379 lines
18 KiB
Python
379 lines
18 KiB
Python
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import _plotly_utils.basevalidators
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class VolumeValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="volume", parent_name="", **kwargs):
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super(VolumeValidator, 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", "Volume"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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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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caps
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:class:`plotly.graph_objects.volume.Caps`
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instance or dict with compatible properties
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cauto
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Determines whether or not the color domain is
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computed with respect to the input data (here
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`value`) or the bounds set in `cmin` and `cmax`
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Defaults to `false` when `cmin` and `cmax` are
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set by the user.
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cmax
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Sets the upper bound of the color domain. Value
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should have the same units as `value` and if
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set, `cmin` must be set as well.
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cmid
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Sets the mid-point of the color domain by
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scaling `cmin` and/or `cmax` to be equidistant
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to this point. Value should have the same units
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as `value`. Has no effect when `cauto` is
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`false`.
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cmin
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Sets the lower bound of the color domain. Value
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should have the same units as `value` and if
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set, `cmax` must be set as well.
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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.volume.ColorBar`
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instance or dict with compatible 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 `cmin` and
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`cmax`. 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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contour
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:class:`plotly.graph_objects.volume.Contour`
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instance or dict with compatible 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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flatshading
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Determines whether or not normal smoothing is
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applied to the meshes, creating meshes with an
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angular, low-poly look via flat reflections.
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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.volume.Hoverlabel`
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instance or dict with compatible 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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Anything contained in tag `<extra>` is
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displayed in the secondary box, for example
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"<extra>{fullData.name}</extra>". To hide the
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secondary box completely, use an empty tag
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`<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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hovertext
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Same as `text`.
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hovertextsrc
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Sets the source reference on Chart Studio Cloud
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for `hovertext`.
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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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isomax
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Sets the maximum boundary for iso-surface plot.
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isomin
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Sets the minimum boundary for iso-surface plot.
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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.volume.Legendgroup
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title` instance or dict with compatible
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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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lighting
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:class:`plotly.graph_objects.volume.Lighting`
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instance or dict with compatible properties
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lightposition
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:class:`plotly.graph_objects.volume.Lightpositi
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on` instance or dict with compatible 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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opacity
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Sets the opacity of the surface. Please note
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that in the case of using high `opacity` values
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for example a value greater than or equal to
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0.5 on two surfaces (and 0.25 with four
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surfaces), an overlay of multiple transparent
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surfaces may not perfectly be sorted in depth
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by the webgl API. This behavior may be improved
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in the near future and is subject to change.
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opacityscale
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Sets the opacityscale. The opacityscale must be
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an array containing arrays mapping a normalized
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value to an opacity value. At minimum, a
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mapping for the lowest (0) and highest (1)
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values are required. For example, `[[0, 1],
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[0.5, 0.2], [1, 1]]` means that higher/lower
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values would have higher opacity values and
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those in the middle would be more transparent
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Alternatively, `opacityscale` may be a palette
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name string of the following list: 'min',
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'max', 'extremes' and 'uniform'. The default is
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'uniform'.
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reversescale
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Reverses the color mapping if true. If true,
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`cmin` will correspond to the last color in the
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array and `cmax` will correspond to the first
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color.
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scene
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Sets a reference between this trace's 3D
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coordinate system and a 3D scene. If "scene"
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(the default value), the (x,y,z) coordinates
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refer to `layout.scene`. If "scene2", the
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(x,y,z) coordinates refer to `layout.scene2`,
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and so on.
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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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slices
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:class:`plotly.graph_objects.volume.Slices`
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instance or dict with compatible properties
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spaceframe
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:class:`plotly.graph_objects.volume.Spaceframe`
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instance or dict with compatible properties
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stream
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:class:`plotly.graph_objects.volume.Stream`
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instance or dict with compatible properties
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surface
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:class:`plotly.graph_objects.volume.Surface`
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instance or dict with compatible properties
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text
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Sets the text elements associated with the
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vertices. If trace `hoverinfo` contains a
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"text" flag and "hovertext" is not set, these
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elements will be seen in the hover labels.
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textsrc
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Sets the source reference on Chart Studio Cloud
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for `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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value
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Sets the 4th dimension (value) of the vertices.
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valuehoverformat
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Sets the hover text formatting rulefor `value`
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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.By default the
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values are formatted using generic number
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format.
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valuesrc
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Sets the source reference on Chart Studio Cloud
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for `value`.
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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 X coordinates of the vertices on X
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axis.
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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
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the year as a decimal number as well as "%{n}f"
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for fractional seconds with n digits. For
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example, *2016-10-13 09:15:23.456* with
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tickformat "%H~%M~%S.%2f" would display
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*09~15~23.46*By default the values are
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formatted using `xaxis.hoverformat`.
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xsrc
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Sets the source reference on Chart Studio Cloud
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for `x`.
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y
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Sets the Y coordinates of the vertices on Y
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axis.
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yhoverformat
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Sets the hover text formatting rulefor `y`
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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
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the year as a decimal number as well as "%{n}f"
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for fractional seconds with n digits. For
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example, *2016-10-13 09:15:23.456* with
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tickformat "%H~%M~%S.%2f" would display
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*09~15~23.46*By default the values are
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formatted using `yaxis.hoverformat`.
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ysrc
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Sets the source reference on Chart Studio Cloud
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for `y`.
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z
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Sets the Z coordinates of the vertices on Z
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|
axis.
|
||
|
|
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. 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 `zaxis.hoverformat`.
|
||
|
|
zsrc
|
||
|
|
Sets the source reference on Chart Studio Cloud
|
||
|
|
for `z`.
|
||
|
|
""",
|
||
|
|
),
|
||
|
|
**kwargs,
|
||
|
|
)
|