if showcoastlines is not None else _v
if _v is not None:
self["showcoastlines"] = _v
_v = arg.pop("showcountries", None)
_v = showcountries if showcountries is not None else _v
if _v is not None:
self["showcountries"] = _v
_v = arg.pop("showframe", None)
_v = showframe if showframe is not None else _v
if _v is not None:
self["showframe"] = _v
_v = arg.pop("showlakes", None)
_v = showlakes if showlakes is not None else _v
if _v is not None:
self["showlakes"] = _v
_v = arg.pop("showland", None)
_v = showland if showland is not None else _v
if _v is not None:
self["showland"] = _v
_v = arg.pop("showocean", None)
_v = showocean if showocean is not None else _v
if _v is not None:
self["showocean"] = _v
_v = arg.pop("showrivers", None)
_v = showrivers if showrivers is not None else _v
if _v is not None:
self["showrivers"] = _v
_v = arg.pop("showsubunits", None)
_v = showsubunits if showsubunits is not None else _v
if _v is not None:
self["showsubunits"] = _v
_v = arg.pop("subunitcolor", None)
_v = subunitcolor if subunitcolor is not None else _v
if _v is not None:
self["subunitcolor"] = _v
_v = arg.pop("subunitwidth", None)
_v = subunitwidth if subunitwidth is not None else _v
if _v is not None:
self["subunitwidth"] = _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("visible", None)
_v = visible if visible is not None else _v
if _v is not None:
self["visible"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Geo object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.Geo`
bgcolor
Set the background color of the map
center
:class:`plotly.graph_objects.layout.geo.Center`
instance or dict with compatible properties
coastlinecolor
Sets the coastline color.
coastlinewidth
Sets the coastline stroke width (in px).
countrycolor
Sets line color of the country boundaries.
countrywidth
Sets line width (in px) of the country boundaries.
domain
:class:`plotly.graph_objects.layout.geo.Domain`
instance or dict with compatible properties
fitbounds
Determines if this subplot's view settings are auto-
computed to fit trace data. On scoped maps, setting
`fitbounds` leads to `center.lon` and `center.lat`
getting auto-filled. On maps with a non-clipped
projection, setting `fitbounds` leads to `center.lon`,
`center.lat`, and `projection.rotation.lon` getting
auto-filled. On maps with a clipped projection, setting
`fitbounds` leads to `center.lon`, `center.lat`,
`projection.rotation.lon`, `projection.rotation.lat`,
`lonaxis.range` and `lataxis.range` getting auto-
filled. If "locations", only the trace's visible
locations are considered in the `fitbounds`
computations. If "geojson", the entire trace input
`geojson` (if provided) is considered in the
`fitbounds` computations, Defaults to False.
framecolor
Sets the color the frame.
framewidth
Sets the stroke width (in px) of the frame.
lakecolor
Sets the color of the lakes.
landcolor
Sets the land mass color.
lataxis
:class:`plotly.graph_objects.layout.geo.Lataxis`
instance or dict with compatible properties
lonaxis
:class:`plotly.graph_objects.layout.geo.Lonaxis`
instance or dict with compatible properties
oceancolor
Sets the ocean color
projection
:class:`plotly.graph_objects.layout.geo.Projection`
instance or dict with compatible properties
resolution
Sets the resolution of the base layers. The values have
units of km/mm e.g. 110 corresponds to a scale ratio of
1:110,000,000.
rivercolor
Sets color of the rivers.
riverwidth
Sets the stroke width (in px) of the rivers.
scope
Set the scope of the map.
showcoastlines
Sets whether or not the coastlines are drawn.
showcountries
Sets whether or not country boundaries are drawn.
showframe
Sets whether or not a frame is drawn around the map.
showlakes
Sets whether or not lakes are drawn.
showland
Sets whether or not land masses are filled in color.
showocean
Sets whether or not oceans are filled in color.
showrivers
Sets whether or not rivers are drawn.
showsubunits
Sets whether or not boundaries of subunits within
countries (e.g. states, provinces) are drawn.
subunitcolor
Sets the color of the subunits boundaries.
subunitwidth
Sets the stroke width (in px) of the subunits
boundaries.
uirevision
Controls persistence of user-driven changes in the view
(projection and center). Defaults to
`layout.uirevision`.
visible
Sets the default visibility of the base layers.
Returns
-------
Geo | __init__ | python | plotly/plotly.py | plotly/graph_objs/layout/_geo.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/_geo.py | MIT |
def array(self):
"""
Sets the data corresponding the length of each error bar.
Values are plotted relative to the underlying data.
The 'array' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["array"] | Sets the data corresponding the length of each error bar.
Values are plotted relative to the underlying data.
The 'array' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray | array | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def arrayminus(self):
"""
Sets the data corresponding the length of each error bar in the
bottom (left) direction for vertical (horizontal) bars Values
are plotted relative to the underlying data.
The 'arrayminus' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["arrayminus"] | Sets the data corresponding the length of each error bar in the
bottom (left) direction for vertical (horizontal) bars Values
are plotted relative to the underlying data.
The 'arrayminus' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray | arrayminus | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def arrayminussrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`arrayminus`.
The 'arrayminussrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["arrayminussrc"] | Sets the source reference on Chart Studio Cloud for
`arrayminus`.
The 'arrayminussrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | arrayminussrc | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def arraysrc(self):
"""
Sets the source reference on Chart Studio Cloud for `array`.
The 'arraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["arraysrc"] | Sets the source reference on Chart Studio Cloud for `array`.
The 'arraysrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str | arraysrc | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def color(self):
"""
Sets the stroke color of the error bars.
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"] | Sets the stroke color of the error bars.
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/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def copy_ystyle(self):
"""
The 'copy_ystyle' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["copy_ystyle"] | The 'copy_ystyle' property must be specified as a bool
(either True, or False)
Returns
-------
bool | copy_ystyle | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def symmetric(self):
"""
Determines whether or not the error bars have the same length
in both direction (top/bottom for vertical bars, left/right for
horizontal bars.
The 'symmetric' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["symmetric"] | Determines whether or not the error bars have the same length
in both direction (top/bottom for vertical bars, left/right for
horizontal bars.
The 'symmetric' property must be specified as a bool
(either True, or False)
Returns
-------
bool | symmetric | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def thickness(self):
"""
Sets the thickness (in px) of the error bars.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["thickness"] | Sets the thickness (in px) of the error bars.
The 'thickness' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | thickness | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def traceref(self):
"""
The 'traceref' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["traceref"] | The 'traceref' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int | traceref | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def tracerefminus(self):
"""
The 'tracerefminus' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["tracerefminus"] | The 'tracerefminus' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int | tracerefminus | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def type(self):
"""
Determines the rule used to generate the error bars. If
*constant`, the bar lengths are of a constant value. Set this
constant in `value`. If "percent", the bar lengths correspond
to a percentage of underlying data. Set this percentage in
`value`. If "sqrt", the bar lengths correspond to the square of
the underlying data. If "data", the bar lengths are set with
data set `array`.
The 'type' property is an enumeration that may be specified as:
- One of the following enumeration values:
['percent', 'constant', 'sqrt', 'data']
Returns
-------
Any
"""
return self["type"] | Determines the rule used to generate the error bars. If
*constant`, the bar lengths are of a constant value. Set this
constant in `value`. If "percent", the bar lengths correspond
to a percentage of underlying data. Set this percentage in
`value`. If "sqrt", the bar lengths correspond to the square of
the underlying data. If "data", the bar lengths are set with
data set `array`.
The 'type' property is an enumeration that may be specified as:
- One of the following enumeration values:
['percent', 'constant', 'sqrt', 'data']
Returns
-------
Any | type | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def value(self):
"""
Sets the value of either the percentage (if `type` is set to
"percent") or the constant (if `type` is set to "constant")
corresponding to the lengths of the error bars.
The 'value' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["value"] | Sets the value of either the percentage (if `type` is set to
"percent") or the constant (if `type` is set to "constant")
corresponding to the lengths of the error bars.
The 'value' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | value | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def valueminus(self):
"""
Sets the value of either the percentage (if `type` is set to
"percent") or the constant (if `type` is set to "constant")
corresponding to the lengths of the error bars in the bottom
(left) direction for vertical (horizontal) bars
The 'valueminus' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["valueminus"] | Sets the value of either the percentage (if `type` is set to
"percent") or the constant (if `type` is set to "constant")
corresponding to the lengths of the error bars in the bottom
(left) direction for vertical (horizontal) bars
The 'valueminus' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | valueminus | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def visible(self):
"""
Determines whether or not this set of error bars is visible.
The 'visible' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["visible"] | Determines whether or not this set of error bars 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/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def width(self):
"""
Sets the width (in px) of the cross-bar at both ends of the
error bars.
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["width"] | Sets the width (in px) of the cross-bar at both ends of the
error bars.
The 'width' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float | width | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.py | MIT |
def __init__(
self,
arg=None,
array=None,
arrayminus=None,
arrayminussrc=None,
arraysrc=None,
color=None,
copy_ystyle=None,
symmetric=None,
thickness=None,
traceref=None,
tracerefminus=None,
type=None,
value=None,
valueminus=None,
visible=None,
width=None,
**kwargs,
):
"""
Construct a new ErrorX object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.histogram.ErrorX`
array
Sets the data corresponding the length of each error
bar. Values are plotted relative to the underlying
data.
arrayminus
Sets the data corresponding the length of each error
bar in the bottom (left) direction for vertical
(horizontal) bars Values are plotted relative to the
underlying data.
arrayminussrc
Sets the source reference on Chart Studio Cloud for
`arrayminus`.
arraysrc
Sets the source reference on Chart Studio Cloud for
`array`.
color
Sets the stroke color of the error bars.
copy_ystyle
symmetric
Determines whether or not the error bars have the same
length in both direction (top/bottom for vertical bars,
left/right for horizontal bars.
thickness
Sets the thickness (in px) of the error bars.
traceref
tracerefminus
type
Determines the rule used to generate the error bars. If
*constant`, the bar lengths are of a constant value.
Set this constant in `value`. If "percent", the bar
lengths correspond to a percentage of underlying data.
Set this percentage in `value`. If "sqrt", the bar
lengths correspond to the square of the underlying
data. If "data", the bar lengths are set with data set
`array`.
value
Sets the value of either the percentage (if `type` is
set to "percent") or the constant (if `type` is set to
"constant") corresponding to the lengths of the error
bars.
valueminus
Sets the value of either the percentage (if `type` is
set to "percent") or the constant (if `type` is set to
"constant") corresponding to the lengths of the error
bars in the bottom (left) direction for vertical
(horizontal) bars
visible
Determines whether or not this set of error bars is
visible.
width
Sets the width (in px) of the cross-bar at both ends of
the error bars.
Returns
-------
ErrorX
"""
super(ErrorX, self).__init__("error_x")
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.ErrorX
constructor must be a dict or
an instance of :class:`plotly.graph_objs.histogram.ErrorX`"""
)
# 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("array", None)
_v = array if array is not None else _v
if _v is not None:
self["array"] = _v
_v = arg.pop("arrayminus", None)
_v = arrayminus if arrayminus is not None else _v
if _v is not None:
self["arrayminus"] = _v
_v = arg.pop("arrayminussrc", None)
_v = arrayminussrc if arrayminussrc is not None else _v
if _v is not None:
self["arrayminussrc"] = _v
_v = arg.pop("arraysrc", None)
_v = arraysrc if arraysrc is not None else _v
if _v is not None:
self["arraysrc"] = _v
_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("copy_ystyle", None)
_v = copy_ystyle if copy_ystyle is not None else _v
if _v is not None:
self["copy_ystyle"] = _v
_v = arg.pop("symmetric", None)
_v = symmetric if symmetric is not None else _v
if _v is not None:
self["symmetric"] = _v
_v = arg.pop("thickness", None)
_v = thickness if thickness is not None else _v
if _v is not None:
self["thickness"] = _v
_v = arg.pop("traceref", None)
_v = traceref if traceref is not None else _v
if _v is not None:
self["traceref"] = _v
_v = arg.pop("tracerefminus", None)
_v = tracerefminus if tracerefminus is not None else _v
if _v is not None:
self["tracerefminus"] = _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("value", None)
_v = value if value is not None else _v
if _v is not None:
self["value"] = _v
_v = arg.pop("valueminus", None)
_v = valueminus if valueminus is not None else _v
if _v is not None:
self["valueminus"] = _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
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new ErrorX object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.histogram.ErrorX`
array
Sets the data corresponding the length of each error
bar. Values are plotted relative to the underlying
data.
arrayminus
Sets the data corresponding the length of each error
bar in the bottom (left) direction for vertical
(horizontal) bars Values are plotted relative to the
underlying data.
arrayminussrc
Sets the source reference on Chart Studio Cloud for
`arrayminus`.
arraysrc
Sets the source reference on Chart Studio Cloud for
`array`.
color
Sets the stroke color of the error bars.
copy_ystyle
symmetric
Determines whether or not the error bars have the same
length in both direction (top/bottom for vertical bars,
left/right for horizontal bars.
thickness
Sets the thickness (in px) of the error bars.
traceref
tracerefminus
type
Determines the rule used to generate the error bars. If
*constant`, the bar lengths are of a constant value.
Set this constant in `value`. If "percent", the bar
lengths correspond to a percentage of underlying data.
Set this percentage in `value`. If "sqrt", the bar
lengths correspond to the square of the underlying
data. If "data", the bar lengths are set with data set
`array`.
value
Sets the value of either the percentage (if `type` is
set to "percent") or the constant (if `type` is set to
"constant") corresponding to the lengths of the error
bars.
valueminus
Sets the value of either the percentage (if `type` is
set to "percent") or the constant (if `type` is set to
"constant") corresponding to the lengths of the error
bars in the bottom (left) direction for vertical
(horizontal) bars
visible
Determines whether or not this set of error bars is
visible.
width
Sets the width (in px) of the cross-bar at both ends of
the error bars.
Returns
-------
ErrorX | __init__ | python | plotly/plotly.py | plotly/graph_objs/histogram/_error_x.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/histogram/_error_x.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.volume.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.volume.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.volume.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.volume.legendgrouptitle.Font | font | python | plotly/plotly.py | plotly/graph_objs/volume/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/volume/_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/volume/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/volume/_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.volume.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.volume.Legendgrouptitle
constructor must be a dict or
an instance of :class:`plotly.graph_objs.volume.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.volume.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/volume/_legendgrouptitle.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/volume/_legendgrouptitle.py | MIT |
def maxpoints(self):
"""
Sets the maximum number of points to keep on the plots from an
incoming stream. If `maxpoints` is set to 50, only the newest
50 points will be displayed on the plot.
The 'maxpoints' property is a number and may be specified as:
- An int or float in the interval [0, 10000]
Returns
-------
int|float
"""
return self["maxpoints"] | Sets the maximum number of points to keep on the plots from an
incoming stream. If `maxpoints` is set to 50, only the newest
50 points will be displayed on the plot.
The 'maxpoints' property is a number and may be specified as:
- An int or float in the interval [0, 10000]
Returns
-------
int|float | maxpoints | python | plotly/plotly.py | plotly/graph_objs/ohlc/_stream.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/ohlc/_stream.py | MIT |
def token(self):
"""
The stream id number links a data trace on a plot with a
stream. See https://chart-studio.plotly.com/settings for more
details.
The 'token' property is a string and must be specified as:
- A non-empty string
Returns
-------
str
"""
return self["token"] | The stream id number links a data trace on a plot with a
stream. See https://chart-studio.plotly.com/settings for more
details.
The 'token' property is a string and must be specified as:
- A non-empty string
Returns
-------
str | token | python | plotly/plotly.py | plotly/graph_objs/ohlc/_stream.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/ohlc/_stream.py | MIT |
def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
"""
Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.ohlc.Stream`
maxpoints
Sets the maximum number of points to keep on the plots
from an incoming stream. If `maxpoints` is set to 50,
only the newest 50 points will be displayed on the
plot.
token
The stream id number links a data trace on a plot with
a stream. See https://chart-studio.plotly.com/settings
for more details.
Returns
-------
Stream
"""
super(Stream, self).__init__("stream")
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.ohlc.Stream
constructor must be a dict or
an instance of :class:`plotly.graph_objs.ohlc.Stream`"""
)
# 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("maxpoints", None)
_v = maxpoints if maxpoints is not None else _v
if _v is not None:
self["maxpoints"] = _v
_v = arg.pop("token", None)
_v = token if token is not None else _v
if _v is not None:
self["token"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Stream object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.ohlc.Stream`
maxpoints
Sets the maximum number of points to keep on the plots
from an incoming stream. If `maxpoints` is set to 50,
only the newest 50 points will be displayed on the
plot.
token
The stream id number links a data trace on a plot with
a stream. See https://chart-studio.plotly.com/settings
for more details.
Returns
-------
Stream | __init__ | python | plotly/plotly.py | plotly/graph_objs/ohlc/_stream.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/ohlc/_stream.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.violin.unselected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of unselected points,
applied only when a selection exists.
opacity
Sets the marker opacity of unselected points,
applied only when a selection exists.
size
Sets the marker size of unselected points,
applied only when a selection exists.
Returns
-------
plotly.graph_objs.violin.unselected.Marker
"""
return self["marker"] | The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.violin.unselected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:
color
Sets the marker color of unselected points,
applied only when a selection exists.
opacity
Sets the marker opacity of unselected points,
applied only when a selection exists.
size
Sets the marker size of unselected points,
applied only when a selection exists.
Returns
-------
plotly.graph_objs.violin.unselected.Marker | marker | python | plotly/plotly.py | plotly/graph_objs/violin/_unselected.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/violin/_unselected.py | MIT |
def __init__(self, arg=None, marker=None, **kwargs):
"""
Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.violin.Unselected`
marker
:class:`plotly.graph_objects.violin.unselected.Marker`
instance or dict with compatible properties
Returns
-------
Unselected
"""
super(Unselected, self).__init__("unselected")
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.violin.Unselected
constructor must be a dict or
an instance of :class:`plotly.graph_objs.violin.Unselected`"""
)
# 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
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False | Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.violin.Unselected`
marker
:class:`plotly.graph_objects.violin.unselected.Marker`
instance or dict with compatible properties
Returns
-------
Unselected | __init__ | python | plotly/plotly.py | plotly/graph_objs/violin/_unselected.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/violin/_unselected.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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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')
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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]
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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']
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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']
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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']
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_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')
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/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_font.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 Font object
Sets this color bar's title font.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.choroplethmap.
colorbar.title.Font`
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
-------
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.choroplethmap.colorbar.title.Font
constructor must be a dict or
an instance of :class:`plotly.graph_objs.choroplethmap.colorbar.title.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("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 Font object
Sets this color bar's title font.
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.choroplethmap.
colorbar.title.Font`
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
-------
Font | __init__ | python | plotly/plotly.py | plotly/graph_objs/choroplethmap/colorbar/title/_font.py | https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/choroplethmap/colorbar/title/_font.py | MIT |
def write_source_py(py_source, filepath, leading_newlines=0):
"""
Format Python source code and write to a file, creating parent
directories as needed.
Parameters
----------
py_source : str
String containing valid Python source code. If string is empty,
no file will be written.
filepath : str
Full path to the file to be written
Returns
-------
None
"""
if py_source:
# Make dir if needed
# ------------------
filedir = opath.dirname(filepath)
# The exist_ok kwarg is only supported with Python 3, but that's ok since
# codegen is only supported with Python 3 anyway
os.makedirs(filedir, exist_ok=True)
# Write file
# ----------
py_source = "\n" * leading_newlines + py_source
with open(filepath, "at") as f:
f.write(py_source) | Format Python source code and write to a file, creating parent
directories as needed.
Parameters
----------
py_source : str
String containing valid Python source code. If string is empty,
no file will be written.
filepath : str
Full path to the file to be written
Returns
-------
None | write_source_py | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def build_from_imports_py(rel_modules=(), rel_classes=(), init_extra=""):
"""
Build a string containing a series of `from X import Y` lines
Parameters
----------
rel_modules: list of str
list of submodules to import, of the form .submodule
rel_classes: list of str
list of submodule classes/variables to import, of the form ._submodule.Foo
init_extra: str
Extra code snippet to append to end of __init__.py file
Returns
-------
str
String containing a series of imports
"""
rel_modules = list(rel_modules)
rel_classes = list(rel_classes)
import_lines = []
for rel in rel_classes + rel_modules:
rel_parts = rel.split(".")
parent_module = ".".join(rel_parts[:-1]) or "."
import_target = rel_parts[-1]
import_line = f"from {parent_module} import {import_target}"
import_lines.append(import_line)
imports_str = "\n ".join(import_lines)
result = f"""\
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
{imports_str}
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
{repr(rel_modules)},
{repr(rel_classes)}
)
{init_extra}
"""
return result | Build a string containing a series of `from X import Y` lines
Parameters
----------
rel_modules: list of str
list of submodules to import, of the form .submodule
rel_classes: list of str
list of submodule classes/variables to import, of the form ._submodule.Foo
init_extra: str
Extra code snippet to append to end of __init__.py file
Returns
-------
str
String containing a series of imports | build_from_imports_py | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def write_init_py(pkg_root, path_parts, rel_modules=(), rel_classes=(), init_extra=""):
"""
Build __init__.py source code and write to a file
Parameters
----------
pkg_root : str
Root package in which the top-level an __init__.py file with empty
path_parts should reside
path_parts : tuple of str
Tuple of sub-packages under pkg_root where the __init__.py
file should be written
rel_modules: list of str
list of submodules to import, of the form .submodule
rel_classes: list of str
list of submodule classes/variables to import, of the form ._submodule.Foo
init_extra: str
Extra code snippet to append to end of __init__.py file
Returns
-------
None
"""
# Generate source code
# --------------------
init_source = build_from_imports_py(rel_modules, rel_classes, init_extra)
# Write file
# ----------
filepath = opath.join(pkg_root, *path_parts, "__init__.py")
write_source_py(init_source, filepath) | Build __init__.py source code and write to a file
Parameters
----------
pkg_root : str
Root package in which the top-level an __init__.py file with empty
path_parts should reside
path_parts : tuple of str
Tuple of sub-packages under pkg_root where the __init__.py
file should be written
rel_modules: list of str
list of submodules to import, of the form .submodule
rel_classes: list of str
list of submodule classes/variables to import, of the form ._submodule.Foo
init_extra: str
Extra code snippet to append to end of __init__.py file
Returns
-------
None | write_init_py | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def __init__(self, plotly_schema, node_path=(), parent=None):
"""
Superclass constructor for all node types
Parameters
----------
plotly_schema : dict
JSON-parsed version of the default-schema.xml file
node_path : str or tuple
Path of from the 'root' node for the current trace type to the
particular node that this instance represents
parent : PlotlyNode
Reference to the node's parent
"""
# Save params
# -----------
self.plotly_schema = plotly_schema
self._parent = parent
# ### Process node path ###
if isinstance(node_path, str):
node_path = (node_path,)
self.node_path = node_path
# Compute children
# ----------------
# Note the node_data is a property that must be computed by the
# subclass based on plotly_schema and node_path
if isinstance(self.node_data, dict_like):
childs_parent = (
parent if self.node_path and self.node_path[-1] == "items" else self
)
self._children = [
self.__class__(
self.plotly_schema,
node_path=self.node_path + (c,),
parent=childs_parent,
)
for c in self.node_data
if c and c[0] != "_"
]
# Sort by plotly name
self._children = sorted(self._children, key=lambda node: node.plotly_name)
else:
self._children = [] | Superclass constructor for all node types
Parameters
----------
plotly_schema : dict
JSON-parsed version of the default-schema.xml file
node_path : str or tuple
Path of from the 'root' node for the current trace type to the
particular node that this instance represents
parent : PlotlyNode
Reference to the node's parent | __init__ | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def node_data(self):
"""
Dictionary of the subtree of the plotly_schema that this node
represents
Returns
-------
dict
"""
raise NotImplementedError() | Dictionary of the subtree of the plotly_schema that this node
represents
Returns
-------
dict | node_data | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def description(self):
"""
Description of the node
Returns
-------
str or None
"""
raise NotImplementedError() | Description of the node
Returns
-------
str or None | description | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_base_datatype(self):
"""
Superclass to use when generating a datatype class for this node
Returns
-------
str
"""
raise NotImplementedError | Superclass to use when generating a datatype class for this node
Returns
-------
str | name_base_datatype | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def root_name(self):
"""
Name of the node with empty node_path
Returns
-------
str
"""
raise NotImplementedError() | Name of the node with empty node_path
Returns
-------
str | root_name | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def plotly_name(self):
"""
Name of the node. Either the base_name or the name directly out of
the plotly_schema
Returns
-------
str
"""
if len(self.node_path) == 0:
return self.root_name
else:
return self.node_path[-1] | Name of the node. Either the base_name or the name directly out of
the plotly_schema
Returns
-------
str | plotly_name | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_datatype_class(self):
"""
Name of the Python datatype class representing this node
Returns
-------
str
"""
if self.plotly_name in OBJECT_NAME_TO_CLASS_NAME:
return OBJECT_NAME_TO_CLASS_NAME[self.plotly_name]
else:
return self.plotly_name.title().replace("_", "") | Name of the Python datatype class representing this node
Returns
-------
str | name_datatype_class | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_undercase(self):
"""
Name of node converted to undercase (all lowercase with underscores
separating words)
Returns
-------
str
"""
if not self.plotly_name:
# Empty plotly_name
return self.plotly_name
# Lowercase leading char
# ----------------------
name1 = self.plotly_name[0].lower() + self.plotly_name[1:]
# Replace capital chars by underscore-lower
# -----------------------------------------
name2 = "".join([("" if not c.isupper() else "_") + c.lower() for c in name1])
return name2 | Name of node converted to undercase (all lowercase with underscores
separating words)
Returns
-------
str | name_undercase | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_property(self):
"""
Name of the Python property corresponding to this node. This is the
same as `name_undercase` for compound nodes, but an 's' is appended
to the name for array nodes
Returns
-------
str
"""
return self.plotly_name + (
"s"
if self.is_array_element and
# Don't add 's' to layout.template.data.scatter etc.
not (
self.parent
and self.parent.parent
and self.parent.parent.parent
and self.parent.parent.parent.name_property == "template"
)
else ""
) | Name of the Python property corresponding to this node. This is the
same as `name_undercase` for compound nodes, but an 's' is appended
to the name for array nodes
Returns
-------
str | name_property | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_validator_class(self) -> str:
"""
Name of the Python validator class representing this node
Returns
-------
str
"""
return self.name_property.title() + "Validator" | Name of the Python validator class representing this node
Returns
-------
str | name_validator_class | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
def name_base_validator(self) -> str:
"""
Superclass to use when generating a validator class for this node
Returns
-------
str
"""
if self.path_str in CUSTOM_VALIDATOR_DATATYPES:
validator_base = CUSTOM_VALIDATOR_DATATYPES[self.path_str]
elif self.plotly_name.endswith("src") and self.datatype == "string":
validator_base = "_plotly_utils.basevalidators.SrcValidator"
elif self.plotly_name.endswith("dash") and self.datatype == "string":
validator_base = "_plotly_utils.basevalidators.DashValidator"
elif self.plotly_name == "title" and self.datatype == "compound":
validator_base = "_plotly_utils.basevalidators.TitleValidator"
else:
datatype_title_case = self.datatype.title().replace("_", "")
validator_base = (
f"_plotly_utils.basevalidators." f"{datatype_title_case}Validator"
)
return validator_base | Superclass to use when generating a validator class for this node
Returns
-------
str | name_base_validator | python | plotly/plotly.py | codegen/utils.py | https://github.com/plotly/plotly.py/blob/master/codegen/utils.py | MIT |
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