441 lines
22 KiB
Python
441 lines
22 KiB
Python
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import _plotly_utils.basevalidators
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class Histogram2DcontourValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="histogram2dcontour", parent_name="", **kwargs):
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super(Histogram2DcontourValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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data_class_str=kwargs.pop("data_class_str", "Histogram2dContour"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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autobinx
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Obsolete: since v1.42 each bin attribute is
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auto-determined separately and `autobinx` is
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not needed. However, we accept `autobinx: true`
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or `false` and will update `xbins` accordingly
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before deleting `autobinx` from the trace.
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autobiny
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Obsolete: since v1.42 each bin attribute is
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auto-determined separately and `autobiny` is
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not needed. However, we accept `autobiny: true`
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or `false` and will update `ybins` accordingly
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before deleting `autobiny` from the trace.
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autocolorscale
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Determines whether the colorscale is a default
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palette (`autocolorscale: true`) or the palette
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determined by `colorscale`. In case
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`colorscale` is unspecified or `autocolorscale`
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is true, the default palette will be chosen
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according to whether numbers in the `color`
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array are all positive, all negative or mixed.
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autocontour
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Determines whether or not the contour level
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attributes are picked by an algorithm. If True,
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the number of contour levels can be set in
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`ncontours`. If False, set the contour level
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attributes in `contours`.
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bingroup
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Set the `xbingroup` and `ybingroup` default
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prefix For example, setting a `bingroup` of 1
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on two histogram2d traces will make them their
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x-bins and y-bins match separately.
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coloraxis
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Sets a reference to a shared color axis.
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References to these shared color axes are
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"coloraxis", "coloraxis2", "coloraxis3", etc.
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Settings for these shared color axes are set in
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the layout, under `layout.coloraxis`,
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`layout.coloraxis2`, etc. Note that multiple
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color scales can be linked to the same color
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axis.
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colorbar
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:class:`plotly.graph_objects.histogram2dcontour
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.ColorBar` instance or dict with compatible
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properties
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colorscale
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Sets the colorscale. The colorscale must be an
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array containing arrays mapping a normalized
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value to an rgb, rgba, hex, hsl, hsv, or named
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color string. At minimum, a mapping for the
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lowest (0) and highest (1) values are required.
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For example, `[[0, 'rgb(0,0,255)'], [1,
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'rgb(255,0,0)']]`. To control the bounds of the
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colorscale in color space, use `zmin` and
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`zmax`. Alternatively, `colorscale` may be a
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palette name string of the following list: Blac
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kbody,Bluered,Blues,Cividis,Earth,Electric,Gree
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ns,Greys,Hot,Jet,Picnic,Portland,Rainbow,RdBu,R
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eds,Viridis,YlGnBu,YlOrRd.
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contours
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:class:`plotly.graph_objects.histogram2dcontour
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.Contours` instance or dict with compatible
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properties
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customdata
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Assigns extra data each datum. This may be
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useful when listening to hover, click and
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selection events. Note that, "scatter" traces
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also appends customdata items in the markers
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DOM elements
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customdatasrc
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Sets the source reference on Chart Studio Cloud
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for `customdata`.
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histfunc
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Specifies the binning function used for this
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histogram trace. If "count", the histogram
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values are computed by counting the number of
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values lying inside each bin. If "sum", "avg",
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"min", "max", the histogram values are computed
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using the sum, the average, the minimum or the
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maximum of the values lying inside each bin
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respectively.
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histnorm
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Specifies the type of normalization used for
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this histogram trace. If "", the span of each
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bar corresponds to the number of occurrences
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(i.e. the number of data points lying inside
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the bins). If "percent" / "probability", the
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span of each bar corresponds to the percentage
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/ fraction of occurrences with respect to the
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total number of sample points (here, the sum of
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all bin HEIGHTS equals 100% / 1). If "density",
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the span of each bar corresponds to the number
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of occurrences in a bin divided by the size of
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the bin interval (here, the sum of all bin
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AREAS equals the total number of sample
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points). If *probability density*, the area of
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each bar corresponds to the probability that an
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event will fall into the corresponding bin
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(here, the sum of all bin AREAS equals 1).
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hoverinfo
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Determines which trace information appear on
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hover. If `none` or `skip` are set, no
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information is displayed upon hovering. But, if
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`none` is set, click and hover events are still
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fired.
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hoverinfosrc
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Sets the source reference on Chart Studio Cloud
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for `hoverinfo`.
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hoverlabel
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:class:`plotly.graph_objects.histogram2dcontour
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.Hoverlabel` instance or dict with compatible
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properties
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hovertemplate
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Template string used for rendering the
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information that appear on hover box. Note that
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this will override `hoverinfo`. Variables are
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inserted using %{variable}, for example "y:
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%{y}" as well as %{xother}, {%_xother},
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{%_xother_}, {%xother_}. When showing info for
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several points, "xother" will be added to those
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with different x positions from the first
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point. An underscore before or after
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"(x|y)other" will add a space on that side,
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only when this field is shown. Numbers are
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formatted using d3-format's syntax
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%{variable:d3-format}, for example "Price:
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%{y:$.2f}". https://github.com/d3/d3-
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format/tree/v1.4.5#d3-format for details on the
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formatting syntax. Dates are formatted using
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d3-time-format's syntax %{variable|d3-time-
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format}, for example "Day: %{2019-01-01|%A}".
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https://github.com/d3/d3-time-
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format/tree/v2.2.3#locale_format for details on
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the date formatting syntax. The variables
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available in `hovertemplate` are the ones
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emitted as event data described at this link
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https://plotly.com/javascript/plotlyjs-
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events/#event-data. Additionally, every
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attributes that can be specified per-point (the
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ones that are `arrayOk: true`) are available.
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Finally, the template string has access to
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variable `z` Anything contained in tag
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`<extra>` is displayed in the secondary box,
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for example "<extra>{fullData.name}</extra>".
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To hide the secondary box completely, use an
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empty tag `<extra></extra>`.
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hovertemplatesrc
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Sets the source reference on Chart Studio Cloud
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for `hovertemplate`.
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ids
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Assigns id labels to each datum. These ids for
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object constancy of data points during
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animation. Should be an array of strings, not
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numbers or any other type.
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idssrc
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Sets the source reference on Chart Studio Cloud
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for `ids`.
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legend
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Sets the reference to a legend to show this
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trace in. References to these legends are
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"legend", "legend2", "legend3", etc. Settings
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for these legends are set in the layout, under
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`layout.legend`, `layout.legend2`, etc.
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legendgroup
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Sets the legend group for this trace. Traces
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and shapes part of the same legend group
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hide/show at the same time when toggling legend
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items.
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legendgrouptitle
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:class:`plotly.graph_objects.histogram2dcontour
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.Legendgrouptitle` instance or dict with
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compatible properties
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legendrank
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Sets the legend rank for this trace. Items and
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groups with smaller ranks are presented on
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top/left side while with "reversed"
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`legend.traceorder` they are on bottom/right
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side. The default legendrank is 1000, so that
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you can use ranks less than 1000 to place
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certain items before all unranked items, and
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ranks greater than 1000 to go after all
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unranked items. When having unranked or equal
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rank items shapes would be displayed after
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traces i.e. according to their order in data
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and layout.
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legendwidth
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Sets the width (in px or fraction) of the
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legend for this trace.
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line
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:class:`plotly.graph_objects.histogram2dcontour
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.Line` instance or dict with compatible
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properties
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marker
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:class:`plotly.graph_objects.histogram2dcontour
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.Marker` instance or dict with compatible
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properties
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meta
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Assigns extra meta information associated with
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this trace that can be used in various text
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attributes. Attributes such as trace `name`,
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graph, axis and colorbar `title.text`,
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annotation `text` `rangeselector`,
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`updatemenues` and `sliders` `label` text all
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support `meta`. To access the trace `meta`
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values in an attribute in the same trace,
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simply use `%{meta[i]}` where `i` is the index
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or key of the `meta` item in question. To
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access trace `meta` in layout attributes, use
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`%{data[n[.meta[i]}` where `i` is the index or
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key of the `meta` and `n` is the trace index.
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metasrc
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Sets the source reference on Chart Studio Cloud
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for `meta`.
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name
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Sets the trace name. The trace name appears as
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the legend item and on hover.
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nbinsx
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Specifies the maximum number of desired bins.
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This value will be used in an algorithm that
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will decide the optimal bin size such that the
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histogram best visualizes the distribution of
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the data. Ignored if `xbins.size` is provided.
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nbinsy
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Specifies the maximum number of desired bins.
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This value will be used in an algorithm that
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will decide the optimal bin size such that the
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histogram best visualizes the distribution of
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the data. Ignored if `ybins.size` is provided.
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ncontours
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Sets the maximum number of contour levels. The
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actual number of contours will be chosen
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automatically to be less than or equal to the
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value of `ncontours`. Has an effect only if
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`autocontour` is True or if `contours.size` is
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missing.
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opacity
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Sets the opacity of the trace.
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reversescale
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Reverses the color mapping if true. If true,
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`zmin` will correspond to the last color in the
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array and `zmax` will correspond to the first
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color.
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showlegend
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Determines whether or not an item corresponding
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to this trace is shown in the legend.
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showscale
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Determines whether or not a colorbar is
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displayed for this trace.
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stream
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:class:`plotly.graph_objects.histogram2dcontour
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.Stream` instance or dict with compatible
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properties
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textfont
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For this trace it only has an effect if
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`coloring` is set to "heatmap". Sets the text
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font.
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texttemplate
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For this trace it only has an effect if
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`coloring` is set to "heatmap". Template string
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used for rendering the information text that
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appear on points. Note that this will override
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`textinfo`. Variables are inserted using
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%{variable}, for example "y: %{y}". Numbers are
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formatted using d3-format's syntax
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%{variable:d3-format}, for example "Price:
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%{y:$.2f}". https://github.com/d3/d3-
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format/tree/v1.4.5#d3-format for details on the
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formatting syntax. Dates are formatted using
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d3-time-format's syntax %{variable|d3-time-
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format}, for example "Day: %{2019-01-01|%A}".
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https://github.com/d3/d3-time-
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format/tree/v2.2.3#locale_format for details on
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the date formatting syntax. Every attributes
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that can be specified per-point (the ones that
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are `arrayOk: true`) are available. Finally,
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the template string has access to variables
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`x`, `y`, `z` and `text`.
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uid
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Assign an id to this trace, Use this to provide
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object constancy between traces during
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animations and transitions.
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uirevision
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Controls persistence of some user-driven
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changes to the trace: `constraintrange` in
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`parcoords` traces, as well as some `editable:
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true` modifications such as `name` and
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`colorbar.title`. Defaults to
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`layout.uirevision`. Note that other user-
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driven trace attribute changes are controlled
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by `layout` attributes: `trace.visible` is
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controlled by `layout.legend.uirevision`,
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`selectedpoints` is controlled by
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`layout.selectionrevision`, and
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`colorbar.(x|y)` (accessible with `config:
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{editable: true}`) is controlled by
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`layout.editrevision`. Trace changes are
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tracked by `uid`, which only falls back on
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trace index if no `uid` is provided. So if your
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app can add/remove traces before the end of the
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`data` array, such that the same trace has a
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different index, you can still preserve user-
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driven changes if you give each trace a `uid`
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that stays with it as it moves.
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visible
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Determines whether or not this trace is
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visible. If "legendonly", the trace is not
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drawn, but can appear as a legend item
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(provided that the legend itself is visible).
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x
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Sets the sample data to be binned on the x
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axis.
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xaxis
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Sets a reference between this trace's x
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coordinates and a 2D cartesian x axis. If "x"
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(the default value), the x coordinates refer to
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`layout.xaxis`. If "x2", the x coordinates
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refer to `layout.xaxis2`, and so on.
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xbingroup
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Set a group of histogram traces which will have
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compatible x-bin settings. Using `xbingroup`,
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histogram2d and histogram2dcontour traces (on
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axes of the same axis type) can have compatible
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x-bin settings. Note that the same `xbingroup`
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value can be used to set (1D) histogram
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`bingroup`
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xbins
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:class:`plotly.graph_objects.histogram2dcontour
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.XBins` instance or dict with compatible
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properties
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xcalendar
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Sets the calendar system to use with `x` date
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data.
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xhoverformat
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Sets the hover text formatting rulefor `x`
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using d3 formatting mini-languages which are
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very similar to those in Python. For numbers,
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see: https://github.com/d3/d3-
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format/tree/v1.4.5#d3-format. And for dates
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see: https://github.com/d3/d3-time-
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format/tree/v2.2.3#locale_format. We add two
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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`.
|
||
|
|
xsrc
|
||
|
|
Sets the source reference on Chart Studio Cloud
|
||
|
|
for `x`.
|
||
|
|
y
|
||
|
|
Sets the sample data to be binned on the y
|
||
|
|
axis.
|
||
|
|
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.
|
||
|
|
ybingroup
|
||
|
|
Set a group of histogram traces which will have
|
||
|
|
compatible y-bin settings. Using `ybingroup`,
|
||
|
|
histogram2d and histogram2dcontour traces (on
|
||
|
|
axes of the same axis type) can have compatible
|
||
|
|
y-bin settings. Note that the same `ybingroup`
|
||
|
|
value can be used to set (1D) histogram
|
||
|
|
`bingroup`
|
||
|
|
ybins
|
||
|
|
:class:`plotly.graph_objects.histogram2dcontour
|
||
|
|
.YBins` instance or dict with compatible
|
||
|
|
properties
|
||
|
|
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`.
|
||
|
|
ysrc
|
||
|
|
Sets the source reference on Chart Studio Cloud
|
||
|
|
for `y`.
|
||
|
|
z
|
||
|
|
Sets the aggregation data.
|
||
|
|
zauto
|
||
|
|
Determines whether or not the color domain is
|
||
|
|
computed with respect to the input data (here
|
||
|
|
in `z`) or the bounds set in `zmin` and `zmax`
|
||
|
|
Defaults to `false` when `zmin` and `zmax` are
|
||
|
|
set by the user.
|
||
|
|
zhoverformat
|
||
|
|
Sets the hover text formatting rulefor `z`
|
||
|
|
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.By default the
|
||
|
|
values are formatted using generic number
|
||
|
|
format.
|
||
|
|
zmax
|
||
|
|
Sets the upper bound of the color domain. Value
|
||
|
|
should have the same units as in `z` and if
|
||
|
|
set, `zmin` must be set as well.
|
||
|
|
zmid
|
||
|
|
Sets the mid-point of the color domain by
|
||
|
|
scaling `zmin` and/or `zmax` to be equidistant
|
||
|
|
to this point. Value should have the same units
|
||
|
|
as in `z`. Has no effect when `zauto` is
|
||
|
|
`false`.
|
||
|
|
zmin
|
||
|
|
Sets the lower bound of the color domain. Value
|
||
|
|
should have the same units as in `z` and if
|
||
|
|
set, `zmax` must be set as well.
|
||
|
|
zsrc
|
||
|
|
Sets the source reference on Chart Studio Cloud
|
||
|
|
for `z`.
|
||
|
|
""",
|
||
|
|
),
|
||
|
|
**kwargs,
|
||
|
|
)
|