wg-backend-django/dell-env/lib/python3.11/site-packages/plotly/validators/_violin.py
2023-10-30 14:40:43 +07:00

397 lines
19 KiB
Python

import _plotly_utils.basevalidators
class ViolinValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="violin", parent_name="", **kwargs):
super(ViolinValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Violin"),
data_docs=kwargs.pop(
"data_docs",
"""
alignmentgroup
Set several traces linked to the same position
axis or matching axes to the same
alignmentgroup. This controls whether bars
compute their positional range dependently or
independently.
bandwidth
Sets the bandwidth used to compute the kernel
density estimate. By default, the bandwidth is
determined by Silverman's rule of thumb.
box
:class:`plotly.graph_objects.violin.Box`
instance or dict with compatible properties
customdata
Assigns extra data each datum. This may be
useful when listening to hover, click and
selection events. Note that, "scatter" traces
also appends customdata items in the markers
DOM elements
customdatasrc
Sets the source reference on Chart Studio Cloud
for `customdata`.
fillcolor
Sets the fill color. Defaults to a half-
transparent variant of the line color, marker
color, or marker line color, whichever is
available.
hoverinfo
Determines which trace information appear on
hover. If `none` or `skip` are set, no
information is displayed upon hovering. But, if
`none` is set, click and hover events are still
fired.
hoverinfosrc
Sets the source reference on Chart Studio Cloud
for `hoverinfo`.
hoverlabel
:class:`plotly.graph_objects.violin.Hoverlabel`
instance or dict with compatible properties
hoveron
Do the hover effects highlight individual
violins or sample points or the kernel density
estimate or any combination of them?
hovertemplate
Template string used for rendering the
information that appear on hover box. Note that
this will override `hoverinfo`. Variables are
inserted using %{variable}, for example "y:
%{y}" as well as %{xother}, {%_xother},
{%_xother_}, {%xother_}. When showing info for
several points, "xother" will be added to those
with different x positions from the first
point. An underscore before or after
"(x|y)other" will add a space on that side,
only when this field is shown. Numbers are
formatted using d3-format's syntax
%{variable:d3-format}, for example "Price:
%{y:$.2f}". https://github.com/d3/d3-
format/tree/v1.4.5#d3-format for details on the
formatting syntax. Dates are formatted using
d3-time-format's syntax %{variable|d3-time-
format}, for example "Day: %{2019-01-01|%A}".
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format for details on
the date formatting syntax. The variables
available in `hovertemplate` are the ones
emitted as event data described at this link
https://plotly.com/javascript/plotlyjs-
events/#event-data. Additionally, every
attributes that can be specified per-point (the
ones that are `arrayOk: true`) are available.
Anything contained in tag `<extra>` is
displayed in the secondary box, for example
"<extra>{fullData.name}</extra>". To hide the
secondary box completely, use an empty tag
`<extra></extra>`.
hovertemplatesrc
Sets the source reference on Chart Studio Cloud
for `hovertemplate`.
hovertext
Same as `text`.
hovertextsrc
Sets the source reference on Chart Studio Cloud
for `hovertext`.
ids
Assigns id labels to each datum. These ids for
object constancy of data points during
animation. Should be an array of strings, not
numbers or any other type.
idssrc
Sets the source reference on Chart Studio Cloud
for `ids`.
jitter
Sets the amount of jitter in the sample points
drawn. If 0, the sample points align along the
distribution axis. If 1, the sample points are
drawn in a random jitter of width equal to the
width of the violins.
legend
Sets the reference to a legend to show this
trace in. References to these legends are
"legend", "legend2", "legend3", etc. Settings
for these legends are set in the layout, under
`layout.legend`, `layout.legend2`, etc.
legendgroup
Sets the legend group for this trace. Traces
and shapes part of the same legend group
hide/show at the same time when toggling legend
items.
legendgrouptitle
:class:`plotly.graph_objects.violin.Legendgroup
title` instance or dict with compatible
properties
legendrank
Sets the legend rank for this trace. Items and
groups with smaller ranks are presented on
top/left side while with "reversed"
`legend.traceorder` they are on bottom/right
side. The default legendrank is 1000, so that
you can use ranks less than 1000 to place
certain items before all unranked items, and
ranks greater than 1000 to go after all
unranked items. When having unranked or equal
rank items shapes would be displayed after
traces i.e. according to their order in data
and layout.
legendwidth
Sets the width (in px or fraction) of the
legend for this trace.
line
:class:`plotly.graph_objects.violin.Line`
instance or dict with compatible properties
marker
:class:`plotly.graph_objects.violin.Marker`
instance or dict with compatible properties
meanline
:class:`plotly.graph_objects.violin.Meanline`
instance or dict with compatible properties
meta
Assigns extra meta information associated with
this trace that can be used in various text
attributes. Attributes such as trace `name`,
graph, axis and colorbar `title.text`,
annotation `text` `rangeselector`,
`updatemenues` and `sliders` `label` text all
support `meta`. To access the trace `meta`
values in an attribute in the same trace,
simply use `%{meta[i]}` where `i` is the index
or key of the `meta` item in question. To
access trace `meta` in layout attributes, use
`%{data[n[.meta[i]}` where `i` is the index or
key of the `meta` and `n` is the trace index.
metasrc
Sets the source reference on Chart Studio Cloud
for `meta`.
name
Sets the trace name. The trace name appears as
the legend item and on hover. For violin
traces, the name will also be used for the
position coordinate, if `x` and `x0` (`y` and
`y0` if horizontal) are missing and the
position axis is categorical. Note that the
trace name is also used as a default value for
attribute `scalegroup` (please see its
description for details).
offsetgroup
Set several traces linked to the same position
axis or matching axes to the same offsetgroup
where bars of the same position coordinate will
line up.
opacity
Sets the opacity of the trace.
orientation
Sets the orientation of the violin(s). If "v"
("h"), the distribution is visualized along the
vertical (horizontal).
pointpos
Sets the position of the sample points in
relation to the violins. If 0, the sample
points are places over the center of the
violins. Positive (negative) values correspond
to positions to the right (left) for vertical
violins and above (below) for horizontal
violins.
points
If "outliers", only the sample points lying
outside the whiskers are shown If
"suspectedoutliers", the outlier points are
shown and points either less than 4*Q1-3*Q3 or
greater than 4*Q3-3*Q1 are highlighted (see
`outliercolor`) If "all", all sample points are
shown If False, only the violins are shown with
no sample points. Defaults to
"suspectedoutliers" when `marker.outliercolor`
or `marker.line.outliercolor` is set, otherwise
defaults to "outliers".
quartilemethod
Sets the method used to compute the sample's Q1
and Q3 quartiles. The "linear" method uses the
25th percentile for Q1 and 75th percentile for
Q3 as computed using method #10 (listed on
http://jse.amstat.org/v14n3/langford.html). The
"exclusive" method uses the median to divide
the ordered dataset into two halves if the
sample is odd, it does not include the median
in either half - Q1 is then the median of the
lower half and Q3 the median of the upper half.
The "inclusive" method also uses the median to
divide the ordered dataset into two halves but
if the sample is odd, it includes the median in
both halves - Q1 is then the median of the
lower half and Q3 the median of the upper half.
scalegroup
If there are multiple violins that should be
sized according to to some metric (see
`scalemode`), link them by providing a non-
empty group id here shared by every trace in
the same group. If a violin's `width` is
undefined, `scalegroup` will default to the
trace's name. In this case, violins with the
same names will be linked together
scalemode
Sets the metric by which the width of each
violin is determined. "width" means each violin
has the same (max) width "count" means the
violins are scaled by the number of sample
points making up each violin.
selected
:class:`plotly.graph_objects.violin.Selected`
instance or dict with compatible properties
selectedpoints
Array containing integer indices of selected
points. Has an effect only for traces that
support selections. Note that an empty array
means an empty selection where the `unselected`
are turned on for all points, whereas, any
other non-array values means no selection all
where the `selected` and `unselected` styles
have no effect.
showlegend
Determines whether or not an item corresponding
to this trace is shown in the legend.
side
Determines on which side of the position value
the density function making up one half of a
violin is plotted. Useful when comparing two
violin traces under "overlay" mode, where one
trace has `side` set to "positive" and the
other to "negative".
span
Sets the span in data space for which the
density function will be computed. Has an
effect only when `spanmode` is set to "manual".
spanmode
Sets the method by which the span in data space
where the density function will be computed.
"soft" means the span goes from the sample's
minimum value minus two bandwidths to the
sample's maximum value plus two bandwidths.
"hard" means the span goes from the sample's
minimum to its maximum value. For custom span
settings, use mode "manual" and fill in the
`span` attribute.
stream
:class:`plotly.graph_objects.violin.Stream`
instance or dict with compatible properties
text
Sets the text elements associated with each
sample value. If a single string, the same
string appears over all the data points. If an
array of string, the items are mapped in order
to the this trace's (x,y) coordinates. To be
seen, trace `hoverinfo` must contain a "text"
flag.
textsrc
Sets the source reference on Chart Studio Cloud
for `text`.
uid
Assign an id to this trace, Use this to provide
object constancy between traces during
animations and transitions.
uirevision
Controls persistence of some user-driven
changes to the trace: `constraintrange` in
`parcoords` traces, as well as some `editable:
true` modifications such as `name` and
`colorbar.title`. Defaults to
`layout.uirevision`. Note that other user-
driven trace attribute changes are controlled
by `layout` attributes: `trace.visible` is
controlled by `layout.legend.uirevision`,
`selectedpoints` is controlled by
`layout.selectionrevision`, and
`colorbar.(x|y)` (accessible with `config:
{editable: true}`) is controlled by
`layout.editrevision`. Trace changes are
tracked by `uid`, which only falls back on
trace index if no `uid` is provided. So if your
app can add/remove traces before the end of the
`data` array, such that the same trace has a
different index, you can still preserve user-
driven changes if you give each trace a `uid`
that stays with it as it moves.
unselected
:class:`plotly.graph_objects.violin.Unselected`
instance or dict with compatible properties
visible
Determines whether or not this trace is
visible. If "legendonly", the trace is not
drawn, but can appear as a legend item
(provided that the legend itself is visible).
width
Sets the width of the violin in data
coordinates. If 0 (default value) the width is
automatically selected based on the positions
of other violin traces in the same subplot.
x
Sets the x sample data or coordinates. See
overview for more info.
x0
Sets the x coordinate for single-box traces or
the starting coordinate for multi-box traces
set using q1/median/q3. See overview for more
info.
xaxis
Sets a reference between this trace's x
coordinates and a 2D cartesian x axis. If "x"
(the default value), the x coordinates refer to
`layout.xaxis`. If "x2", the x coordinates
refer to `layout.xaxis2`, and so on.
xhoverformat
Sets the hover text formatting rulefor `x`
using d3 formatting mini-languages which are
very similar to those in Python. For numbers,
see: https://github.com/d3/d3-
format/tree/v1.4.5#d3-format. And for dates
see: https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
*09~15~23.46*By default the values are
formatted using `xaxis.hoverformat`.
xsrc
Sets the source reference on Chart Studio Cloud
for `x`.
y
Sets the y sample data or coordinates. See
overview for more info.
y0
Sets the y coordinate for single-box traces or
the starting coordinate for multi-box traces
set using q1/median/q3. See overview for more
info.
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.
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`.
""",
),
**kwargs,
)