import _plotly_utils.basevalidators class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="symbolsrc", parent_name="scattergl.marker", **kwargs ): super(SymbolsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator): def __init__(self, plotly_name="symbol", parent_name="scattergl.marker", **kwargs): super(SymbolValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), values=kwargs.pop( "values", [ 0, "circle", 100, "circle-open", 200, "circle-dot", 300, "circle-open-dot", 1, "square", 101, "square-open", 201, "square-dot", 301, "square-open-dot", 2, "diamond", 102, "diamond-open", 202, "diamond-dot", 302, "diamond-open-dot", 3, "cross", 103, "cross-open", 203, "cross-dot", 303, "cross-open-dot", 4, "x", 104, "x-open", 204, "x-dot", 304, "x-open-dot", 5, "triangle-up", 105, "triangle-up-open", 205, "triangle-up-dot", 305, "triangle-up-open-dot", 6, "triangle-down", 106, "triangle-down-open", 206, "triangle-down-dot", 306, "triangle-down-open-dot", 7, "triangle-left", 107, "triangle-left-open", 207, "triangle-left-dot", 307, "triangle-left-open-dot", 8, "triangle-right", 108, "triangle-right-open", 208, "triangle-right-dot", 308, "triangle-right-open-dot", 9, "triangle-ne", 109, "triangle-ne-open", 209, "triangle-ne-dot", 309, "triangle-ne-open-dot", 10, "triangle-se", 110, "triangle-se-open", 210, "triangle-se-dot", 310, "triangle-se-open-dot", 11, "triangle-sw", 111, "triangle-sw-open", 211, "triangle-sw-dot", 311, "triangle-sw-open-dot", 12, "triangle-nw", 112, "triangle-nw-open", 212, "triangle-nw-dot", 312, "triangle-nw-open-dot", 13, "pentagon", 113, "pentagon-open", 213, "pentagon-dot", 313, "pentagon-open-dot", 14, "hexagon", 114, "hexagon-open", 214, "hexagon-dot", 314, "hexagon-open-dot", 15, "hexagon2", 115, "hexagon2-open", 215, "hexagon2-dot", 315, "hexagon2-open-dot", 16, "octagon", 116, "octagon-open", 216, "octagon-dot", 316, "octagon-open-dot", 17, "star", 117, "star-open", 217, "star-dot", 317, "star-open-dot", 18, "hexagram", 118, "hexagram-open", 218, "hexagram-dot", 318, "hexagram-open-dot", 19, "star-triangle-up", 119, "star-triangle-up-open", 219, "star-triangle-up-dot", 319, "star-triangle-up-open-dot", 20, "star-triangle-down", 120, "star-triangle-down-open", 220, "star-triangle-down-dot", 320, "star-triangle-down-open-dot", 21, "star-square", 121, "star-square-open", 221, "star-square-dot", 321, "star-square-open-dot", 22, "star-diamond", 122, "star-diamond-open", 222, "star-diamond-dot", 322, "star-diamond-open-dot", 23, "diamond-tall", 123, "diamond-tall-open", 223, "diamond-tall-dot", 323, "diamond-tall-open-dot", 24, "diamond-wide", 124, "diamond-wide-open", 224, "diamond-wide-dot", 324, "diamond-wide-open-dot", 25, "hourglass", 125, "hourglass-open", 26, "bowtie", 126, "bowtie-open", 27, "circle-cross", 127, "circle-cross-open", 28, "circle-x", 128, "circle-x-open", 29, "square-cross", 129, "square-cross-open", 30, "square-x", 130, "square-x-open", 31, "diamond-cross", 131, "diamond-cross-open", 32, "diamond-x", 132, "diamond-x-open", 33, "cross-thin", 133, "cross-thin-open", 34, "x-thin", 134, "x-thin-open", 35, "asterisk", 135, "asterisk-open", 36, "hash", 136, "hash-open", 236, "hash-dot", 336, "hash-open-dot", 37, "y-up", 137, "y-up-open", 38, "y-down", 138, "y-down-open", 39, "y-left", 139, "y-left-open", 40, "y-right", 140, "y-right-open", 41, "line-ew", 141, "line-ew-open", 42, "line-ns", 142, "line-ns-open", 43, "line-ne", 143, "line-ne-open", 44, "line-nw", 144, "line-nw-open", ], ), **kwargs ) import _plotly_utils.basevalidators class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__(self, plotly_name="sizesrc", parent_name="scattergl.marker", **kwargs): super(SizesrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class SizerefValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="sizeref", parent_name="scattergl.marker", **kwargs): super(SizerefValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator): def __init__( self, plotly_name="sizemode", parent_name="scattergl.marker", **kwargs ): super(SizemodeValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "info"), values=kwargs.pop("values", ["diameter", "area"]), **kwargs ) import _plotly_utils.basevalidators class SizeminValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="sizemin", parent_name="scattergl.marker", **kwargs): super(SizeminValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), min=kwargs.pop("min", 0), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class SizeValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="size", parent_name="scattergl.marker", **kwargs): super(SizeValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), min=kwargs.pop("min", 0), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator): def __init__( self, plotly_name="showscale", parent_name="scattergl.marker", **kwargs ): super(ShowscaleValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator): def __init__( self, plotly_name="reversescale", parent_name="scattergl.marker", **kwargs ): super(ReversescaleValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="opacitysrc", parent_name="scattergl.marker", **kwargs ): super(OpacitysrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class OpacityValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="opacity", parent_name="scattergl.marker", **kwargs): super(OpacityValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), max=kwargs.pop("max", 1), min=kwargs.pop("min", 0), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class LineValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__(self, plotly_name="line", parent_name="scattergl.marker", **kwargs): super(LineValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "Line"), data_docs=kwargs.pop( "data_docs", """ autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.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.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `false` when `marker.line.cmin` and `marker.line.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well. color Sets themarker.linecolor. 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.line.cmin` and `marker.line.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. colorscale Sets the colorscale. Has an effect only if in `marker.line.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.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,R eds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Black body,Earth,Electric,Viridis,Cividis. colorsrc Sets the source reference on plot.ly for color . reversescale Reverses the color mapping if true. Has an effect only if in `marker.line.color`is set to a numerical array. If true, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color. width Sets the width (in px) of the lines bounding the marker points. widthsrc Sets the source reference on plot.ly for width . """, ), **kwargs ) import _plotly_utils.basevalidators class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="colorsrc", parent_name="scattergl.marker", **kwargs ): super(ColorsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator): def __init__( self, plotly_name="colorscale", parent_name="scattergl.marker", **kwargs ): super(ColorscaleValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class ColorBarValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__( self, plotly_name="colorbar", parent_name="scattergl.marker", **kwargs ): super(ColorBarValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "ColorBar"), data_docs=kwargs.pop( "data_docs", """ bgcolor Sets the color of padded area. bordercolor Sets the axis line color. borderwidth Sets the width (in px) or the border enclosing this color bar. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. len Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends. lenmode Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in *pixels. Use `len` to set the value. nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". outlinecolor Sets the axis line color. outlinewidth Sets the width (in px) of the axis line. separatethousands If "true", even 4-digit integers are separated showexponent If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear. showticklabels Determines whether or not the tick labels are drawn. showtickprefix If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden. showticksuffix Same as `showtickprefix` but for tick suffixes. thickness Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels. thicknessmode Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickangle Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. tickcolor Sets the tick color. tickfont Sets the color bar's tick label font tickformat Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-3.x-api- reference/blob/master/Time-Formatting.md#format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops A tuple of :class:`plotly.graph_objects.scatter gl.marker.colorbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.dat a.scattergl.marker.colorbar.tickformatstopdefau lts), sets the default property values to use for elements of scattergl.marker.colorbar.tickformatstops ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on plot.ly for ticktext . tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on plot.ly for tickvals . tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.scattergl.marker.c olorbar.Title` instance or dict with compatible properties titlefont Deprecated: Please use scattergl.marker.colorbar.title.font instead. Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute. titleside Deprecated: Please use scattergl.marker.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute. x Sets the x position of the color bar (in plot fraction). xanchor Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar. xpad Sets the amount of padding (in px) along the x direction. y Sets the y position of the color bar (in plot fraction). yanchor Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar. ypad Sets the amount of padding (in px) along the y direction. """, ), **kwargs ) import _plotly_utils.basevalidators class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator): def __init__( self, plotly_name="coloraxis", parent_name="scattergl.marker", **kwargs ): super(ColoraxisValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, dflt=kwargs.pop("dflt", None), edit_type=kwargs.pop("edit_type", "calc"), regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class ColorValidator(_plotly_utils.basevalidators.ColorValidator): def __init__(self, plotly_name="color", parent_name="scattergl.marker", **kwargs): super(ColorValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), colorscale_path=kwargs.pop( "colorscale_path", "scattergl.marker.colorscale" ), **kwargs ) import _plotly_utils.basevalidators class CminValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="cmin", parent_name="scattergl.marker", **kwargs): super(CminValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {"cauto": False}), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class CmidValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="cmid", parent_name="scattergl.marker", **kwargs): super(CmidValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {}), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class CmaxValidator(_plotly_utils.basevalidators.NumberValidator): def __init__(self, plotly_name="cmax", parent_name="scattergl.marker", **kwargs): super(CmaxValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {"cauto": False}), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class CautoValidator(_plotly_utils.basevalidators.BooleanValidator): def __init__(self, plotly_name="cauto", parent_name="scattergl.marker", **kwargs): super(CautoValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {}), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator): def __init__( self, plotly_name="autocolorscale", parent_name="scattergl.marker", **kwargs ): super(AutocolorscaleValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "calc"), implied_edits=kwargs.pop("implied_edits", {}), role=kwargs.pop("role", "style"), **kwargs )