397 lines
19 KiB
Python
397 lines
19 KiB
Python
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import _plotly_utils.basevalidators
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class ViolinValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="violin", parent_name="", **kwargs):
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super(ViolinValidator, 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", "Violin"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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alignmentgroup
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Set several traces linked to the same position
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axis or matching axes to the same
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alignmentgroup. This controls whether bars
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compute their positional range dependently or
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independently.
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bandwidth
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Sets the bandwidth used to compute the kernel
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density estimate. By default, the bandwidth is
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determined by Silverman's rule of thumb.
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box
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:class:`plotly.graph_objects.violin.Box`
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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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fillcolor
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Sets the fill color. Defaults to a half-
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transparent variant of the line color, marker
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color, or marker line color, whichever is
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available.
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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.violin.Hoverlabel`
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instance or dict with compatible properties
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hoveron
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Do the hover effects highlight individual
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violins or sample points or the kernel density
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estimate or any combination of them?
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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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jitter
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Sets the amount of jitter in the sample points
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drawn. If 0, the sample points align along the
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distribution axis. If 1, the sample points are
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drawn in a random jitter of width equal to the
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width of the violins.
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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.violin.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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line
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:class:`plotly.graph_objects.violin.Line`
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instance or dict with compatible properties
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marker
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:class:`plotly.graph_objects.violin.Marker`
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instance or dict with compatible properties
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meanline
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:class:`plotly.graph_objects.violin.Meanline`
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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. For violin
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traces, the name will also be used for the
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position coordinate, if `x` and `x0` (`y` and
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`y0` if horizontal) are missing and the
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position axis is categorical. Note that the
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trace name is also used as a default value for
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attribute `scalegroup` (please see its
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description for details).
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offsetgroup
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Set several traces linked to the same position
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axis or matching axes to the same offsetgroup
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where bars of the same position coordinate will
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line up.
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opacity
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Sets the opacity of the trace.
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orientation
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Sets the orientation of the violin(s). If "v"
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("h"), the distribution is visualized along the
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vertical (horizontal).
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pointpos
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Sets the position of the sample points in
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relation to the violins. If 0, the sample
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points are places over the center of the
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violins. Positive (negative) values correspond
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to positions to the right (left) for vertical
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violins and above (below) for horizontal
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violins.
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points
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If "outliers", only the sample points lying
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outside the whiskers are shown If
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"suspectedoutliers", the outlier points are
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shown and points either less than 4*Q1-3*Q3 or
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greater than 4*Q3-3*Q1 are highlighted (see
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`outliercolor`) If "all", all sample points are
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shown If False, only the violins are shown with
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no sample points. Defaults to
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"suspectedoutliers" when `marker.outliercolor`
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or `marker.line.outliercolor` is set, otherwise
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defaults to "outliers".
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quartilemethod
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Sets the method used to compute the sample's Q1
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and Q3 quartiles. The "linear" method uses the
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25th percentile for Q1 and 75th percentile for
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Q3 as computed using method #10 (listed on
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http://jse.amstat.org/v14n3/langford.html). The
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"exclusive" method uses the median to divide
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the ordered dataset into two halves if the
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sample is odd, it does not include the median
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in either half - Q1 is then the median of the
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lower half and Q3 the median of the upper half.
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The "inclusive" method also uses the median to
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divide the ordered dataset into two halves but
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if the sample is odd, it includes the median in
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both halves - Q1 is then the median of the
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lower half and Q3 the median of the upper half.
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scalegroup
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If there are multiple violins that should be
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sized according to to some metric (see
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`scalemode`), link them by providing a non-
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empty group id here shared by every trace in
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the same group. If a violin's `width` is
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undefined, `scalegroup` will default to the
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trace's name. In this case, violins with the
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same names will be linked together
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scalemode
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Sets the metric by which the width of each
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violin is determined. "width" means each violin
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has the same (max) width "count" means the
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violins are scaled by the number of sample
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points making up each violin.
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selected
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:class:`plotly.graph_objects.violin.Selected`
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instance or dict with compatible properties
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selectedpoints
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Array containing integer indices of selected
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points. Has an effect only for traces that
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support selections. Note that an empty array
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means an empty selection where the `unselected`
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are turned on for all points, whereas, any
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other non-array values means no selection all
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where the `selected` and `unselected` styles
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have no effect.
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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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side
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Determines on which side of the position value
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the density function making up one half of a
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violin is plotted. Useful when comparing two
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violin traces under "overlay" mode, where one
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trace has `side` set to "positive" and the
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other to "negative".
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span
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Sets the span in data space for which the
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density function will be computed. Has an
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effect only when `spanmode` is set to "manual".
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spanmode
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Sets the method by which the span in data space
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where the density function will be computed.
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"soft" means the span goes from the sample's
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minimum value minus two bandwidths to the
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sample's maximum value plus two bandwidths.
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"hard" means the span goes from the sample's
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minimum to its maximum value. For custom span
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settings, use mode "manual" and fill in the
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`span` attribute.
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stream
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:class:`plotly.graph_objects.violin.Stream`
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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 each
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sample value. If a single string, the same
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string appears over all the data points. If an
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array of string, the items are mapped in order
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to the this trace's (x,y) coordinates. To be
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seen, trace `hoverinfo` must contain a "text"
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flag.
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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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unselected
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:class:`plotly.graph_objects.violin.Unselected`
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instance or dict with compatible properties
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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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width
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Sets the width of the violin in data
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coordinates. If 0 (default value) the width is
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automatically selected based on the positions
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of other violin traces in the same subplot.
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x
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Sets the x sample data or coordinates. See
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overview for more info.
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x0
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Sets the x coordinate for single-box traces or
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the starting coordinate for multi-box traces
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set using q1/median/q3. See overview for more
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info.
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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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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 sample data or coordinates. See
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overview for more info.
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y0
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Sets the y coordinate for single-box traces or
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the starting coordinate for multi-box traces
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set using q1/median/q3. See overview for more
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info.
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yaxis
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Sets a reference between this trace's y
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coordinates and a 2D cartesian y axis. If "y"
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(the default value), the y coordinates refer to
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`layout.yaxis`. If "y2", the y coordinates
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refer to `layout.yaxis2`, and so on.
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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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""",
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),
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**kwargs,
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)
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