first commit

This commit is contained in:
Ayxan
2022-05-23 00:16:32 +04:00
commit d660f2a4ca
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._ysrc import YsrcValidator
from ._yhoverformat import YhoverformatValidator
from ._ycalendar import YcalendarValidator
from ._ybins import YbinsValidator
from ._yaxis import YaxisValidator
from ._y import YValidator
from ._xsrc import XsrcValidator
from ._xhoverformat import XhoverformatValidator
from ._xcalendar import XcalendarValidator
from ._xbins import XbinsValidator
from ._xaxis import XaxisValidator
from ._x import XValidator
from ._visible import VisibleValidator
from ._unselected import UnselectedValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._texttemplate import TexttemplateValidator
from ._textsrc import TextsrcValidator
from ._textposition import TextpositionValidator
from ._textfont import TextfontValidator
from ._textangle import TextangleValidator
from ._text import TextValidator
from ._stream import StreamValidator
from ._showlegend import ShowlegendValidator
from ._selectedpoints import SelectedpointsValidator
from ._selected import SelectedValidator
from ._outsidetextfont import OutsidetextfontValidator
from ._orientation import OrientationValidator
from ._opacity import OpacityValidator
from ._offsetgroup import OffsetgroupValidator
from ._nbinsy import NbinsyValidator
from ._nbinsx import NbinsxValidator
from ._name import NameValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaValidator
from ._marker import MarkerValidator
from ._legendrank import LegendrankValidator
from ._legendgrouptitle import LegendgrouptitleValidator
from ._legendgroup import LegendgroupValidator
from ._insidetextfont import InsidetextfontValidator
from ._insidetextanchor import InsidetextanchorValidator
from ._idssrc import IdssrcValidator
from ._ids import IdsValidator
from ._hovertextsrc import HovertextsrcValidator
from ._hovertext import HovertextValidator
from ._hovertemplatesrc import HovertemplatesrcValidator
from ._hovertemplate import HovertemplateValidator
from ._hoverlabel import HoverlabelValidator
from ._hoverinfosrc import HoverinfosrcValidator
from ._hoverinfo import HoverinfoValidator
from ._histnorm import HistnormValidator
from ._histfunc import HistfuncValidator
from ._error_y import Error_YValidator
from ._error_x import Error_XValidator
from ._customdatasrc import CustomdatasrcValidator
from ._customdata import CustomdataValidator
from ._cumulative import CumulativeValidator
from ._constraintext import ConstraintextValidator
from ._cliponaxis import CliponaxisValidator
from ._bingroup import BingroupValidator
from ._autobiny import AutobinyValidator
from ._autobinx import AutobinxValidator
from ._alignmentgroup import AlignmentgroupValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._ysrc.YsrcValidator",
"._yhoverformat.YhoverformatValidator",
"._ycalendar.YcalendarValidator",
"._ybins.YbinsValidator",
"._yaxis.YaxisValidator",
"._y.YValidator",
"._xsrc.XsrcValidator",
"._xhoverformat.XhoverformatValidator",
"._xcalendar.XcalendarValidator",
"._xbins.XbinsValidator",
"._xaxis.XaxisValidator",
"._x.XValidator",
"._visible.VisibleValidator",
"._unselected.UnselectedValidator",
"._uirevision.UirevisionValidator",
"._uid.UidValidator",
"._texttemplate.TexttemplateValidator",
"._textsrc.TextsrcValidator",
"._textposition.TextpositionValidator",
"._textfont.TextfontValidator",
"._textangle.TextangleValidator",
"._text.TextValidator",
"._stream.StreamValidator",
"._showlegend.ShowlegendValidator",
"._selectedpoints.SelectedpointsValidator",
"._selected.SelectedValidator",
"._outsidetextfont.OutsidetextfontValidator",
"._orientation.OrientationValidator",
"._opacity.OpacityValidator",
"._offsetgroup.OffsetgroupValidator",
"._nbinsy.NbinsyValidator",
"._nbinsx.NbinsxValidator",
"._name.NameValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._marker.MarkerValidator",
"._legendrank.LegendrankValidator",
"._legendgrouptitle.LegendgrouptitleValidator",
"._legendgroup.LegendgroupValidator",
"._insidetextfont.InsidetextfontValidator",
"._insidetextanchor.InsidetextanchorValidator",
"._idssrc.IdssrcValidator",
"._ids.IdsValidator",
"._hovertextsrc.HovertextsrcValidator",
"._hovertext.HovertextValidator",
"._hovertemplatesrc.HovertemplatesrcValidator",
"._hovertemplate.HovertemplateValidator",
"._hoverlabel.HoverlabelValidator",
"._hoverinfosrc.HoverinfosrcValidator",
"._hoverinfo.HoverinfoValidator",
"._histnorm.HistnormValidator",
"._histfunc.HistfuncValidator",
"._error_y.Error_YValidator",
"._error_x.Error_XValidator",
"._customdatasrc.CustomdatasrcValidator",
"._customdata.CustomdataValidator",
"._cumulative.CumulativeValidator",
"._constraintext.ConstraintextValidator",
"._cliponaxis.CliponaxisValidator",
"._bingroup.BingroupValidator",
"._autobiny.AutobinyValidator",
"._autobinx.AutobinxValidator",
"._alignmentgroup.AlignmentgroupValidator",
],
)

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import _plotly_utils.basevalidators
class AlignmentgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="alignmentgroup", parent_name="histogram", **kwargs):
super(AlignmentgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autobinx", parent_name="histogram", **kwargs):
super(AutobinxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autobiny", parent_name="histogram", **kwargs):
super(AutobinyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BingroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="bingroup", parent_name="histogram", **kwargs):
super(BingroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CliponaxisValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="cliponaxis", parent_name="histogram", **kwargs):
super(CliponaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ConstraintextValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="constraintext", parent_name="histogram", **kwargs):
super(ConstraintextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["inside", "outside", "both", "none"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class CumulativeValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="cumulative", parent_name="histogram", **kwargs):
super(CumulativeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Cumulative"),
data_docs=kwargs.pop(
"data_docs",
"""
currentbin
Only applies if cumulative is enabled. Sets
whether the current bin is included, excluded,
or has half of its value included in the
current cumulative value. "include" is the
default for compatibility with various other
tools, however it introduces a half-bin bias to
the results. "exclude" makes the opposite half-
bin bias, and "half" removes it.
direction
Only applies if cumulative is enabled. If
"increasing" (default) we sum all prior bins,
so the result increases from left to right. If
"decreasing" we sum later bins so the result
decreases from left to right.
enabled
If true, display the cumulative distribution by
summing the binned values. Use the `direction`
and `centralbin` attributes to tune the
accumulation method. Note: in this mode, the
"density" `histnorm` settings behave the same
as their equivalents without "density": "" and
"density" both rise to the number of data
points, and "probability" and *probability
density* both rise to the number of sample
points.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="histogram", **kwargs):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="customdatasrc", parent_name="histogram", **kwargs):
super(CustomdatasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="error_x", parent_name="histogram", **kwargs):
super(Error_XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "ErrorX"),
data_docs=kwargs.pop(
"data_docs",
"""
array
Sets the data corresponding the length of each
error bar. Values are plotted relative to the
underlying data.
arrayminus
Sets the data corresponding the length of each
error bar in the bottom (left) direction for
vertical (horizontal) bars Values are plotted
relative to the underlying data.
arrayminussrc
Sets the source reference on Chart Studio Cloud
for `arrayminus`.
arraysrc
Sets the source reference on Chart Studio Cloud
for `array`.
color
Sets the stoke color of the error bars.
copy_ystyle
symmetric
Determines whether or not the error bars have
the same length in both direction (top/bottom
for vertical bars, left/right for horizontal
bars.
thickness
Sets the thickness (in px) of the error bars.
traceref
tracerefminus
type
Determines the rule used to generate the error
bars. If *constant`, the bar lengths are of a
constant value. Set this constant in `value`.
If "percent", the bar lengths correspond to a
percentage of underlying data. Set this
percentage in `value`. If "sqrt", the bar
lengths correspond to the square of the
underlying data. If "data", the bar lengths are
set with data set `array`.
value
Sets the value of either the percentage (if
`type` is set to "percent") or the constant (if
`type` is set to "constant") corresponding to
the lengths of the error bars.
valueminus
Sets the value of either the percentage (if
`type` is set to "percent") or the constant (if
`type` is set to "constant") corresponding to
the lengths of the error bars in the bottom
(left) direction for vertical (horizontal) bars
visible
Determines whether or not this set of error
bars is visible.
width
Sets the width (in px) of the cross-bar at both
ends of the error bars.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="error_y", parent_name="histogram", **kwargs):
super(Error_YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "ErrorY"),
data_docs=kwargs.pop(
"data_docs",
"""
array
Sets the data corresponding the length of each
error bar. Values are plotted relative to the
underlying data.
arrayminus
Sets the data corresponding the length of each
error bar in the bottom (left) direction for
vertical (horizontal) bars Values are plotted
relative to the underlying data.
arrayminussrc
Sets the source reference on Chart Studio Cloud
for `arrayminus`.
arraysrc
Sets the source reference on Chart Studio Cloud
for `array`.
color
Sets the stoke color of the error bars.
symmetric
Determines whether or not the error bars have
the same length in both direction (top/bottom
for vertical bars, left/right for horizontal
bars.
thickness
Sets the thickness (in px) of the error bars.
traceref
tracerefminus
type
Determines the rule used to generate the error
bars. If *constant`, the bar lengths are of a
constant value. Set this constant in `value`.
If "percent", the bar lengths correspond to a
percentage of underlying data. Set this
percentage in `value`. If "sqrt", the bar
lengths correspond to the square of the
underlying data. If "data", the bar lengths are
set with data set `array`.
value
Sets the value of either the percentage (if
`type` is set to "percent") or the constant (if
`type` is set to "constant") corresponding to
the lengths of the error bars.
valueminus
Sets the value of either the percentage (if
`type` is set to "percent") or the constant (if
`type` is set to "constant") corresponding to
the lengths of the error bars in the bottom
(left) direction for vertical (horizontal) bars
visible
Determines whether or not this set of error
bars is visible.
width
Sets the width (in px) of the cross-bar at both
ends of the error bars.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class HistfuncValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="histfunc", parent_name="histogram", **kwargs):
super(HistfuncValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["count", "sum", "avg", "min", "max"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="histnorm", parent_name="histogram", **kwargs):
super(HistnormValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
["", "percent", "probability", "density", "probability density"],
),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="histogram", **kwargs):
super(HoverinfoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
extras=kwargs.pop("extras", ["all", "none", "skip"]),
flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hoverinfosrc", parent_name="histogram", **kwargs):
super(HoverinfosrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="hoverlabel", parent_name="histogram", **kwargs):
super(HoverlabelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
data_docs=kwargs.pop(
"data_docs",
"""
align
Sets the horizontal alignment of the text
content within hover label box. Has an effect
only if the hover label text spans more two or
more lines
alignsrc
Sets the source reference on Chart Studio Cloud
for `align`.
bgcolor
Sets the background color of the hover labels
for this trace
bgcolorsrc
Sets the source reference on Chart Studio Cloud
for `bgcolor`.
bordercolor
Sets the border color of the hover labels for
this trace.
bordercolorsrc
Sets the source reference on Chart Studio Cloud
for `bordercolor`.
font
Sets the font used in hover labels.
namelength
Sets the default length (in number of
characters) of the trace name in the hover
labels for all traces. -1 shows the whole name
regardless of length. 0-3 shows the first 0-3
characters, and an integer >3 will show the
whole name if it is less than that many
characters, but if it is longer, will truncate
to `namelength - 3` characters and add an
ellipsis.
namelengthsrc
Sets the source reference on Chart Studio Cloud
for `namelength`.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="histogram", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hovertemplatesrc", parent_name="histogram", **kwargs
):
super(HovertemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertext", parent_name="histogram", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hovertextsrc", parent_name="histogram", **kwargs):
super(HovertextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ids", parent_name="histogram", **kwargs):
super(IdsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="idssrc", parent_name="histogram", **kwargs):
super(IdssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class InsidetextanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="insidetextanchor", parent_name="histogram", **kwargs
):
super(InsidetextanchorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["end", "middle", "start"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class InsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="insidetextfont", parent_name="histogram", **kwargs):
super(InsidetextfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Insidetextfont"),
data_docs=kwargs.pop(
"data_docs",
"""
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="legendgroup", parent_name="histogram", **kwargs):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="histogram", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Legendgrouptitle"),
data_docs=kwargs.pop(
"data_docs",
"""
font
Sets this legend group's title font.
text
Sets the title of the legend group.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendrank", parent_name="histogram", **kwargs):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="histogram", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Marker"),
data_docs=kwargs.pop(
"data_docs",
"""
autocolorscale
Determines whether the colorscale is a default
palette (`autocolorscale: true`) or the palette
determined by `marker.colorscale`. Has an
effect only if in `marker.color` is set to a
numerical array. In case `colorscale` is
unspecified or `autocolorscale` is true, the
default palette will be chosen according to
whether numbers in the `color` array are all
positive, all negative or mixed.
cauto
Determines whether or not the color domain is
computed with respect to the input data (here
in `marker.color`) or the bounds set in
`marker.cmin` and `marker.cmax` Has an effect
only if in `marker.color` is set to a numerical
array. Defaults to `false` when `marker.cmin`
and `marker.cmax` are set by the user.
cmax
Sets the upper bound of the color domain. Has
an effect only if in `marker.color` is set to a
numerical array. Value should have the same
units as in `marker.color` and if set,
`marker.cmin` must be set as well.
cmid
Sets the mid-point of the color domain by
scaling `marker.cmin` and/or `marker.cmax` to
be equidistant to this point. Has an effect
only if in `marker.color` is set to a numerical
array. Value should have the same units as in
`marker.color`. Has no effect when
`marker.cauto` is `false`.
cmin
Sets the lower bound of the color domain. Has
an effect only if in `marker.color` is set to a
numerical array. Value should have the same
units as in `marker.color` and if set,
`marker.cmax` must be set as well.
color
Sets the marker color. It accepts either a
specific color or an array of numbers that are
mapped to the colorscale relative to the max
and min values of the array or relative to
`marker.cmin` and `marker.cmax` if set.
coloraxis
Sets a reference to a shared color axis.
References to these shared color axes are
"coloraxis", "coloraxis2", "coloraxis3", etc.
Settings for these shared color axes are set in
the layout, under `layout.coloraxis`,
`layout.coloraxis2`, etc. Note that multiple
color scales can be linked to the same color
axis.
colorbar
:class:`plotly.graph_objects.histogram.marker.C
olorBar` instance or dict with compatible
properties
colorscale
Sets the colorscale. Has an effect only if in
`marker.color` is set to a numerical array. The
colorscale must be an array containing arrays
mapping a normalized value to an rgb, rgba,
hex, hsl, hsv, or named color string. At
minimum, a mapping for the lowest (0) and
highest (1) values are required. For example,
`[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
To control the bounds of the colorscale in
color space, use `marker.cmin` and
`marker.cmax`. Alternatively, `colorscale` may
be a palette name string of the following list:
Blackbody,Bluered,Blues,Cividis,Earth,Electric,
Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd
Bu,Reds,Viridis,YlGnBu,YlOrRd.
colorsrc
Sets the source reference on Chart Studio Cloud
for `color`.
line
:class:`plotly.graph_objects.histogram.marker.L
ine` instance or dict with compatible
properties
opacity
Sets the opacity of the bars.
opacitysrc
Sets the source reference on Chart Studio Cloud
for `opacity`.
pattern
Sets the pattern within the marker.
reversescale
Reverses the color mapping if true. Has an
effect only if in `marker.color` is set to a
numerical array. If true, `marker.cmin` will
correspond to the last color in the array and
`marker.cmax` will correspond to the first
color.
showscale
Determines whether or not a colorbar is
displayed for this trace. Has an effect only if
in `marker.color` is set to a numerical array.
""",
),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="histogram", **kwargs):
super(MetaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="histogram", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="histogram", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class NbinsxValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="nbinsx", parent_name="histogram", **kwargs):
super(NbinsxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="nbinsy", parent_name="histogram", **kwargs):
super(NbinsyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class OffsetgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="offsetgroup", parent_name="histogram", **kwargs):
super(OffsetgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="histogram", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="orientation", parent_name="histogram", **kwargs):
super(OrientationValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
values=kwargs.pop("values", ["v", "h"]),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class OutsidetextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="outsidetextfont", parent_name="histogram", **kwargs
):
super(OutsidetextfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Outsidetextfont"),
data_docs=kwargs.pop(
"data_docs",
"""
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
""",
),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="selected", parent_name="histogram", **kwargs):
super(SelectedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Selected"),
data_docs=kwargs.pop(
"data_docs",
"""
marker
:class:`plotly.graph_objects.histogram.selected
.Marker` instance or dict with compatible
properties
textfont
:class:`plotly.graph_objects.histogram.selected
.Textfont` instance or dict with compatible
properties
""",
),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class SelectedpointsValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="selectedpoints", parent_name="histogram", **kwargs):
super(SelectedpointsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="histogram", **kwargs):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

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import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="histogram", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Stream"),
data_docs=kwargs.pop(
"data_docs",
"""
maxpoints
Sets the maximum number of points to keep on
the plots from an incoming stream. If
`maxpoints` is set to 50, only the newest 50
points will be displayed on the plot.
token
The stream id number links a data trace on a
plot with a stream. See https://chart-
studio.plotly.com/settings for more details.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="text", parent_name="histogram", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class TextangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(self, plotly_name="textangle", parent_name="histogram", **kwargs):
super(TextangleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,37 @@
import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="histogram", **kwargs):
super(TextfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Textfont"),
data_docs=kwargs.pop(
"data_docs",
"""
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
""",
),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TextpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="textposition", parent_name="histogram", **kwargs):
super(TextpositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", False),
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["inside", "outside", "auto", "none"]),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="histogram", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class TexttemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="texttemplate", parent_name="histogram", **kwargs):
super(TexttemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="histogram", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="histogram", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,24 @@
import _plotly_utils.basevalidators
class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="unselected", parent_name="histogram", **kwargs):
super(UnselectedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Unselected"),
data_docs=kwargs.pop(
"data_docs",
"""
marker
:class:`plotly.graph_objects.histogram.unselect
ed.Marker` instance or dict with compatible
properties
textfont
:class:`plotly.graph_objects.histogram.unselect
ed.Textfont` instance or dict with compatible
properties
""",
),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="histogram", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", [True, False, "legendonly"]),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="x", parent_name="histogram", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="xaxis", parent_name="histogram", **kwargs):
super(XaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "x"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

View File

@@ -0,0 +1,60 @@
import _plotly_utils.basevalidators
class XbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="xbins", parent_name="histogram", **kwargs):
super(XbinsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "XBins"),
data_docs=kwargs.pop(
"data_docs",
"""
end
Sets the end value for the x axis bins. The
last bin may not end exactly at this value, we
increment the bin edge by `size` from `start`
until we reach or exceed `end`. Defaults to the
maximum data value. Like `start`, for dates use
a date string, and for category data `end` is
based on the category serial numbers.
size
Sets the size of each x axis bin. Default
behavior: If `nbinsx` is 0 or omitted, we
choose a nice round bin size such that the
number of bins is about the same as the typical
number of samples in each bin. If `nbinsx` is
provided, we choose a nice round bin size
giving no more than that many bins. For date
data, use milliseconds or "M<n>" for months, as
in `axis.dtick`. For category data, the number
of categories to bin together (always defaults
to 1). If multiple non-overlaying histograms
share a subplot, the first explicit `size` is
used and all others discarded. If no `size` is
provided,the sample data from all traces is
combined to determine `size` as described
above.
start
Sets the starting value for the x axis bins.
Defaults to the minimum data value, shifted
down if necessary to make nice round values and
to remove ambiguous bin edges. For example, if
most of the data is integers we shift the bin
edges 0.5 down, so a `size` of 5 would have a
default `start` of -0.5, so it is clear that
0-4 are in the first bin, 5-9 in the second,
but continuous data gets a start of 0 and bins
[0,5), [5,10) etc. Dates behave similarly, and
`start` should be a date string. For category
data, `start` is based on the category serial
numbers, and defaults to -0.5. If multiple non-
overlaying histograms share a subplot, the
first explicit `start` is used exactly and all
others are shifted down (if necessary) to
differ from that one by an integer number of
bins.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,32 @@
import _plotly_utils.basevalidators
class XcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xcalendar", parent_name="histogram", **kwargs):
super(XcalendarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"chinese",
"coptic",
"discworld",
"ethiopian",
"gregorian",
"hebrew",
"islamic",
"jalali",
"julian",
"mayan",
"nanakshahi",
"nepali",
"persian",
"taiwan",
"thai",
"ummalqura",
],
),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class XhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="xhoverformat", parent_name="histogram", **kwargs):
super(XhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="xsrc", parent_name="histogram", **kwargs):
super(XsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="histogram", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="yaxis", parent_name="histogram", **kwargs):
super(YaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "y"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

View File

@@ -0,0 +1,60 @@
import _plotly_utils.basevalidators
class YbinsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="ybins", parent_name="histogram", **kwargs):
super(YbinsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "YBins"),
data_docs=kwargs.pop(
"data_docs",
"""
end
Sets the end value for the y axis bins. The
last bin may not end exactly at this value, we
increment the bin edge by `size` from `start`
until we reach or exceed `end`. Defaults to the
maximum data value. Like `start`, for dates use
a date string, and for category data `end` is
based on the category serial numbers.
size
Sets the size of each y axis bin. Default
behavior: If `nbinsy` is 0 or omitted, we
choose a nice round bin size such that the
number of bins is about the same as the typical
number of samples in each bin. If `nbinsy` is
provided, we choose a nice round bin size
giving no more than that many bins. For date
data, use milliseconds or "M<n>" for months, as
in `axis.dtick`. For category data, the number
of categories to bin together (always defaults
to 1). If multiple non-overlaying histograms
share a subplot, the first explicit `size` is
used and all others discarded. If no `size` is
provided,the sample data from all traces is
combined to determine `size` as described
above.
start
Sets the starting value for the y axis bins.
Defaults to the minimum data value, shifted
down if necessary to make nice round values and
to remove ambiguous bin edges. For example, if
most of the data is integers we shift the bin
edges 0.5 down, so a `size` of 5 would have a
default `start` of -0.5, so it is clear that
0-4 are in the first bin, 5-9 in the second,
but continuous data gets a start of 0 and bins
[0,5), [5,10) etc. Dates behave similarly, and
`start` should be a date string. For category
data, `start` is based on the category serial
numbers, and defaults to -0.5. If multiple non-
overlaying histograms share a subplot, the
first explicit `start` is used exactly and all
others are shifted down (if necessary) to
differ from that one by an integer number of
bins.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,32 @@
import _plotly_utils.basevalidators
class YcalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="ycalendar", parent_name="histogram", **kwargs):
super(YcalendarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"chinese",
"coptic",
"discworld",
"ethiopian",
"gregorian",
"hebrew",
"islamic",
"jalali",
"julian",
"mayan",
"nanakshahi",
"nepali",
"persian",
"taiwan",
"thai",
"ummalqura",
],
),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class YhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="yhoverformat", parent_name="histogram", **kwargs):
super(YhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="ysrc", parent_name="histogram", **kwargs):
super(YsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,19 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._enabled import EnabledValidator
from ._direction import DirectionValidator
from ._currentbin import CurrentbinValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._enabled.EnabledValidator",
"._direction.DirectionValidator",
"._currentbin.CurrentbinValidator",
],
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class CurrentbinValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="currentbin", parent_name="histogram.cumulative", **kwargs
):
super(CurrentbinValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["include", "exclude", "half"]),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="direction", parent_name="histogram.cumulative", **kwargs
):
super(DirectionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["increasing", "decreasing"]),
**kwargs,
)

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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="enabled", parent_name="histogram.cumulative", **kwargs
):
super(EnabledValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@@ -0,0 +1,43 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._visible import VisibleValidator
from ._valueminus import ValueminusValidator
from ._value import ValueValidator
from ._type import TypeValidator
from ._tracerefminus import TracerefminusValidator
from ._traceref import TracerefValidator
from ._thickness import ThicknessValidator
from ._symmetric import SymmetricValidator
from ._copy_ystyle import Copy_YstyleValidator
from ._color import ColorValidator
from ._arraysrc import ArraysrcValidator
from ._arrayminussrc import ArrayminussrcValidator
from ._arrayminus import ArrayminusValidator
from ._array import ArrayValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._width.WidthValidator",
"._visible.VisibleValidator",
"._valueminus.ValueminusValidator",
"._value.ValueValidator",
"._type.TypeValidator",
"._tracerefminus.TracerefminusValidator",
"._traceref.TracerefValidator",
"._thickness.ThicknessValidator",
"._symmetric.SymmetricValidator",
"._copy_ystyle.Copy_YstyleValidator",
"._color.ColorValidator",
"._arraysrc.ArraysrcValidator",
"._arrayminussrc.ArrayminussrcValidator",
"._arrayminus.ArrayminusValidator",
"._array.ArrayValidator",
],
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="array", parent_name="histogram.error_x", **kwargs):
super(ArrayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="arrayminus", parent_name="histogram.error_x", **kwargs
):
super(ArrayminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="arrayminussrc", parent_name="histogram.error_x", **kwargs
):
super(ArrayminussrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="arraysrc", parent_name="histogram.error_x", **kwargs
):
super(ArraysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="histogram.error_x", **kwargs):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class Copy_YstyleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="copy_ystyle", parent_name="histogram.error_x", **kwargs
):
super(Copy_YstyleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="symmetric", parent_name="histogram.error_x", **kwargs
):
super(SymmetricValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="histogram.error_x", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="traceref", parent_name="histogram.error_x", **kwargs
):
super(TracerefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="tracerefminus", parent_name="histogram.error_x", **kwargs
):
super(TracerefminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="type", parent_name="histogram.error_x", **kwargs):
super(TypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="value", parent_name="histogram.error_x", **kwargs):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="valueminus", parent_name="histogram.error_x", **kwargs
):
super(ValueminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="visible", parent_name="histogram.error_x", **kwargs
):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="histogram.error_x", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,41 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._visible import VisibleValidator
from ._valueminus import ValueminusValidator
from ._value import ValueValidator
from ._type import TypeValidator
from ._tracerefminus import TracerefminusValidator
from ._traceref import TracerefValidator
from ._thickness import ThicknessValidator
from ._symmetric import SymmetricValidator
from ._color import ColorValidator
from ._arraysrc import ArraysrcValidator
from ._arrayminussrc import ArrayminussrcValidator
from ._arrayminus import ArrayminusValidator
from ._array import ArrayValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._width.WidthValidator",
"._visible.VisibleValidator",
"._valueminus.ValueminusValidator",
"._value.ValueValidator",
"._type.TypeValidator",
"._tracerefminus.TracerefminusValidator",
"._traceref.TracerefValidator",
"._thickness.ThicknessValidator",
"._symmetric.SymmetricValidator",
"._color.ColorValidator",
"._arraysrc.ArraysrcValidator",
"._arrayminussrc.ArrayminussrcValidator",
"._arrayminus.ArrayminusValidator",
"._array.ArrayValidator",
],
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ArrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="array", parent_name="histogram.error_y", **kwargs):
super(ArrayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="arrayminus", parent_name="histogram.error_y", **kwargs
):
super(ArrayminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArrayminussrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="arrayminussrc", parent_name="histogram.error_y", **kwargs
):
super(ArrayminussrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ArraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="arraysrc", parent_name="histogram.error_y", **kwargs
):
super(ArraysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="histogram.error_y", **kwargs):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="symmetric", parent_name="histogram.error_y", **kwargs
):
super(SymmetricValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="histogram.error_y", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="traceref", parent_name="histogram.error_y", **kwargs
):
super(TracerefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="tracerefminus", parent_name="histogram.error_y", **kwargs
):
super(TracerefminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="type", parent_name="histogram.error_y", **kwargs):
super(TypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["percent", "constant", "sqrt", "data"]),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="value", parent_name="histogram.error_y", **kwargs):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="valueminus", parent_name="histogram.error_y", **kwargs
):
super(ValueminusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="visible", parent_name="histogram.error_y", **kwargs
):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,12 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="histogram.error_y", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,31 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import BordercolorValidator
from ._bgcolorsrc import BgcolorsrcValidator
from ._bgcolor import BgcolorValidator
from ._alignsrc import AlignsrcValidator
from ._align import AlignValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._namelengthsrc.NamelengthsrcValidator",
"._namelength.NamelengthValidator",
"._font.FontValidator",
"._bordercolorsrc.BordercolorsrcValidator",
"._bordercolor.BordercolorValidator",
"._bgcolorsrc.BgcolorsrcValidator",
"._bgcolor.BgcolorValidator",
"._alignsrc.AlignsrcValidator",
"._align.AlignValidator",
],
)

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