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def smoothing(self): """ Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). The 'smoothing' property is a number and may be specified as: - An int or float in the interval [0, 1.3] Returns ------- int|float """ return self["smoothing"]
Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). The 'smoothing' property is a number and may be specified as: - An int or float in the interval [0, 1.3] Returns ------- int|float
smoothing
python
plotly/plotly.py
plotly/graph_objs/scatterternary/_line.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterternary/_line.py
MIT
def width(self): """ Sets the line width (in px). 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 line width (in px). 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/scatterternary/_line.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterternary/_line.py
MIT
def __init__( self, arg=None, backoff=None, backoffsrc=None, color=None, dash=None, shape=None, smoothing=None, width=None, **kwargs, ): """ Construct a new Line object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.scatterternary.Line` backoff Sets the line back off from the end point of the nth line segment (in px). This option is useful e.g. to avoid overlap with arrowhead markers. With "auto" the lines would trim before markers if `marker.angleref` is set to "previous". backoffsrc Sets the source reference on Chart Studio Cloud for `backoff`. color Sets the line color. dash 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"). shape Determines the line shape. With "spline" the lines are drawn using spline interpolation. The other available values correspond to step-wise line shapes. smoothing Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). width Sets the line width (in px). Returns ------- Line """ super(Line, self).__init__("line") 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.scatterternary.Line constructor must be a dict or an instance of :class:`plotly.graph_objs.scatterternary.Line`""" ) # 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("backoff", None) _v = backoff if backoff is not None else _v if _v is not None: self["backoff"] = _v _v = arg.pop("backoffsrc", None) _v = backoffsrc if backoffsrc is not None else _v if _v is not None: self["backoffsrc"] = _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("dash", None) _v = dash if dash is not None else _v if _v is not None: self["dash"] = _v _v = arg.pop("shape", None) _v = shape if shape is not None else _v if _v is not None: self["shape"] = _v _v = arg.pop("smoothing", None) _v = smoothing if smoothing is not None else _v if _v is not None: self["smoothing"] = _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 Line object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.scatterternary.Line` backoff Sets the line back off from the end point of the nth line segment (in px). This option is useful e.g. to avoid overlap with arrowhead markers. With "auto" the lines would trim before markers if `marker.angleref` is set to "previous". backoffsrc Sets the source reference on Chart Studio Cloud for `backoff`. color Sets the line color. dash 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"). shape Determines the line shape. With "spline" the lines are drawn using spline interpolation. The other available values correspond to step-wise line shapes. smoothing Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). width Sets the line width (in px). Returns ------- Line
__init__
python
plotly/plotly.py
plotly/graph_objs/scatterternary/_line.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterternary/_line.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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/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 axis' title font. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.layout.polar.r adialaxis.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.layout.polar.radialaxis.title.Font constructor must be a dict or an instance of :class:`plotly.graph_objs.layout.polar.radialaxis.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 axis' title font. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.layout.polar.r adialaxis.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/layout/polar/radialaxis/title/_font.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/layout/polar/radialaxis/title/_font.py
MIT
def color(self): """ Sets the marker color of selected points. 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 marker color of selected points. 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/barpolar/selected/_marker.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/barpolar/selected/_marker.py
MIT
def opacity(self): """ Sets the marker opacity of selected points. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"]
Sets the marker opacity of selected points. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float
opacity
python
plotly/plotly.py
plotly/graph_objs/barpolar/selected/_marker.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/barpolar/selected/_marker.py
MIT
def __init__(self, arg=None, color=None, opacity=None, **kwargs): """ Construct a new Marker object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.barpolar.selected.Marker` color Sets the marker color of selected points. opacity Sets the marker opacity of selected points. Returns ------- Marker """ super(Marker, self).__init__("marker") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.barpolar.selected.Marker constructor must be a dict or an instance of :class:`plotly.graph_objs.barpolar.selected.Marker`""" ) # 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("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False
Construct a new Marker object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.barpolar.selected.Marker` color Sets the marker color of selected points. opacity Sets the marker opacity of selected points. Returns ------- Marker
__init__
python
plotly/plotly.py
plotly/graph_objs/barpolar/selected/_marker.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/barpolar/selected/_marker.py
MIT
def alignmentgroup(self): """ Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. The 'alignmentgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["alignmentgroup"]
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. The 'alignmentgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
alignmentgroup
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def cliponaxis(self): """ Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. The 'cliponaxis' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["cliponaxis"]
Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. The 'cliponaxis' property must be specified as a bool (either True, or False) Returns ------- bool
cliponaxis
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def connectgaps(self): """ Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. The 'connectgaps' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["connectgaps"]
Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. The 'connectgaps' property must be specified as a bool (either True, or False) Returns ------- bool
connectgaps
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def customdata(self): """ Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"]
Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray
customdata
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"]
Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
customdatasrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def dx(self): """ Sets the x coordinate step. See `x0` for more info. The 'dx' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dx"]
Sets the x coordinate step. See `x0` for more info. The 'dx' property is a number and may be specified as: - An int or float Returns ------- int|float
dx
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def dy(self): """ Sets the y coordinate step. See `y0` for more info. The 'dy' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dy"]
Sets the y coordinate step. See `y0` for more info. The 'dy' property is a number and may be specified as: - An int or float Returns ------- int|float
dy
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def error_x(self): """ The 'error_x' property is an instance of ErrorX that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.ErrorX` - A dict of string/value properties that will be passed to the ErrorX constructor Supported dict properties: 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 ------- plotly.graph_objs.scatter.ErrorX """ return self["error_x"]
The 'error_x' property is an instance of ErrorX that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.ErrorX` - A dict of string/value properties that will be passed to the ErrorX constructor Supported dict properties: 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 ------- plotly.graph_objs.scatter.ErrorX
error_x
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def error_y(self): """ The 'error_y' property is an instance of ErrorY that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.ErrorY` - A dict of string/value properties that will be passed to the ErrorY constructor Supported dict properties: 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. 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 ------- plotly.graph_objs.scatter.ErrorY """ return self["error_y"]
The 'error_y' property is an instance of ErrorY that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.ErrorY` - A dict of string/value properties that will be passed to the ErrorY constructor Supported dict properties: 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. 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 ------- plotly.graph_objs.scatter.ErrorY
error_y
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def fill(self): """ Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill- linked traces are not already consecutive, the later ones will be pushed down in the drawing order. The 'fill' property is an enumeration that may be specified as: - One of the following enumeration values: ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx', 'toself', 'tonext'] Returns ------- Any """ return self["fill"]
Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill- linked traces are not already consecutive, the later ones will be pushed down in the drawing order. The 'fill' property is an enumeration that may be specified as: - One of the following enumeration values: ['none', 'tozeroy', 'tozerox', 'tonexty', 'tonextx', 'toself', 'tonext'] Returns ------- Any
fill
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def fillcolor(self): """ Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If fillgradient is specified, fillcolor is ignored except for setting the background color of the hover label, if any. The 'fillcolor' 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["fillcolor"]
Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If fillgradient is specified, fillcolor is ignored except for setting the background color of the hover label, if any. The 'fillcolor' 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
fillcolor
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def fillgradient(self): """ Sets a fill gradient. If not specified, the fillcolor is used instead. The 'fillgradient' property is an instance of Fillgradient that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Fillgradient` - A dict of string/value properties that will be passed to the Fillgradient constructor Supported dict properties: colorscale Sets the fill gradient colors as a color scale. The color scale is interpreted as a gradient applied in the direction specified by "orientation", from the lowest to the highest value of the scatter plot along that axis, or from the center to the most distant point from it, if orientation is "radial". start Sets the gradient start value. It is given as the absolute position on the axis determined by the orientiation. E.g., if orientation is "horizontal", the gradient will be horizontal and start from the x-position given by start. If omitted, the gradient starts at the lowest value of the trace along the respective axis. Ignored if orientation is "radial". stop Sets the gradient end value. It is given as the absolute position on the axis determined by the orientiation. E.g., if orientation is "horizontal", the gradient will be horizontal and end at the x-position given by end. If omitted, the gradient ends at the highest value of the trace along the respective axis. Ignored if orientation is "radial". type Sets the type/orientation of the color gradient for the fill. Defaults to "none". Returns ------- plotly.graph_objs.scatter.Fillgradient """ return self["fillgradient"]
Sets a fill gradient. If not specified, the fillcolor is used instead. The 'fillgradient' property is an instance of Fillgradient that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Fillgradient` - A dict of string/value properties that will be passed to the Fillgradient constructor Supported dict properties: colorscale Sets the fill gradient colors as a color scale. The color scale is interpreted as a gradient applied in the direction specified by "orientation", from the lowest to the highest value of the scatter plot along that axis, or from the center to the most distant point from it, if orientation is "radial". start Sets the gradient start value. It is given as the absolute position on the axis determined by the orientiation. E.g., if orientation is "horizontal", the gradient will be horizontal and start from the x-position given by start. If omitted, the gradient starts at the lowest value of the trace along the respective axis. Ignored if orientation is "radial". stop Sets the gradient end value. It is given as the absolute position on the axis determined by the orientiation. E.g., if orientation is "horizontal", the gradient will be horizontal and end at the x-position given by end. If omitted, the gradient ends at the highest value of the trace along the respective axis. Ignored if orientation is "radial". type Sets the type/orientation of the color gradient for the fill. Defaults to "none". Returns ------- plotly.graph_objs.scatter.Fillgradient
fillgradient
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def fillpattern(self): """ Sets the pattern within the marker. The 'fillpattern' property is an instance of Fillpattern that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Fillpattern` - A dict of string/value properties that will be passed to the Fillpattern constructor Supported dict properties: bgcolor When there is no colorscale sets the color of background pattern fill. Defaults to a `marker.color` background when `fillmode` is "overlay". Otherwise, defaults to a transparent background. bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. fgcolor When there is no colorscale sets the color of foreground pattern fill. Defaults to a `marker.color` background when `fillmode` is "replace". Otherwise, defaults to dark grey or white to increase contrast with the `bgcolor`. fgcolorsrc Sets the source reference on Chart Studio Cloud for `fgcolor`. fgopacity Sets the opacity of the foreground pattern fill. Defaults to a 0.5 when `fillmode` is "overlay". Otherwise, defaults to 1. fillmode Determines whether `marker.color` should be used as a default to `bgcolor` or a `fgcolor`. shape Sets the shape of the pattern fill. By default, no pattern is used for filling the area. shapesrc Sets the source reference on Chart Studio Cloud for `shape`. size Sets the size of unit squares of the pattern fill in pixels, which corresponds to the interval of repetition of the pattern. sizesrc Sets the source reference on Chart Studio Cloud for `size`. solidity Sets the solidity of the pattern fill. Solidity is roughly the fraction of the area filled by the pattern. Solidity of 0 shows only the background color without pattern and solidty of 1 shows only the foreground color without pattern. soliditysrc Sets the source reference on Chart Studio Cloud for `solidity`. Returns ------- plotly.graph_objs.scatter.Fillpattern """ return self["fillpattern"]
Sets the pattern within the marker. The 'fillpattern' property is an instance of Fillpattern that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Fillpattern` - A dict of string/value properties that will be passed to the Fillpattern constructor Supported dict properties: bgcolor When there is no colorscale sets the color of background pattern fill. Defaults to a `marker.color` background when `fillmode` is "overlay". Otherwise, defaults to a transparent background. bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. fgcolor When there is no colorscale sets the color of foreground pattern fill. Defaults to a `marker.color` background when `fillmode` is "replace". Otherwise, defaults to dark grey or white to increase contrast with the `bgcolor`. fgcolorsrc Sets the source reference on Chart Studio Cloud for `fgcolor`. fgopacity Sets the opacity of the foreground pattern fill. Defaults to a 0.5 when `fillmode` is "overlay". Otherwise, defaults to 1. fillmode Determines whether `marker.color` should be used as a default to `bgcolor` or a `fgcolor`. shape Sets the shape of the pattern fill. By default, no pattern is used for filling the area. shapesrc Sets the source reference on Chart Studio Cloud for `shape`. size Sets the size of unit squares of the pattern fill in pixels, which corresponds to the interval of repetition of the pattern. sizesrc Sets the source reference on Chart Studio Cloud for `size`. solidity Sets the solidity of the pattern fill. Solidity is roughly the fraction of the area filled by the pattern. Solidity of 0 shows only the background color without pattern and solidty of 1 shows only the foreground color without pattern. soliditysrc Sets the source reference on Chart Studio Cloud for `solidity`. Returns ------- plotly.graph_objs.scatter.Fillpattern
fillpattern
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def groupnorm(self): """ Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set. The 'groupnorm' property is an enumeration that may be specified as: - One of the following enumeration values: ['', 'fraction', 'percent'] Returns ------- Any """ return self["groupnorm"]
Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set. The 'groupnorm' property is an enumeration that may be specified as: - One of the following enumeration values: ['', 'fraction', 'percent'] Returns ------- Any
groupnorm
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hoverinfo(self): """ Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"]
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray
hoverinfo
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"]
Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
hoverinfosrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on Chart Studio Cloud for `align`. bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on Chart Studio Cloud for `bordercolor`. font Sets the font used in hover labels. namelength Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on Chart Studio Cloud for `namelength`. Returns ------- plotly.graph_objs.scatter.Hoverlabel """ return self["hoverlabel"]
The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on Chart Studio Cloud for `align`. bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on Chart Studio Cloud for `bordercolor`. font Sets the font used in hover labels. namelength Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on Chart Studio Cloud for `namelength`. Returns ------- plotly.graph_objs.scatter.Hoverlabel
hoverlabel
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hoveron(self): """ Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". The 'hoveron' property is a flaglist and may be specified as a string containing: - Any combination of ['points', 'fills'] joined with '+' characters (e.g. 'points+fills') Returns ------- Any """ return self["hoveron"]
Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". The 'hoveron' property is a flaglist and may be specified as a string containing: - Any combination of ['points', 'fills'] joined with '+' characters (e.g. 'points+fills') Returns ------- Any
hoveron
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"]
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray
hovertemplate
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"]
Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
hovertemplatesrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hovertext(self): """ Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"]
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray
hovertext
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"]
Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
hovertextsrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def ids(self): """ Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"]
Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray
ids
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"]
Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
idssrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def legend(self): """ Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"]
Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str
legend
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def legendgroup(self): """ Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"]
Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
legendgroup
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Supported dict properties: font Sets this legend group's title font. text Sets the title of the legend group. Returns ------- plotly.graph_objs.scatter.Legendgrouptitle """ return self["legendgrouptitle"]
The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Supported dict properties: font Sets this legend group's title font. text Sets the title of the legend group. Returns ------- plotly.graph_objs.scatter.Legendgrouptitle
legendgrouptitle
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def legendrank(self): """ Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"]
Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float
legendrank
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"]
Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float
legendwidth
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def line(self): """ The 'line' property is an instance of Line that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Line` - A dict of string/value properties that will be passed to the Line constructor Supported dict properties: backoff Sets the line back off from the end point of the nth line segment (in px). This option is useful e.g. to avoid overlap with arrowhead markers. With "auto" the lines would trim before markers if `marker.angleref` is set to "previous". backoffsrc Sets the source reference on Chart Studio Cloud for `backoff`. color Sets the line color. dash 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"). shape Determines the line shape. With "spline" the lines are drawn using spline interpolation. The other available values correspond to step-wise line shapes. simplify Simplifies lines by removing nearly-collinear points. When transitioning lines, it may be desirable to disable this so that the number of points along the resulting SVG path is unaffected. smoothing Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). width Sets the line width (in px). Returns ------- plotly.graph_objs.scatter.Line """ return self["line"]
The 'line' property is an instance of Line that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Line` - A dict of string/value properties that will be passed to the Line constructor Supported dict properties: backoff Sets the line back off from the end point of the nth line segment (in px). This option is useful e.g. to avoid overlap with arrowhead markers. With "auto" the lines would trim before markers if `marker.angleref` is set to "previous". backoffsrc Sets the source reference on Chart Studio Cloud for `backoff`. color Sets the line color. dash 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"). shape Determines the line shape. With "spline" the lines are drawn using spline interpolation. The other available values correspond to step-wise line shapes. simplify Simplifies lines by removing nearly-collinear points. When transitioning lines, it may be desirable to disable this so that the number of points along the resulting SVG path is unaffected. smoothing Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. 0 corresponds to no smoothing (equivalent to a "linear" shape). width Sets the line width (in px). Returns ------- plotly.graph_objs.scatter.Line
line
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.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.scatter.Marker` - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: angle Sets the marker angle in respect to `angleref`. angleref Sets the reference for marker angle. With "previous", angle 0 points along the line from the previous point to this one. With "up", angle 0 points toward the top of the screen. anglesrc Sets the source reference on Chart Studio Cloud for `angle`. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color` is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color` is set to a numerical array. Defaults to `false` when `marker.cmin` and `marker.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well. color Sets the marker color. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.scatter.marker.Col orBar` instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `marker.color` is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,Cividis,Earth,Electric, Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd Bu,Reds,Viridis,YlGnBu,YlOrRd. colorsrc Sets the source reference on Chart Studio Cloud for `color`. gradient :class:`plotly.graph_objects.scatter.marker.Gra dient` instance or dict with compatible properties line :class:`plotly.graph_objects.scatter.marker.Lin e` instance or dict with compatible properties maxdisplayed Sets a maximum number of points to be drawn on the graph. 0 corresponds to no limit. opacity Sets the marker opacity. opacitysrc Sets the source reference on Chart Studio Cloud for `opacity`. reversescale Reverses the color mapping if true. Has an effect only if in `marker.color` is set to a numerical array. If true, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color. showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color` is set to a numerical array. size Sets the marker size (in px). sizemin Has an effect only if `marker.size` is set to a numerical array. Sets the minimum size (in px) of the rendered marker points. sizemode Has an effect only if `marker.size` is set to a numerical array. Sets the rule for which the data in `size` is converted to pixels. sizeref Has an effect only if `marker.size` is set to a numerical array. Sets the scale factor used to determine the rendered size of marker points. Use with `sizemin` and `sizemode`. sizesrc Sets the source reference on Chart Studio Cloud for `size`. standoff Moves the marker away from the data point in the direction of `angle` (in px). This can be useful for example if you have another marker at this location and you want to point an arrowhead marker at it. standoffsrc Sets the source reference on Chart Studio Cloud for `standoff`. symbol Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot- open" to a symbol name. symbolsrc Sets the source reference on Chart Studio Cloud for `symbol`. Returns ------- plotly.graph_objs.scatter.Marker """ return self["marker"]
The 'marker' property is an instance of Marker that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Marker` - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: angle Sets the marker angle in respect to `angleref`. angleref Sets the reference for marker angle. With "previous", angle 0 points along the line from the previous point to this one. With "up", angle 0 points toward the top of the screen. anglesrc Sets the source reference on Chart Studio Cloud for `angle`. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color` is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color` is set to a numerical array. Defaults to `false` when `marker.cmin` and `marker.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.color` is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well. color Sets the marker color. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.scatter.marker.Col orBar` instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `marker.color` is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,Cividis,Earth,Electric, Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd Bu,Reds,Viridis,YlGnBu,YlOrRd. colorsrc Sets the source reference on Chart Studio Cloud for `color`. gradient :class:`plotly.graph_objects.scatter.marker.Gra dient` instance or dict with compatible properties line :class:`plotly.graph_objects.scatter.marker.Lin e` instance or dict with compatible properties maxdisplayed Sets a maximum number of points to be drawn on the graph. 0 corresponds to no limit. opacity Sets the marker opacity. opacitysrc Sets the source reference on Chart Studio Cloud for `opacity`. reversescale Reverses the color mapping if true. Has an effect only if in `marker.color` is set to a numerical array. If true, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color. showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color` is set to a numerical array. size Sets the marker size (in px). sizemin Has an effect only if `marker.size` is set to a numerical array. Sets the minimum size (in px) of the rendered marker points. sizemode Has an effect only if `marker.size` is set to a numerical array. Sets the rule for which the data in `size` is converted to pixels. sizeref Has an effect only if `marker.size` is set to a numerical array. Sets the scale factor used to determine the rendered size of marker points. Use with `sizemin` and `sizemode`. sizesrc Sets the source reference on Chart Studio Cloud for `size`. standoff Moves the marker away from the data point in the direction of `angle` (in px). This can be useful for example if you have another marker at this location and you want to point an arrowhead marker at it. standoffsrc Sets the source reference on Chart Studio Cloud for `standoff`. symbol Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot- open" to a symbol name. symbolsrc Sets the source reference on Chart Studio Cloud for `symbol`. Returns ------- plotly.graph_objs.scatter.Marker
marker
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def meta(self): """ Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"]
Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray
meta
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"]
Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
metasrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def mode(self): """ Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". The 'mode' property is a flaglist and may be specified as a string containing: - Any combination of ['lines', 'markers', 'text'] joined with '+' characters (e.g. 'lines+markers') OR exactly one of ['none'] (e.g. 'none') Returns ------- Any """ return self["mode"]
Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". The 'mode' property is a flaglist and may be specified as a string containing: - Any combination of ['lines', 'markers', 'text'] joined with '+' characters (e.g. 'lines+markers') OR exactly one of ['none'] (e.g. 'none') Returns ------- Any
mode
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"]
Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
name
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def offsetgroup(self): """ Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. The 'offsetgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["offsetgroup"]
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. The 'offsetgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
offsetgroup
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"]
Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float
opacity
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def orientation(self): """ Only relevant in the following cases: 1. when `scattermode` is set to "group". 2. when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`. The 'orientation' property is an enumeration that may be specified as: - One of the following enumeration values: ['v', 'h'] Returns ------- Any """ return self["orientation"]
Only relevant in the following cases: 1. when `scattermode` is set to "group". 2. when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`. The 'orientation' property is an enumeration that may be specified as: - One of the following enumeration values: ['v', 'h'] Returns ------- Any
orientation
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def selected(self): """ The 'selected' property is an instance of Selected that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Selected` - A dict of string/value properties that will be passed to the Selected constructor Supported dict properties: marker :class:`plotly.graph_objects.scatter.selected.M arker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.scatter.selected.T extfont` instance or dict with compatible properties Returns ------- plotly.graph_objs.scatter.Selected """ return self["selected"]
The 'selected' property is an instance of Selected that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Selected` - A dict of string/value properties that will be passed to the Selected constructor Supported dict properties: marker :class:`plotly.graph_objects.scatter.selected.M arker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.scatter.selected.T extfont` instance or dict with compatible properties Returns ------- plotly.graph_objs.scatter.Selected
selected
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def selectedpoints(self): """ Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. The 'selectedpoints' property accepts values of any type Returns ------- Any """ return self["selectedpoints"]
Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. The 'selectedpoints' property accepts values of any type Returns ------- Any
selectedpoints
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"]
Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool
showlegend
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def stackgaps(self): """ Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Determines how we handle locations at which other traces in this group have data but this one does not. With *infer zero* we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values. The 'stackgaps' property is an enumeration that may be specified as: - One of the following enumeration values: ['infer zero', 'interpolate'] Returns ------- Any """ return self["stackgaps"]
Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Determines how we handle locations at which other traces in this group have data but this one does not. With *infer zero* we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values. The 'stackgaps' property is an enumeration that may be specified as: - One of the following enumeration values: ['infer zero', 'interpolate'] Returns ------- Any
stackgaps
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def stackgroup(self): """ Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. The 'stackgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["stackgroup"]
Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. The 'stackgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
stackgroup
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Stream` - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: 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 ------- plotly.graph_objs.scatter.Stream """ return self["stream"]
The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Stream` - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: 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 ------- plotly.graph_objs.scatter.Stream
stream
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def text(self): """ Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["text"]
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray
text
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def textfont(self): """ Sets the text font. The 'textfont' property is an instance of Textfont that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Textfont` - A dict of string/value properties that will be passed to the Textfont constructor Supported dict properties: color colorsrc Sets the source reference on Chart Studio Cloud for `color`. family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for `family`. lineposition Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc. linepositionsrc Sets the source reference on Chart Studio Cloud for `lineposition`. shadow Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en- US/docs/Web/CSS/text-shadow for additional options. shadowsrc Sets the source reference on Chart Studio Cloud for `shadow`. size sizesrc Sets the source reference on Chart Studio Cloud for `size`. style Sets whether a font should be styled with a normal or italic face from its family. stylesrc Sets the source reference on Chart Studio Cloud for `style`. textcase Sets capitalization of text. It can be used to make text appear in all-uppercase or all- lowercase, or with each word capitalized. textcasesrc Sets the source reference on Chart Studio Cloud for `textcase`. variant Sets the variant of the font. variantsrc Sets the source reference on Chart Studio Cloud for `variant`. weight Sets the weight (or boldness) of the font. weightsrc Sets the source reference on Chart Studio Cloud for `weight`. Returns ------- plotly.graph_objs.scatter.Textfont """ return self["textfont"]
Sets the text font. The 'textfont' property is an instance of Textfont that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Textfont` - A dict of string/value properties that will be passed to the Textfont constructor Supported dict properties: color colorsrc Sets the source reference on Chart Studio Cloud for `color`. family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for `family`. lineposition Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc. linepositionsrc Sets the source reference on Chart Studio Cloud for `lineposition`. shadow Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en- US/docs/Web/CSS/text-shadow for additional options. shadowsrc Sets the source reference on Chart Studio Cloud for `shadow`. size sizesrc Sets the source reference on Chart Studio Cloud for `size`. style Sets whether a font should be styled with a normal or italic face from its family. stylesrc Sets the source reference on Chart Studio Cloud for `style`. textcase Sets capitalization of text. It can be used to make text appear in all-uppercase or all- lowercase, or with each word capitalized. textcasesrc Sets the source reference on Chart Studio Cloud for `textcase`. variant Sets the variant of the font. variantsrc Sets the source reference on Chart Studio Cloud for `variant`. weight Sets the weight (or boldness) of the font. weightsrc Sets the source reference on Chart Studio Cloud for `weight`. Returns ------- plotly.graph_objs.scatter.Textfont
textfont
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def textposition(self): """ Sets the positions of the `text` elements with respects to the (x,y) coordinates. The 'textposition' property is an enumeration that may be specified as: - One of the following enumeration values: ['top left', 'top center', 'top right', 'middle left', 'middle center', 'middle right', 'bottom left', 'bottom center', 'bottom right'] - A tuple, list, or one-dimensional numpy array of the above Returns ------- Any|numpy.ndarray """ return self["textposition"]
Sets the positions of the `text` elements with respects to the (x,y) coordinates. The 'textposition' property is an enumeration that may be specified as: - One of the following enumeration values: ['top left', 'top center', 'top right', 'middle left', 'middle center', 'middle right', 'bottom left', 'bottom center', 'bottom right'] - A tuple, list, or one-dimensional numpy array of the above Returns ------- Any|numpy.ndarray
textposition
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def textpositionsrc(self): """ Sets the source reference on Chart Studio Cloud for `textposition`. The 'textpositionsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textpositionsrc"]
Sets the source reference on Chart Studio Cloud for `textposition`. The 'textpositionsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
textpositionsrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"]
Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
textsrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def texttemplate(self): """ Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per- point (the ones that are `arrayOk: true`) are available. The 'texttemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["texttemplate"]
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per- point (the ones that are `arrayOk: true`) are available. The 'texttemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray
texttemplate
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def texttemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `texttemplate`. The 'texttemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["texttemplatesrc"]
Sets the source reference on Chart Studio Cloud for `texttemplate`. The 'texttemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
texttemplatesrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"]
Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
uid
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def uirevision(self): """ Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"]
Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any
uirevision
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def unselected(self): """ The 'unselected' property is an instance of Unselected that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Unselected` - A dict of string/value properties that will be passed to the Unselected constructor Supported dict properties: marker :class:`plotly.graph_objects.scatter.unselected .Marker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.scatter.unselected .Textfont` instance or dict with compatible properties Returns ------- plotly.graph_objs.scatter.Unselected """ return self["unselected"]
The 'unselected' property is an instance of Unselected that may be specified as: - An instance of :class:`plotly.graph_objs.scatter.Unselected` - A dict of string/value properties that will be passed to the Unselected constructor Supported dict properties: marker :class:`plotly.graph_objects.scatter.unselected .Marker` instance or dict with compatible properties textfont :class:`plotly.graph_objects.scatter.unselected .Textfont` instance or dict with compatible properties Returns ------- plotly.graph_objs.scatter.Unselected
unselected
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def visible(self): """ Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"]
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any
visible
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def x(self): """ Sets the x coordinates. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"]
Sets the x coordinates. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray
x
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def x0(self): """ Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. The 'x0' property accepts values of any type Returns ------- Any """ return self["x0"]
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. The 'x0' property accepts values of any type Returns ------- Any
x0
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xaxis(self): """ Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str """ return self["xaxis"]
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str
xaxis
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xcalendar(self): """ Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["xcalendar"]
Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any
xcalendar
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xhoverformat(self): """ Sets the hover text formatting rulefor `x` 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*By default the values are formatted using `xaxis.hoverformat`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["xhoverformat"]
Sets the hover text formatting rulefor `x` 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*By default the values are formatted using `xaxis.hoverformat`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
xhoverformat
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'xperiod' property accepts values of any type Returns ------- Any """ return self["xperiod"]
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'xperiod' property accepts values of any type Returns ------- Any
xperiod
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'xperiod0' property accepts values of any type Returns ------- Any """ return self["xperiod0"]
Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'xperiod0' property accepts values of any type Returns ------- Any
xperiod0
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. The 'xperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["xperiodalignment"]
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. The 'xperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any
xperiodalignment
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"]
Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
xsrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def y(self): """ Sets the y coordinates. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"]
Sets the y coordinates. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray
y
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def y0(self): """ Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. The 'y0' property accepts values of any type Returns ------- Any """ return self["y0"]
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. The 'y0' property accepts values of any type Returns ------- Any
y0
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def yaxis(self): """ Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str """ return self["yaxis"]
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str
yaxis
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def ycalendar(self): """ Sets the calendar system to use with `y` date data. The 'ycalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["ycalendar"]
Sets the calendar system to use with `y` date data. The 'ycalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any
ycalendar
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def yhoverformat(self): """ Sets the hover text formatting rulefor `y` 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*By default the values are formatted using `yaxis.hoverformat`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["yhoverformat"]
Sets the hover text formatting rulefor `y` 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*By default the values are formatted using `yaxis.hoverformat`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str
yhoverformat
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def yperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'yperiod' property accepts values of any type Returns ------- Any """ return self["yperiod"]
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'yperiod' property accepts values of any type Returns ------- Any
yperiod
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def yperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'yperiod0' property accepts values of any type Returns ------- Any """ return self["yperiod0"]
Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'yperiod0' property accepts values of any type Returns ------- Any
yperiod0
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def yperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. The 'yperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["yperiodalignment"]
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. The 'yperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any
yperiodalignment
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"]
Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str
ysrc
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def zorder(self): """ Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. The 'zorder' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int """ return self["zorder"]
Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. The 'zorder' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int
zorder
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.py
MIT
def __init__( self, arg=None, alignmentgroup=None, cliponaxis=None, connectgaps=None, customdata=None, customdatasrc=None, dx=None, dy=None, error_x=None, error_y=None, fill=None, fillcolor=None, fillgradient=None, fillpattern=None, groupnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, offsetgroup=None, opacity=None, orientation=None, selected=None, selectedpoints=None, showlegend=None, stackgaps=None, stackgroup=None, stream=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, **kwargs, ): """ Construct a new Scatter object The scatter trace type encompasses line charts, scatter charts, text charts, and bubble charts. The data visualized as scatter point or lines is set in `x` and `y`. Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Scatter` alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. error_x :class:`plotly.graph_objects.scatter.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.scatter.ErrorY` instance or dict with compatible properties fill Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If fillgradient is specified, fillcolor is ignored except for setting the background color of the hover label, if any. fillgradient Sets a fill gradient. If not specified, the fillcolor is used instead. fillpattern Sets the pattern within the marker. groupnorm Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatter.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatter.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatter.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatter.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Only relevant in the following cases: 1. when `scattermode` is set to "group". 2. when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`. selected :class:`plotly.graph_objects.scatter.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stackgaps Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Determines how we handle locations at which other traces in this group have data but this one does not. With *infer zero* we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values. stackgroup Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. stream :class:`plotly.graph_objects.scatter.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatter.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` 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*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` 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*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. Returns ------- Scatter """ super(Scatter, self).__init__("scatter") 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.Scatter constructor must be a dict or an instance of :class:`plotly.graph_objs.Scatter`""" ) # 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("alignmentgroup", None) _v = alignmentgroup if alignmentgroup is not None else _v if _v is not None: self["alignmentgroup"] = _v _v = arg.pop("cliponaxis", None) _v = cliponaxis if cliponaxis is not None else _v if _v is not None: self["cliponaxis"] = _v _v = arg.pop("connectgaps", None) _v = connectgaps if connectgaps is not None else _v if _v is not None: self["connectgaps"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("dx", None) _v = dx if dx is not None else _v if _v is not None: self["dx"] = _v _v = arg.pop("dy", None) _v = dy if dy is not None else _v if _v is not None: self["dy"] = _v _v = arg.pop("error_x", None) _v = error_x if error_x is not None else _v if _v is not None: self["error_x"] = _v _v = arg.pop("error_y", None) _v = error_y if error_y is not None else _v if _v is not None: self["error_y"] = _v _v = arg.pop("fill", None) _v = fill if fill is not None else _v if _v is not None: self["fill"] = _v _v = arg.pop("fillcolor", None) _v = fillcolor if fillcolor is not None else _v if _v is not None: self["fillcolor"] = _v _v = arg.pop("fillgradient", None) _v = fillgradient if fillgradient is not None else _v if _v is not None: self["fillgradient"] = _v _v = arg.pop("fillpattern", None) _v = fillpattern if fillpattern is not None else _v if _v is not None: self["fillpattern"] = _v _v = arg.pop("groupnorm", None) _v = groupnorm if groupnorm is not None else _v if _v is not None: self["groupnorm"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hoveron", None) _v = hoveron if hoveron is not None else _v if _v is not None: self["hoveron"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("legend", None) _v = legend if legend is not None else _v if _v is not None: self["legend"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("legendwidth", None) _v = legendwidth if legendwidth is not None else _v if _v is not None: self["legendwidth"] = _v _v = arg.pop("line", None) _v = line if line is not None else _v if _v is not None: self["line"] = _v _v = arg.pop("marker", None) _v = marker if marker is not None else _v if _v is not None: self["marker"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("mode", None) _v = mode if mode is not None else _v if _v is not None: self["mode"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("offsetgroup", None) _v = offsetgroup if offsetgroup is not None else _v if _v is not None: self["offsetgroup"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("orientation", None) _v = orientation if orientation is not None else _v if _v is not None: self["orientation"] = _v _v = arg.pop("selected", None) _v = selected if selected is not None else _v if _v is not None: self["selected"] = _v _v = arg.pop("selectedpoints", None) _v = selectedpoints if selectedpoints is not None else _v if _v is not None: self["selectedpoints"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("stackgaps", None) _v = stackgaps if stackgaps is not None else _v if _v is not None: self["stackgaps"] = _v _v = arg.pop("stackgroup", None) _v = stackgroup if stackgroup is not None else _v if _v is not None: self["stackgroup"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textfont", None) _v = textfont if textfont is not None else _v if _v is not None: self["textfont"] = _v _v = arg.pop("textposition", None) _v = textposition if textposition is not None else _v if _v is not None: self["textposition"] = _v _v = arg.pop("textpositionsrc", None) _v = textpositionsrc if textpositionsrc is not None else _v if _v is not None: self["textpositionsrc"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("texttemplate", None) _v = texttemplate if texttemplate is not None else _v if _v is not None: self["texttemplate"] = _v _v = arg.pop("texttemplatesrc", None) _v = texttemplatesrc if texttemplatesrc is not None else _v if _v is not None: self["texttemplatesrc"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("unselected", None) _v = unselected if unselected is not None else _v if _v is not None: self["unselected"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("x0", None) _v = x0 if x0 is not None else _v if _v is not None: self["x0"] = _v _v = arg.pop("xaxis", None) _v = xaxis if xaxis is not None else _v if _v is not None: self["xaxis"] = _v _v = arg.pop("xcalendar", None) _v = xcalendar if xcalendar is not None else _v if _v is not None: self["xcalendar"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xperiod", None) _v = xperiod if xperiod is not None else _v if _v is not None: self["xperiod"] = _v _v = arg.pop("xperiod0", None) _v = xperiod0 if xperiod0 is not None else _v if _v is not None: self["xperiod0"] = _v _v = arg.pop("xperiodalignment", None) _v = xperiodalignment if xperiodalignment is not None else _v if _v is not None: self["xperiodalignment"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _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("y0", None) _v = y0 if y0 is not None else _v if _v is not None: self["y0"] = _v _v = arg.pop("yaxis", None) _v = yaxis if yaxis is not None else _v if _v is not None: self["yaxis"] = _v _v = arg.pop("ycalendar", None) _v = ycalendar if ycalendar is not None else _v if _v is not None: self["ycalendar"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("yperiod", None) _v = yperiod if yperiod is not None else _v if _v is not None: self["yperiod"] = _v _v = arg.pop("yperiod0", None) _v = yperiod0 if yperiod0 is not None else _v if _v is not None: self["yperiod0"] = _v _v = arg.pop("yperiodalignment", None) _v = yperiodalignment if yperiodalignment is not None else _v if _v is not None: self["yperiodalignment"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v _v = arg.pop("zorder", None) _v = zorder if zorder is not None else _v if _v is not None: self["zorder"] = _v # Read-only literals # ------------------ self._props["type"] = "scatter" arg.pop("type", None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False
Construct a new Scatter object The scatter trace type encompasses line charts, scatter charts, text charts, and bubble charts. The data visualized as scatter point or lines is set in `x` and `y`. Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Scatter` alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. error_x :class:`plotly.graph_objects.scatter.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.scatter.ErrorY` instance or dict with compatible properties fill Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If fillgradient is specified, fillcolor is ignored except for setting the background color of the hover label, if any. fillgradient Sets a fill gradient. If not specified, the fillcolor is used instead. fillpattern Sets the pattern within the marker. groupnorm Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatter.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatter.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatter.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatter.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Only relevant in the following cases: 1. when `scattermode` is set to "group". 2. when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`. selected :class:`plotly.graph_objects.scatter.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stackgaps Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Determines how we handle locations at which other traces in this group have data but this one does not. With *infer zero* we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values. stackgroup Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. stream :class:`plotly.graph_objects.scatter.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatter.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` 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*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` 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*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. Returns ------- Scatter
__init__
python
plotly/plotly.py
plotly/graph_objs/_scatter.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/_scatter.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/scatterpolargl/_stream.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterpolargl/_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/scatterpolargl/_stream.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterpolargl/_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.scatterpolargl.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.scatterpolargl.Stream constructor must be a dict or an instance of :class:`plotly.graph_objs.scatterpolargl.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.scatterpolargl.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/scatterpolargl/_stream.py
https://github.com/plotly/plotly.py/blob/master/plotly/graph_objs/scatterpolargl/_stream.py
MIT
def open_figure(self, fig, props): """ Begin commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The Figure which will contain the ensuing axes and elements props : dictionary The dictionary of figure properties """ pass
Begin commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The Figure which will contain the ensuing axes and elements props : dictionary The dictionary of figure properties
open_figure
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT
def close_figure(self, fig): """ Finish commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The figure which is finished being drawn. """ pass
Finish commands for a particular figure. Parameters ---------- fig : matplotlib.Figure The figure which is finished being drawn.
close_figure
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT
def open_axes(self, ax, props): """ Begin commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which will contain the ensuing axes and elements props : dictionary The dictionary of axes properties """ pass
Begin commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which will contain the ensuing axes and elements props : dictionary The dictionary of axes properties
open_axes
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT
def close_axes(self, ax): """ Finish commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which is finished being drawn. """ pass
Finish commands for a particular axes. Parameters ---------- ax : matplotlib.Axes The Axes which is finished being drawn.
close_axes
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT
def open_legend(self, legend, props): """ Beging commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend that will contain the ensuing elements props : dictionary The dictionary of legend properties """ pass
Beging commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend that will contain the ensuing elements props : dictionary The dictionary of legend properties
open_legend
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT
def close_legend(self, legend): """ Finish commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend which is finished being drawn """ pass
Finish commands for a particular legend. Parameters ---------- legend : matplotlib.legend.Legend The Legend which is finished being drawn
close_legend
python
plotly/plotly.py
plotly/matplotlylib/mplexporter/renderers/base.py
https://github.com/plotly/plotly.py/blob/master/plotly/matplotlylib/mplexporter/renderers/base.py
MIT