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

414 lines
20 KiB
Python

import _plotly_utils.basevalidators
class HistogramValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="histogram", parent_name="", **kwargs):
super(HistogramValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Histogram"),
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.
autobinx
Obsolete: since v1.42 each bin attribute is
auto-determined separately and `autobinx` is
not needed. However, we accept `autobinx: true`
or `false` and will update `xbins` accordingly
before deleting `autobinx` from the trace.
autobiny
Obsolete: since v1.42 each bin attribute is
auto-determined separately and `autobiny` is
not needed. However, we accept `autobiny: true`
or `false` and will update `ybins` accordingly
before deleting `autobiny` from the trace.
bingroup
Set a group of histogram traces which will have
compatible bin settings. Note that traces on
the same subplot and with the same
"orientation" under `barmode` "stack",
"relative" and "group" are forced into the same
bingroup, Using `bingroup`, traces under
`barmode` "overlay" and on different axes (of
the same axis type) can have compatible bin
settings. Note that histogram and histogram2d*
trace can share the same `bingroup`
cliponaxis
Determines whether the text nodes are clipped
about the subplot axes. To show the text nodes
above axis lines and tick labels, make sure to
set `xaxis.layer` and `yaxis.layer` to *below
traces*.
constraintext
Constrain the size of text inside or outside a
bar to be no larger than the bar itself.
cumulative
:class:`plotly.graph_objects.histogram.Cumulati
ve` 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`.
error_x
:class:`plotly.graph_objects.histogram.ErrorX`
instance or dict with compatible properties
error_y
:class:`plotly.graph_objects.histogram.ErrorY`
instance or dict with compatible properties
histfunc
Specifies the binning function used for this
histogram trace. If "count", the histogram
values are computed by counting the number of
values lying inside each bin. If "sum", "avg",
"min", "max", the histogram values are computed
using the sum, the average, the minimum or the
maximum of the values lying inside each bin
respectively.
histnorm
Specifies the type of normalization used for
this histogram trace. If "", the span of each
bar corresponds to the number of occurrences
(i.e. the number of data points lying inside
the bins). If "percent" / "probability", the
span of each bar corresponds to the percentage
/ fraction of occurrences with respect to the
total number of sample points (here, the sum of
all bin HEIGHTS equals 100% / 1). If "density",
the span of each bar corresponds to the number
of occurrences in a bin divided by the size of
the bin interval (here, the sum of all bin
AREAS equals the total number of sample
points). If *probability density*, the area of
each bar corresponds to the probability that an
event will fall into the corresponding bin
(here, the sum of all bin AREAS equals 1).
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.histogram.Hoverlab
el` instance or dict with compatible properties
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.
Finally, the template string has access to
variable `binNumber` 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`.
insidetextanchor
Determines if texts are kept at center or
start/end points in `textposition` "inside"
mode.
insidetextfont
Sets the font used for `text` lying inside the
bar.
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.histogram.Legendgr
ouptitle` 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.
marker
:class:`plotly.graph_objects.histogram.Marker`
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.
nbinsx
Specifies the maximum number of desired bins.
This value will be used in an algorithm that
will decide the optimal bin size such that the
histogram best visualizes the distribution of
the data. Ignored if `xbins.size` is provided.
nbinsy
Specifies the maximum number of desired bins.
This value will be used in an algorithm that
will decide the optimal bin size such that the
histogram best visualizes the distribution of
the data. Ignored if `ybins.size` is provided.
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 bars. With "v"
("h"), the value of the each bar spans along
the vertical (horizontal).
outsidetextfont
Sets the font used for `text` lying outside the
bar.
selected
:class:`plotly.graph_objects.histogram.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.
stream
:class:`plotly.graph_objects.histogram.Stream`
instance or dict with compatible properties
text
Sets hover text elements associated with each
bar. If a single string, the same string
appears over all bars. If an array of string,
the items are mapped in order to the this
trace's coordinates.
textangle
Sets the angle of the tick labels with respect
to the bar. For example, a `tickangle` of -90
draws the tick labels vertically. With "auto"
the texts may automatically be rotated to fit
with the maximum size in bars.
textfont
Sets the text font.
textposition
Specifies the location of the `text`. "inside"
positions `text` inside, next to the bar end
(rotated and scaled if needed). "outside"
positions `text` outside, next to the bar end
(scaled if needed), unless there is another bar
stacked on this one, then the text gets pushed
inside. "auto" tries to position `text` inside
the bar, but if the bar is too small and no bar
is stacked on this one the text is moved
outside. If "none", no text appears.
textsrc
Sets the source reference on Chart Studio Cloud
for `text`.
texttemplate
Template string used for rendering the
information text that appear on points. Note
that this will override `textinfo`. Variables
are inserted using %{variable}, for example "y:
%{y}". 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. Every attributes
that can be specified per-point (the ones that
are `arrayOk: true`) are available. Finally,
the template string has access to variables
`label` and `value`.
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.histogram.Unselect
ed` 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).
x
Sets the sample data to be binned on the x
axis.
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.
xbins
:class:`plotly.graph_objects.histogram.XBins`
instance or dict with compatible properties
xcalendar
Sets the calendar system to use with `x` date
data.
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 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.
ybins
:class:`plotly.graph_objects.histogram.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`.
""",
),
**kwargs,
)