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181
.venv/Lib/site-packages/plotly/validators/layout/__init__.py Normal file
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._yaxis import YaxisValidator
from ._xaxis import XaxisValidator
from ._width import WidthValidator
from ._waterfallmode import WaterfallmodeValidator
from ._waterfallgroupgap import WaterfallgroupgapValidator
from ._waterfallgap import WaterfallgapValidator
from ._violinmode import ViolinmodeValidator
from ._violingroupgap import ViolingroupgapValidator
from ._violingap import ViolingapValidator
from ._updatemenudefaults import UpdatemenudefaultsValidator
from ._updatemenus import UpdatemenusValidator
from ._uniformtext import UniformtextValidator
from ._uirevision import UirevisionValidator
from ._treemapcolorway import TreemapcolorwayValidator
from ._transition import TransitionValidator
from ._title import TitleValidator
from ._ternary import TernaryValidator
from ._template import TemplateValidator
from ._sunburstcolorway import SunburstcolorwayValidator
from ._spikedistance import SpikedistanceValidator
from ._smith import SmithValidator
from ._sliderdefaults import SliderdefaultsValidator
from ._sliders import SlidersValidator
from ._showlegend import ShowlegendValidator
from ._shapedefaults import ShapedefaultsValidator
from ._shapes import ShapesValidator
from ._separators import SeparatorsValidator
from ._selectionrevision import SelectionrevisionValidator
from ._selectdirection import SelectdirectionValidator
from ._scene import SceneValidator
from ._polar import PolarValidator
from ._plot_bgcolor import Plot_BgcolorValidator
from ._piecolorway import PiecolorwayValidator
from ._paper_bgcolor import Paper_BgcolorValidator
from ._newshape import NewshapeValidator
from ._modebar import ModebarValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaValidator
from ._margin import MarginValidator
from ._mapbox import MapboxValidator
from ._legend import LegendValidator
from ._imagedefaults import ImagedefaultsValidator
from ._images import ImagesValidator
from ._iciclecolorway import IciclecolorwayValidator
from ._hovermode import HovermodeValidator
from ._hoverlabel import HoverlabelValidator
from ._hoverdistance import HoverdistanceValidator
from ._hidesources import HidesourcesValidator
from ._hiddenlabelssrc import HiddenlabelssrcValidator
from ._hiddenlabels import HiddenlabelsValidator
from ._height import HeightValidator
from ._grid import GridValidator
from ._geo import GeoValidator
from ._funnelmode import FunnelmodeValidator
from ._funnelgroupgap import FunnelgroupgapValidator
from ._funnelgap import FunnelgapValidator
from ._funnelareacolorway import FunnelareacolorwayValidator
from ._font import FontValidator
from ._extendtreemapcolors import ExtendtreemapcolorsValidator
from ._extendsunburstcolors import ExtendsunburstcolorsValidator
from ._extendpiecolors import ExtendpiecolorsValidator
from ._extendiciclecolors import ExtendiciclecolorsValidator
from ._extendfunnelareacolors import ExtendfunnelareacolorsValidator
from ._editrevision import EditrevisionValidator
from ._dragmode import DragmodeValidator
from ._datarevision import DatarevisionValidator
from ._computed import ComputedValidator
from ._colorway import ColorwayValidator
from ._colorscale import ColorscaleValidator
from ._coloraxis import ColoraxisValidator
from ._clickmode import ClickmodeValidator
from ._calendar import CalendarValidator
from ._boxmode import BoxmodeValidator
from ._boxgroupgap import BoxgroupgapValidator
from ._boxgap import BoxgapValidator
from ._barnorm import BarnormValidator
from ._barmode import BarmodeValidator
from ._bargroupgap import BargroupgapValidator
from ._bargap import BargapValidator
from ._autotypenumbers import AutotypenumbersValidator
from ._autosize import AutosizeValidator
from ._annotationdefaults import AnnotationdefaultsValidator
from ._annotations import AnnotationsValidator
from ._activeshape import ActiveshapeValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._yaxis.YaxisValidator",
"._xaxis.XaxisValidator",
"._width.WidthValidator",
"._waterfallmode.WaterfallmodeValidator",
"._waterfallgroupgap.WaterfallgroupgapValidator",
"._waterfallgap.WaterfallgapValidator",
"._violinmode.ViolinmodeValidator",
"._violingroupgap.ViolingroupgapValidator",
"._violingap.ViolingapValidator",
"._updatemenudefaults.UpdatemenudefaultsValidator",
"._updatemenus.UpdatemenusValidator",
"._uniformtext.UniformtextValidator",
"._uirevision.UirevisionValidator",
"._treemapcolorway.TreemapcolorwayValidator",
"._transition.TransitionValidator",
"._title.TitleValidator",
"._ternary.TernaryValidator",
"._template.TemplateValidator",
"._sunburstcolorway.SunburstcolorwayValidator",
"._spikedistance.SpikedistanceValidator",
"._smith.SmithValidator",
"._sliderdefaults.SliderdefaultsValidator",
"._sliders.SlidersValidator",
"._showlegend.ShowlegendValidator",
"._shapedefaults.ShapedefaultsValidator",
"._shapes.ShapesValidator",
"._separators.SeparatorsValidator",
"._selectionrevision.SelectionrevisionValidator",
"._selectdirection.SelectdirectionValidator",
"._scene.SceneValidator",
"._polar.PolarValidator",
"._plot_bgcolor.Plot_BgcolorValidator",
"._piecolorway.PiecolorwayValidator",
"._paper_bgcolor.Paper_BgcolorValidator",
"._newshape.NewshapeValidator",
"._modebar.ModebarValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._margin.MarginValidator",
"._mapbox.MapboxValidator",
"._legend.LegendValidator",
"._imagedefaults.ImagedefaultsValidator",
"._images.ImagesValidator",
"._iciclecolorway.IciclecolorwayValidator",
"._hovermode.HovermodeValidator",
"._hoverlabel.HoverlabelValidator",
"._hoverdistance.HoverdistanceValidator",
"._hidesources.HidesourcesValidator",
"._hiddenlabelssrc.HiddenlabelssrcValidator",
"._hiddenlabels.HiddenlabelsValidator",
"._height.HeightValidator",
"._grid.GridValidator",
"._geo.GeoValidator",
"._funnelmode.FunnelmodeValidator",
"._funnelgroupgap.FunnelgroupgapValidator",
"._funnelgap.FunnelgapValidator",
"._funnelareacolorway.FunnelareacolorwayValidator",
"._font.FontValidator",
"._extendtreemapcolors.ExtendtreemapcolorsValidator",
"._extendsunburstcolors.ExtendsunburstcolorsValidator",
"._extendpiecolors.ExtendpiecolorsValidator",
"._extendiciclecolors.ExtendiciclecolorsValidator",
"._extendfunnelareacolors.ExtendfunnelareacolorsValidator",
"._editrevision.EditrevisionValidator",
"._dragmode.DragmodeValidator",
"._datarevision.DatarevisionValidator",
"._computed.ComputedValidator",
"._colorway.ColorwayValidator",
"._colorscale.ColorscaleValidator",
"._coloraxis.ColoraxisValidator",
"._clickmode.ClickmodeValidator",
"._calendar.CalendarValidator",
"._boxmode.BoxmodeValidator",
"._boxgroupgap.BoxgroupgapValidator",
"._boxgap.BoxgapValidator",
"._barnorm.BarnormValidator",
"._barmode.BarmodeValidator",
"._bargroupgap.BargroupgapValidator",
"._bargap.BargapValidator",
"._autotypenumbers.AutotypenumbersValidator",
"._autosize.AutosizeValidator",
"._annotationdefaults.AnnotationdefaultsValidator",
"._annotations.AnnotationsValidator",
"._activeshape.ActiveshapeValidator",
],
)

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.venv/Lib/site-packages/plotly/validators/layout/_activeshape.py Normal file
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import _plotly_utils.basevalidators
class ActiveshapeValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="activeshape", parent_name="layout", **kwargs):
super(ActiveshapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Activeshape"),
data_docs=kwargs.pop(
"data_docs",
"""
fillcolor
Sets the color filling the active shape'
interior.
opacity
Sets the opacity of the active shape.
""",
),
**kwargs,
)

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.venv/Lib/site-packages/plotly/validators/layout/_annotationdefaults.py Normal file
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import _plotly_utils.basevalidators
class AnnotationdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="annotationdefaults", parent_name="layout", **kwargs
):
super(AnnotationdefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Annotation"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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.venv/Lib/site-packages/plotly/validators/layout/_annotations.py Normal file
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import _plotly_utils.basevalidators
class AnnotationsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="annotations", parent_name="layout", **kwargs):
super(AnnotationsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Annotation"),
data_docs=kwargs.pop(
"data_docs",
"""
align
Sets the horizontal alignment of the `text`
within the box. Has an effect only if `text`
spans two or more lines (i.e. `text` contains
one or more <br> HTML tags) or if an explicit
width is set to override the text width.
arrowcolor
Sets the color of the annotation arrow.
arrowhead
Sets the end annotation arrow head style.
arrowside
Sets the annotation arrow head position.
arrowsize
Sets the size of the end annotation arrow head,
relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
arrowwidth
Sets the width (in px) of annotation arrow
line.
ax
Sets the x component of the arrow tail about
the arrow head. If `axref` is `pixel`, a
positive (negative) component corresponds to an
arrow pointing from right to left (left to
right). If `axref` is not `pixel` and is
exactly the same as `xref`, this is an absolute
value on that axis, like `x`, specified in the
same coordinates as `xref`.
axref
Indicates in what coordinates the tail of the
annotation (ax,ay) is specified. If set to a ax
axis id (e.g. "ax" or "ax2"), the `ax` position
refers to a ax coordinate. If set to "paper",
the `ax` position refers to the distance from
the left of the plotting area in normalized
coordinates where 0 (1) corresponds to the left
(right). If set to a ax axis ID followed by
"domain" (separated by a space), the position
behaves like for "paper", but refers to the
distance in fractions of the domain length from
the left of the domain of that axis: e.g., *ax2
domain* refers to the domain of the second ax
axis and a ax position of 0.5 refers to the
point between the left and the right of the
domain of the second ax axis. In order for
absolute positioning of the arrow to work,
"axref" must be exactly the same as "xref",
otherwise "axref" will revert to "pixel"
(explained next). For relative positioning,
"axref" can be set to "pixel", in which case
the "ax" value is specified in pixels relative
to "x". Absolute positioning is useful for
trendline annotations which should continue to
indicate the correct trend when zoomed.
Relative positioning is useful for specifying
the text offset for an annotated point.
ay
Sets the y component of the arrow tail about
the arrow head. If `ayref` is `pixel`, a
positive (negative) component corresponds to an
arrow pointing from bottom to top (top to
bottom). If `ayref` is not `pixel` and is
exactly the same as `yref`, this is an absolute
value on that axis, like `y`, specified in the
same coordinates as `yref`.
ayref
Indicates in what coordinates the tail of the
annotation (ax,ay) is specified. If set to a ay
axis id (e.g. "ay" or "ay2"), the `ay` position
refers to a ay coordinate. If set to "paper",
the `ay` position refers to the distance from
the bottom of the plotting area in normalized
coordinates where 0 (1) corresponds to the
bottom (top). If set to a ay axis ID followed
by "domain" (separated by a space), the
position behaves like for "paper", but refers
to the distance in fractions of the domain
length from the bottom of the domain of that
axis: e.g., *ay2 domain* refers to the domain
of the second ay axis and a ay position of 0.5
refers to the point between the bottom and the
top of the domain of the second ay axis. In
order for absolute positioning of the arrow to
work, "ayref" must be exactly the same as
"yref", otherwise "ayref" will revert to
"pixel" (explained next). For relative
positioning, "ayref" can be set to "pixel", in
which case the "ay" value is specified in
pixels relative to "y". Absolute positioning is
useful for trendline annotations which should
continue to indicate the correct trend when
zoomed. Relative positioning is useful for
specifying the text offset for an annotated
point.
bgcolor
Sets the background color of the annotation.
bordercolor
Sets the color of the border enclosing the
annotation `text`.
borderpad
Sets the padding (in px) between the `text` and
the enclosing border.
borderwidth
Sets the width (in px) of the border enclosing
the annotation `text`.
captureevents
Determines whether the annotation text box
captures mouse move and click events, or allows
those events to pass through to data points in
the plot that may be behind the annotation. By
default `captureevents` is False unless
`hovertext` is provided. If you use the event
`plotly_clickannotation` without `hovertext`
you must explicitly enable `captureevents`.
clicktoshow
Makes this annotation respond to clicks on the
plot. If you click a data point that exactly
matches the `x` and `y` values of this
annotation, and it is hidden (visible: false),
it will appear. In "onoff" mode, you must click
the same point again to make it disappear, so
if you click multiple points, you can show
multiple annotations. In "onout" mode, a click
anywhere else in the plot (on another data
point or not) will hide this annotation. If you
need to show/hide this annotation in response
to different `x` or `y` values, you can set
`xclick` and/or `yclick`. This is useful for
example to label the side of a bar. To label
markers though, `standoff` is preferred over
`xclick` and `yclick`.
font
Sets the annotation text font.
height
Sets an explicit height for the text box. null
(default) lets the text set the box height.
Taller text will be clipped.
hoverlabel
:class:`plotly.graph_objects.layout.annotation.
Hoverlabel` instance or dict with compatible
properties
hovertext
Sets text to appear when hovering over this
annotation. If omitted or blank, no hover label
will appear.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
opacity
Sets the opacity of the annotation (text +
arrow).
showarrow
Determines whether or not the annotation is
drawn with an arrow. If True, `text` is placed
near the arrow's tail. If False, `text` lines
up with the `x` and `y` provided.
standoff
Sets a distance, in pixels, to move the end
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
startarrowhead
Sets the start annotation arrow head style.
startarrowsize
Sets the size of the start annotation arrow
head, relative to `arrowwidth`. A value of 1
(default) gives a head about 3x as wide as the
line.
startstandoff
Sets a distance, in pixels, to move the start
arrowhead away from the position it is pointing
at, for example to point at the edge of a
marker independent of zoom. Note that this
shortens the arrow from the `ax` / `ay` vector,
in contrast to `xshift` / `yshift` which moves
everything by this amount.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
text
Sets the text associated with this annotation.
Plotly uses a subset of HTML tags to do things
like newline (<br>), bold (<b></b>), italics
(<i></i>), hyperlinks (<a href='...'></a>).
Tags <em>, <sup>, <sub> <span> are also
supported.
textangle
Sets the angle at which the `text` is drawn
with respect to the horizontal.
valign
Sets the vertical alignment of the `text`
within the box. Has an effect only if an
explicit height is set to override the text
height.
visible
Determines whether or not this annotation is
visible.
width
Sets an explicit width for the text box. null
(default) lets the text set the box width.
Wider text will be clipped. There is no
automatic wrapping; use <br> to start a new
line.
x
Sets the annotation's x position. If the axis
`type` is "log", then you must take the log of
your desired range. If the axis `type` is
"date", it should be date strings, like date
data, though Date objects and unix milliseconds
will be accepted and converted to strings. If
the axis `type` is "category", it should be
numbers, using the scale where each category is
assigned a serial number from zero in the order
it appears.
xanchor
Sets the text box's horizontal position anchor
This anchor binds the `x` position to the
"left", "center" or "right" of the annotation.
For example, if `x` is set to 1, `xref` to
"paper" and `xanchor` to "right" then the
right-most portion of the annotation lines up
with the right-most edge of the plotting area.
If "auto", the anchor is equivalent to "center"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
xclick
Toggle this annotation when clicking a data
point whose `x` value is `xclick` rather than
the annotation's `x` value.
xref
Sets the annotation's x coordinate axis. If set
to a x axis id (e.g. "x" or "x2"), the `x`
position refers to a x coordinate. If set to
"paper", the `x` position refers to the
distance from the left of the plotting area in
normalized coordinates where 0 (1) corresponds
to the left (right). If set to a x axis ID
followed by "domain" (separated by a space),
the position behaves like for "paper", but
refers to the distance in fractions of the
domain length from the left of the domain of
that axis: e.g., *x2 domain* refers to the
domain of the second x axis and a x position
of 0.5 refers to the point between the left and
the right of the domain of the second x axis.
xshift
Shifts the position of the whole annotation and
arrow to the right (positive) or left
(negative) by this many pixels.
y
Sets the annotation's y position. If the axis
`type` is "log", then you must take the log of
your desired range. If the axis `type` is
"date", it should be date strings, like date
data, though Date objects and unix milliseconds
will be accepted and converted to strings. If
the axis `type` is "category", it should be
numbers, using the scale where each category is
assigned a serial number from zero in the order
it appears.
yanchor
Sets the text box's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the annotation.
For example, if `y` is set to 1, `yref` to
"paper" and `yanchor` to "top" then the top-
most portion of the annotation lines up with
the top-most edge of the plotting area. If
"auto", the anchor is equivalent to "middle"
for data-referenced annotations or if there is
an arrow, whereas for paper-referenced with no
arrow, the anchor picked corresponds to the
closest side.
yclick
Toggle this annotation when clicking a data
point whose `y` value is `yclick` rather than
the annotation's `y` value.
yref
Sets the annotation's y coordinate axis. If set
to a y axis id (e.g. "y" or "y2"), the `y`
position refers to a y coordinate. If set to
"paper", the `y` position refers to the
distance from the bottom of the plotting area
in normalized coordinates where 0 (1)
corresponds to the bottom (top). If set to a y
axis ID followed by "domain" (separated by a
space), the position behaves like for "paper",
but refers to the distance in fractions of the
domain length from the bottom of the domain of
that axis: e.g., *y2 domain* refers to the
domain of the second y axis and a y position
of 0.5 refers to the point between the bottom
and the top of the domain of the second y axis.
yshift
Shifts the position of the whole annotation and
arrow up (positive) or down (negative) by this
many pixels.
""",
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_autosize.py Normal file
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import _plotly_utils.basevalidators
class AutosizeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autosize", parent_name="layout", **kwargs):
super(AutosizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_autotypenumbers.py Normal file
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import _plotly_utils.basevalidators
class AutotypenumbersValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="autotypenumbers", parent_name="layout", **kwargs):
super(AutotypenumbersValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["convert types", "strict"]),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_bargap.py Normal file
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import _plotly_utils.basevalidators
class BargapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="bargap", parent_name="layout", **kwargs):
super(BargapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_bargroupgap.py Normal file
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import _plotly_utils.basevalidators
class BargroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="bargroupgap", parent_name="layout", **kwargs):
super(BargroupgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_barmode.py Normal file
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import _plotly_utils.basevalidators
class BarmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="barmode", parent_name="layout", **kwargs):
super(BarmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["stack", "group", "overlay", "relative"]),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_barnorm.py Normal file
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import _plotly_utils.basevalidators
class BarnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="barnorm", parent_name="layout", **kwargs):
super(BarnormValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["", "fraction", "percent"]),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_boxgap.py Normal file
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import _plotly_utils.basevalidators
class BoxgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="boxgap", parent_name="layout", **kwargs):
super(BoxgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_boxgroupgap.py Normal file
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import _plotly_utils.basevalidators
class BoxgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="boxgroupgap", parent_name="layout", **kwargs):
super(BoxgroupgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_boxmode.py Normal file
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import _plotly_utils.basevalidators
class BoxmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="boxmode", parent_name="layout", **kwargs):
super(BoxmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["group", "overlay"]),
**kwargs,
)

32
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import _plotly_utils.basevalidators
class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="calendar", parent_name="layout", **kwargs):
super(CalendarValidator, 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,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_clickmode.py Normal file
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import _plotly_utils.basevalidators
class ClickmodeValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="clickmode", parent_name="layout", **kwargs):
super(ClickmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
extras=kwargs.pop("extras", ["none"]),
flags=kwargs.pop("flags", ["event", "select"]),
**kwargs,
)

73
.venv/Lib/site-packages/plotly/validators/layout/_coloraxis.py Normal file
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import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="coloraxis", parent_name="layout", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Coloraxis"),
data_docs=kwargs.pop(
"data_docs",
"""
autocolorscale
Determines whether the colorscale is a default
palette (`autocolorscale: true`) or the palette
determined by `colorscale`. 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
corresponding trace color array(s)) or the
bounds set in `cmin` and `cmax` Defaults to
`false` when `cmin` and `cmax` are set by the
user.
cmax
Sets the upper bound of the color domain. Value
should have the same units as corresponding
trace color array(s) and if set, `cmin` must be
set as well.
cmid
Sets the mid-point of the color domain by
scaling `cmin` and/or `cmax` to be equidistant
to this point. Value should have the same units
as corresponding trace color array(s). Has no
effect when `cauto` is `false`.
cmin
Sets the lower bound of the color domain. Value
should have the same units as corresponding
trace color array(s) and if set, `cmax` must be
set as well.
colorbar
:class:`plotly.graph_objects.layout.coloraxis.C
olorBar` instance or dict with compatible
properties
colorscale
Sets the colorscale. 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 `cmin` and
`cmax`. Alternatively, `colorscale` may be a
palette name string of the following list: Blac
kbody,Bluered,Blues,Cividis,Earth,Electric,Gree
ns,Greys,Hot,Jet,Picnic,Portland,Rainbow,RdBu,R
eds,Viridis,YlGnBu,YlOrRd.
reversescale
Reverses the color mapping if true. If true,
`cmin` will correspond to the last color in the
array and `cmax` will correspond to the first
color.
showscale
Determines whether or not a colorbar is
displayed for this trace.
""",
),
**kwargs,
)

28
.venv/Lib/site-packages/plotly/validators/layout/_colorscale.py Normal file
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import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="colorscale", parent_name="layout", **kwargs):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Colorscale"),
data_docs=kwargs.pop(
"data_docs",
"""
diverging
Sets the default diverging colorscale. Note
that `autocolorscale` must be true for this
attribute to work.
sequential
Sets the default sequential colorscale for
positive values. Note that `autocolorscale`
must be true for this attribute to work.
sequentialminus
Sets the default sequential colorscale for
negative values. Note that `autocolorscale`
must be true for this attribute to work.
""",
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_colorway.py Normal file
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import _plotly_utils.basevalidators
class ColorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="colorway", parent_name="layout", **kwargs):
super(ColorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_computed.py Normal file
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import _plotly_utils.basevalidators
class ComputedValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="computed", parent_name="layout", **kwargs):
super(ComputedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_datarevision.py Normal file
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import _plotly_utils.basevalidators
class DatarevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="datarevision", parent_name="layout", **kwargs):
super(DatarevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

28
.venv/Lib/site-packages/plotly/validators/layout/_dragmode.py Normal file
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import _plotly_utils.basevalidators
class DragmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="dragmode", parent_name="layout", **kwargs):
super(DragmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "modebar"),
values=kwargs.pop(
"values",
[
"zoom",
"pan",
"select",
"lasso",
"drawclosedpath",
"drawopenpath",
"drawline",
"drawrect",
"drawcircle",
"orbit",
"turntable",
False,
],
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_editrevision.py Normal file
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import _plotly_utils.basevalidators
class EditrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="editrevision", parent_name="layout", **kwargs):
super(EditrevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_extendfunnelareacolors.py Normal file
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import _plotly_utils.basevalidators
class ExtendfunnelareacolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="extendfunnelareacolors", parent_name="layout", **kwargs
):
super(ExtendfunnelareacolorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_extendiciclecolors.py Normal file
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import _plotly_utils.basevalidators
class ExtendiciclecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="extendiciclecolors", parent_name="layout", **kwargs
):
super(ExtendiciclecolorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_extendpiecolors.py Normal file
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import _plotly_utils.basevalidators
class ExtendpiecolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="extendpiecolors", parent_name="layout", **kwargs):
super(ExtendpiecolorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_extendsunburstcolors.py Normal file
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import _plotly_utils.basevalidators
class ExtendsunburstcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="extendsunburstcolors", parent_name="layout", **kwargs
):
super(ExtendsunburstcolorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_extendtreemapcolors.py Normal file
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import _plotly_utils.basevalidators
class ExtendtreemapcolorsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="extendtreemapcolors", parent_name="layout", **kwargs
):
super(ExtendtreemapcolorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

37
.venv/Lib/site-packages/plotly/validators/layout/_font.py Normal file
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import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="font", parent_name="layout", **kwargs):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Font"),
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,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_funnelareacolorway.py Normal file
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import _plotly_utils.basevalidators
class FunnelareacolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(
self, plotly_name="funnelareacolorway", parent_name="layout", **kwargs
):
super(FunnelareacolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_funnelgap.py Normal file
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import _plotly_utils.basevalidators
class FunnelgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="funnelgap", parent_name="layout", **kwargs):
super(FunnelgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_funnelgroupgap.py Normal file
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import _plotly_utils.basevalidators
class FunnelgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="funnelgroupgap", parent_name="layout", **kwargs):
super(FunnelgroupgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_funnelmode.py Normal file
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import _plotly_utils.basevalidators
class FunnelmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="funnelmode", parent_name="layout", **kwargs):
super(FunnelmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["stack", "group", "overlay"]),
**kwargs,
)

114
.venv/Lib/site-packages/plotly/validators/layout/_geo.py Normal file
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import _plotly_utils.basevalidators
class GeoValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="geo", parent_name="layout", **kwargs):
super(GeoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Geo"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Set the background color of the map
center
:class:`plotly.graph_objects.layout.geo.Center`
instance or dict with compatible properties
coastlinecolor
Sets the coastline color.
coastlinewidth
Sets the coastline stroke width (in px).
countrycolor
Sets line color of the country boundaries.
countrywidth
Sets line width (in px) of the country
boundaries.
domain
:class:`plotly.graph_objects.layout.geo.Domain`
instance or dict with compatible properties
fitbounds
Determines if this subplot's view settings are
auto-computed to fit trace data. On scoped
maps, setting `fitbounds` leads to `center.lon`
and `center.lat` getting auto-filled. On maps
with a non-clipped projection, setting
`fitbounds` leads to `center.lon`,
`center.lat`, and `projection.rotation.lon`
getting auto-filled. On maps with a clipped
projection, setting `fitbounds` leads to
`center.lon`, `center.lat`,
`projection.rotation.lon`,
`projection.rotation.lat`, `lonaxis.range` and
`lonaxis.range` getting auto-filled. If
"locations", only the trace's visible locations
are considered in the `fitbounds` computations.
If "geojson", the entire trace input `geojson`
(if provided) is considered in the `fitbounds`
computations, Defaults to False.
framecolor
Sets the color the frame.
framewidth
Sets the stroke width (in px) of the frame.
lakecolor
Sets the color of the lakes.
landcolor
Sets the land mass color.
lataxis
:class:`plotly.graph_objects.layout.geo.Lataxis
` instance or dict with compatible properties
lonaxis
:class:`plotly.graph_objects.layout.geo.Lonaxis
` instance or dict with compatible properties
oceancolor
Sets the ocean color
projection
:class:`plotly.graph_objects.layout.geo.Project
ion` instance or dict with compatible
properties
resolution
Sets the resolution of the base layers. The
values have units of km/mm e.g. 110 corresponds
to a scale ratio of 1:110,000,000.
rivercolor
Sets color of the rivers.
riverwidth
Sets the stroke width (in px) of the rivers.
scope
Set the scope of the map.
showcoastlines
Sets whether or not the coastlines are drawn.
showcountries
Sets whether or not country boundaries are
drawn.
showframe
Sets whether or not a frame is drawn around the
map.
showlakes
Sets whether or not lakes are drawn.
showland
Sets whether or not land masses are filled in
color.
showocean
Sets whether or not oceans are filled in color.
showrivers
Sets whether or not rivers are drawn.
showsubunits
Sets whether or not boundaries of subunits
within countries (e.g. states, provinces) are
drawn.
subunitcolor
Sets the color of the subunits boundaries.
subunitwidth
Sets the stroke width (in px) of the subunits
boundaries.
uirevision
Controls persistence of user-driven changes in
the view (projection and center). Defaults to
`layout.uirevision`.
visible
Sets the default visibility of the base layers.
""",
),
**kwargs,
)

95
.venv/Lib/site-packages/plotly/validators/layout/_grid.py Normal file
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import _plotly_utils.basevalidators
class GridValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="grid", parent_name="layout", **kwargs):
super(GridValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Grid"),
data_docs=kwargs.pop(
"data_docs",
"""
columns
The number of columns in the grid. If you
provide a 2D `subplots` array, the length of
its longest row is used as the default. If you
give an `xaxes` array, its length is used as
the default. But it's also possible to have a
different length, if you want to leave a row at
the end for non-cartesian subplots.
domain
:class:`plotly.graph_objects.layout.grid.Domain
` instance or dict with compatible properties
pattern
If no `subplots`, `xaxes`, or `yaxes` are given
but we do have `rows` and `columns`, we can
generate defaults using consecutive axis IDs,
in two ways: "coupled" gives one x axis per
column and one y axis per row. "independent"
uses a new xy pair for each cell, left-to-right
across each row then iterating rows according
to `roworder`.
roworder
Is the first row the top or the bottom? Note
that columns are always enumerated from left to
right.
rows
The number of rows in the grid. If you provide
a 2D `subplots` array or a `yaxes` array, its
length is used as the default. But it's also
possible to have a different length, if you
want to leave a row at the end for non-
cartesian subplots.
subplots
Used for freeform grids, where some axes may be
shared across subplots but others are not. Each
entry should be a cartesian subplot id, like
"xy" or "x3y2", or "" to leave that cell empty.
You may reuse x axes within the same column,
and y axes within the same row. Non-cartesian
subplots and traces that support `domain` can
place themselves in this grid separately using
the `gridcell` attribute.
xaxes
Used with `yaxes` when the x and y axes are
shared across columns and rows. Each entry
should be an x axis id like "x", "x2", etc., or
"" to not put an x axis in that column. Entries
other than "" must be unique. Ignored if
`subplots` is present. If missing but `yaxes`
is present, will generate consecutive IDs.
xgap
Horizontal space between grid cells, expressed
as a fraction of the total width available to
one cell. Defaults to 0.1 for coupled-axes
grids and 0.2 for independent grids.
xside
Sets where the x axis labels and titles go.
"bottom" means the very bottom of the grid.
"bottom plot" is the lowest plot that each x
axis is used in. "top" and "top plot" are
similar.
yaxes
Used with `yaxes` when the x and y axes are
shared across columns and rows. Each entry
should be an y axis id like "y", "y2", etc., or
"" to not put a y axis in that row. Entries
other than "" must be unique. Ignored if
`subplots` is present. If missing but `xaxes`
is present, will generate consecutive IDs.
ygap
Vertical space between grid cells, expressed as
a fraction of the total height available to one
cell. Defaults to 0.1 for coupled-axes grids
and 0.3 for independent grids.
yside
Sets where the y axis labels and titles go.
"left" means the very left edge of the grid.
*left plot* is the leftmost plot that each y
axis is used in. "right" and *right plot* are
similar.
""",
),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_height.py Normal file
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import _plotly_utils.basevalidators
class HeightValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="height", parent_name="layout", **kwargs):
super(HeightValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 10),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_hiddenlabels.py Normal file
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import _plotly_utils.basevalidators
class HiddenlabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="hiddenlabels", parent_name="layout", **kwargs):
super(HiddenlabelsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_hiddenlabelssrc.py Normal file
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import _plotly_utils.basevalidators
class HiddenlabelssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hiddenlabelssrc", parent_name="layout", **kwargs):
super(HiddenlabelssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_hidesources.py Normal file
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import _plotly_utils.basevalidators
class HidesourcesValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="hidesources", parent_name="layout", **kwargs):
super(HidesourcesValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_hoverdistance.py Normal file
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import _plotly_utils.basevalidators
class HoverdistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="hoverdistance", parent_name="layout", **kwargs):
super(HoverdistanceValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
min=kwargs.pop("min", -1),
**kwargs,
)

43
.venv/Lib/site-packages/plotly/validators/layout/_hoverlabel.py Normal file
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import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="hoverlabel", parent_name="layout", **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
bgcolor
Sets the background color of all hover labels
on graph
bordercolor
Sets the border color of all hover labels on
graph.
font
Sets the default hover label font used by all
traces on the graph.
grouptitlefont
Sets the font for group titles in hover
(unified modes). Defaults to `hoverlabel.font`.
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.
""",
),
**kwargs,
)

14
.venv/Lib/site-packages/plotly/validators/layout/_hovermode.py Normal file
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import _plotly_utils.basevalidators
class HovermodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="hovermode", parent_name="layout", **kwargs):
super(HovermodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "modebar"),
values=kwargs.pop(
"values", ["x", "y", "closest", False, "x unified", "y unified"]
),
**kwargs,
)

11
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import _plotly_utils.basevalidators
class IciclecolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="iciclecolorway", parent_name="layout", **kwargs):
super(IciclecolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

16
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import _plotly_utils.basevalidators
class ImagedefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="imagedefaults", parent_name="layout", **kwargs):
super(ImagedefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Image"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class ImagesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="images", parent_name="layout", **kwargs):
super(ImagesValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Image"),
data_docs=kwargs.pop(
"data_docs",
"""
layer
Specifies whether images are drawn below or
above traces. When `xref` and `yref` are both
set to `paper`, image is drawn below the entire
plot area.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
opacity
Sets the opacity of the image.
sizex
Sets the image container size horizontally. The
image will be sized based on the `position`
value. When `xref` is set to `paper`, units are
sized relative to the plot width. When `xref`
ends with ` domain`, units are sized relative
to the axis width.
sizey
Sets the image container size vertically. The
image will be sized based on the `position`
value. When `yref` is set to `paper`, units are
sized relative to the plot height. When `yref`
ends with ` domain`, units are sized relative
to the axis height.
sizing
Specifies which dimension of the image to
constrain.
source
Specifies the URL of the image to be used. The
URL must be accessible from the domain where
the plot code is run, and can be either
relative or absolute.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
visible
Determines whether or not this image is
visible.
x
Sets the image's x position. When `xref` is set
to `paper`, units are sized relative to the
plot height. See `xref` for more info
xanchor
Sets the anchor for the x position
xref
Sets the images's x coordinate axis. If set to
a x axis id (e.g. "x" or "x2"), the `x`
position refers to a x coordinate. If set to
"paper", the `x` position refers to the
distance from the left of the plotting area in
normalized coordinates where 0 (1) corresponds
to the left (right). If set to a x axis ID
followed by "domain" (separated by a space),
the position behaves like for "paper", but
refers to the distance in fractions of the
domain length from the left of the domain of
that axis: e.g., *x2 domain* refers to the
domain of the second x axis and a x position
of 0.5 refers to the point between the left and
the right of the domain of the second x axis.
y
Sets the image's y position. When `yref` is set
to `paper`, units are sized relative to the
plot height. See `yref` for more info
yanchor
Sets the anchor for the y position.
yref
Sets the images's y coordinate axis. If set to
a y axis id (e.g. "y" or "y2"), the `y`
position refers to a y coordinate. If set to
"paper", the `y` position refers to the
distance from the bottom of the plotting area
in normalized coordinates where 0 (1)
corresponds to the bottom (top). If set to a y
axis ID followed by "domain" (separated by a
space), the position behaves like for "paper",
but refers to the distance in fractions of the
domain length from the bottom of the domain of
that axis: e.g., *y2 domain* refers to the
domain of the second y axis and a y position
of 0.5 refers to the point between the bottom
and the top of the domain of the second y axis.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="legend", parent_name="layout", **kwargs):
super(LegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Legend"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Sets the legend background color. Defaults to
`layout.paper_bgcolor`.
bordercolor
Sets the color of the border enclosing the
legend.
borderwidth
Sets the width (in px) of the border enclosing
the legend.
font
Sets the font used to text the legend items.
groupclick
Determines the behavior on legend group item
click. "toggleitem" toggles the visibility of
the individual item clicked on the graph.
"togglegroup" toggles the visibility of all
items in the same legendgroup as the item
clicked on the graph.
grouptitlefont
Sets the font for group titles in legend.
Defaults to `legend.font` with its size
increased about 10%.
itemclick
Determines the behavior on legend item click.
"toggle" toggles the visibility of the item
clicked on the graph. "toggleothers" makes the
clicked item the sole visible item on the
graph. False disables legend item click
interactions.
itemdoubleclick
Determines the behavior on legend item double-
click. "toggle" toggles the visibility of the
item clicked on the graph. "toggleothers" makes
the clicked item the sole visible item on the
graph. False disables legend item double-click
interactions.
itemsizing
Determines if the legend items symbols scale
with their corresponding "trace" attributes or
remain "constant" independent of the symbol
size on the graph.
itemwidth
Sets the width (in px) of the legend item
symbols (the part other than the title.text).
orientation
Sets the orientation of the legend.
title
:class:`plotly.graph_objects.layout.legend.Titl
e` instance or dict with compatible properties
tracegroupgap
Sets the amount of vertical space (in px)
between legend groups.
traceorder
Determines the order at which the legend items
are displayed. If "normal", the items are
displayed top-to-bottom in the same order as
the input data. If "reversed", the items are
displayed in the opposite order as "normal". If
"grouped", the items are displayed in groups
(when a trace `legendgroup` is provided). if
"grouped+reversed", the items are displayed in
the opposite order as "grouped".
uirevision
Controls persistence of legend-driven changes
in trace and pie label visibility. Defaults to
`layout.uirevision`.
valign
Sets the vertical alignment of the symbols with
respect to their associated text.
x
Sets the x position (in normalized coordinates)
of the legend. Defaults to 1.02 for vertical
legends and defaults to 0 for horizontal
legends.
xanchor
Sets the legend's horizontal position anchor.
This anchor binds the `x` position to the
"left", "center" or "right" of the legend.
Value "auto" anchors legends to the right for
`x` values greater than or equal to 2/3,
anchors legends to the left for `x` values less
than or equal to 1/3 and anchors legends with
respect to their center otherwise.
y
Sets the y position (in normalized coordinates)
of the legend. Defaults to 1 for vertical
legends, defaults to "-0.1" for horizontal
legends on graphs w/o range sliders and
defaults to 1.1 for horizontal legends on graph
with one or multiple range sliders.
yanchor
Sets the legend's vertical position anchor This
anchor binds the `y` position to the "top",
"middle" or "bottom" of the legend. Value
"auto" anchors legends at their bottom for `y`
values less than or equal to 1/3, anchors
legends to at their top for `y` values greater
than or equal to 2/3 and anchors legends with
respect to their middle otherwise.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="mapbox", parent_name="layout", **kwargs):
super(MapboxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Mapbox"),
data_docs=kwargs.pop(
"data_docs",
"""
accesstoken
Sets the mapbox access token to be used for
this mapbox map. Alternatively, the mapbox
access token can be set in the configuration
options under `mapboxAccessToken`. Note that
accessToken are only required when `style` (e.g
with values : basic, streets, outdoors, light,
dark, satellite, satellite-streets ) and/or a
layout layer references the Mapbox server.
bearing
Sets the bearing angle of the map in degrees
counter-clockwise from North (mapbox.bearing).
center
:class:`plotly.graph_objects.layout.mapbox.Cent
er` instance or dict with compatible properties
domain
:class:`plotly.graph_objects.layout.mapbox.Doma
in` instance or dict with compatible properties
layers
A tuple of :class:`plotly.graph_objects.layout.
mapbox.Layer` instances or dicts with
compatible properties
layerdefaults
When used in a template (as
layout.template.layout.mapbox.layerdefaults),
sets the default property values to use for
elements of layout.mapbox.layers
pitch
Sets the pitch angle of the map (in degrees,
where 0 means perpendicular to the surface of
the map) (mapbox.pitch).
style
Defines the map layers that are rendered by
default below the trace layers defined in
`data`, which are themselves by default
rendered below the layers defined in
`layout.mapbox.layers`. These layers can be
defined either explicitly as a Mapbox Style
object which can contain multiple layer
definitions that load data from any public or
private Tile Map Service (TMS or XYZ) or Web
Map Service (WMS) or implicitly by using one of
the built-in style objects which use WMSes
which do not require any access tokens, or by
using a default Mapbox style or custom Mapbox
style URL, both of which require a Mapbox
access token Note that Mapbox access token can
be set in the `accesstoken` attribute or in the
`mapboxAccessToken` config option. Mapbox
Style objects are of the form described in the
Mapbox GL JS documentation available at
https://docs.mapbox.com/mapbox-gl-js/style-spec
The built-in plotly.js styles objects are:
carto-darkmatter, carto-positron, open-street-
map, stamen-terrain, stamen-toner, stamen-
watercolor, white-bg The built-in Mapbox
styles are: basic, streets, outdoors, light,
dark, satellite, satellite-streets Mapbox
style URLs are of the form:
mapbox://mapbox.mapbox-<name>-<version>
uirevision
Controls persistence of user-driven changes in
the view: `center`, `zoom`, `bearing`, `pitch`.
Defaults to `layout.uirevision`.
zoom
Sets the zoom level of the map (mapbox.zoom).
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MarginValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="margin", parent_name="layout", **kwargs):
super(MarginValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Margin"),
data_docs=kwargs.pop(
"data_docs",
"""
autoexpand
Turns on/off margin expansion computations.
Legends, colorbars, updatemenus, sliders, axis
rangeselector and rangeslider are allowed to
push the margins by defaults.
b
Sets the bottom margin (in px).
l
Sets the left margin (in px).
pad
Sets the amount of padding (in px) between the
plotting area and the axis lines
r
Sets the right margin (in px).
t
Sets the top margin (in px).
""",
),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_meta.py Normal file
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import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="layout", **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,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_metasrc.py Normal file
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import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="layout", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

72
.venv/Lib/site-packages/plotly/validators/layout/_modebar.py Normal file
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import _plotly_utils.basevalidators
class ModebarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="modebar", parent_name="layout", **kwargs):
super(ModebarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Modebar"),
data_docs=kwargs.pop(
"data_docs",
"""
activecolor
Sets the color of the active or hovered on
icons in the modebar.
add
Determines which predefined modebar buttons to
add. Please note that these buttons will only
be shown if they are compatible with all trace
types used in a graph. Similar to
`config.modeBarButtonsToAdd` option. This may
include "v1hovermode", "hoverclosest",
"hovercompare", "togglehover",
"togglespikelines", "drawline", "drawopenpath",
"drawclosedpath", "drawcircle", "drawrect",
"eraseshape".
addsrc
Sets the source reference on Chart Studio Cloud
for `add`.
bgcolor
Sets the background color of the modebar.
color
Sets the color of the icons in the modebar.
orientation
Sets the orientation of the modebar.
remove
Determines which predefined modebar buttons to
remove. Similar to
`config.modeBarButtonsToRemove` option. This
may include "autoScale2d", "autoscale",
"editInChartStudio", "editinchartstudio",
"hoverCompareCartesian", "hovercompare",
"lasso", "lasso2d", "orbitRotation",
"orbitrotation", "pan", "pan2d", "pan3d",
"reset", "resetCameraDefault3d",
"resetCameraLastSave3d", "resetGeo",
"resetSankeyGroup", "resetScale2d",
"resetViewMapbox", "resetViews",
"resetcameradefault", "resetcameralastsave",
"resetsankeygroup", "resetscale", "resetview",
"resetviews", "select", "select2d",
"sendDataToCloud", "senddatatocloud",
"tableRotation", "tablerotation", "toImage",
"toggleHover", "toggleSpikelines",
"togglehover", "togglespikelines", "toimage",
"zoom", "zoom2d", "zoom3d", "zoomIn2d",
"zoomInGeo", "zoomInMapbox", "zoomOut2d",
"zoomOutGeo", "zoomOutMapbox", "zoomin",
"zoomout".
removesrc
Sets the source reference on Chart Studio Cloud
for `remove`.
uirevision
Controls persistence of user-driven changes
related to the modebar, including `hovermode`,
`dragmode`, and `showspikes` at both the root
level and inside subplots. Defaults to
`layout.uirevision`.
""",
),
**kwargs,
)

43
.venv/Lib/site-packages/plotly/validators/layout/_newshape.py Normal file
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import _plotly_utils.basevalidators
class NewshapeValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="newshape", parent_name="layout", **kwargs):
super(NewshapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Newshape"),
data_docs=kwargs.pop(
"data_docs",
"""
drawdirection
When `dragmode` is set to "drawrect",
"drawline" or "drawcircle" this limits the drag
to be horizontal, vertical or diagonal. Using
"diagonal" there is no limit e.g. in drawing
lines in any direction. "ortho" limits the draw
to be either horizontal or vertical.
"horizontal" allows horizontal extend.
"vertical" allows vertical extend.
fillcolor
Sets the color filling new shapes' interior.
Please note that if using a fillcolor with
alpha greater than half, drag inside the active
shape starts moving the shape underneath,
otherwise a new shape could be started over.
fillrule
Determines the path's interior. For more info
please visit https://developer.mozilla.org/en-
US/docs/Web/SVG/Attribute/fill-rule
layer
Specifies whether new shapes are drawn below or
above traces.
line
:class:`plotly.graph_objects.layout.newshape.Li
ne` instance or dict with compatible properties
opacity
Sets the opacity of new shapes.
""",
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_paper_bgcolor.py Normal file
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import _plotly_utils.basevalidators
class Paper_BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="paper_bgcolor", parent_name="layout", **kwargs):
super(Paper_BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_piecolorway.py Normal file
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import _plotly_utils.basevalidators
class PiecolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="piecolorway", parent_name="layout", **kwargs):
super(PiecolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_plot_bgcolor.py Normal file
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import _plotly_utils.basevalidators
class Plot_BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="plot_bgcolor", parent_name="layout", **kwargs):
super(Plot_BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "layoutstyle"),
**kwargs,
)

64
.venv/Lib/site-packages/plotly/validators/layout/_polar.py Normal file
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import _plotly_utils.basevalidators
class PolarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="polar", parent_name="layout", **kwargs):
super(PolarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Polar"),
data_docs=kwargs.pop(
"data_docs",
"""
angularaxis
:class:`plotly.graph_objects.layout.polar.Angul
arAxis` instance or dict with compatible
properties
bargap
Sets the gap between bars of adjacent location
coordinates. Values are unitless, they
represent fractions of the minimum difference
in bar positions in the data.
barmode
Determines how bars at the same location
coordinate are displayed on the graph. With
"stack", the bars are stacked on top of one
another With "overlay", the bars are plotted
over one another, you might need to an
"opacity" to see multiple bars.
bgcolor
Set the background color of the subplot
domain
:class:`plotly.graph_objects.layout.polar.Domai
n` instance or dict with compatible properties
gridshape
Determines if the radial axis grid lines and
angular axis line are drawn as "circular"
sectors or as "linear" (polygon) sectors. Has
an effect only when the angular axis has `type`
"category". Note that `radialaxis.angle` is
snapped to the angle of the closest vertex when
`gridshape` is "circular" (so that radial axis
scale is the same as the data scale).
hole
Sets the fraction of the radius to cut out of
the polar subplot.
radialaxis
:class:`plotly.graph_objects.layout.polar.Radia
lAxis` instance or dict with compatible
properties
sector
Sets angular span of this polar subplot with
two angles (in degrees). Sector are assumed to
be spanned in the counterclockwise direction
with 0 corresponding to rightmost limit of the
polar subplot.
uirevision
Controls persistence of user-driven changes in
axis attributes, if not overridden in the
individual axes. Defaults to
`layout.uirevision`.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class SceneValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="scene", parent_name="layout", **kwargs):
super(SceneValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Scene"),
data_docs=kwargs.pop(
"data_docs",
"""
annotations
A tuple of :class:`plotly.graph_objects.layout.
scene.Annotation` instances or dicts with
compatible properties
annotationdefaults
When used in a template (as layout.template.lay
out.scene.annotationdefaults), sets the default
property values to use for elements of
layout.scene.annotations
aspectmode
If "cube", this scene's axes are drawn as a
cube, regardless of the axes' ranges. If
"data", this scene's axes are drawn in
proportion with the axes' ranges. If "manual",
this scene's axes are drawn in proportion with
the input of "aspectratio" (the default
behavior if "aspectratio" is provided). If
"auto", this scene's axes are drawn using the
results of "data" except when one axis is more
than four times the size of the two others,
where in that case the results of "cube" are
used.
aspectratio
Sets this scene's axis aspectratio.
bgcolor
camera
:class:`plotly.graph_objects.layout.scene.Camer
a` instance or dict with compatible properties
domain
:class:`plotly.graph_objects.layout.scene.Domai
n` instance or dict with compatible properties
dragmode
Determines the mode of drag interactions for
this scene.
hovermode
Determines the mode of hover interactions for
this scene.
uirevision
Controls persistence of user-driven changes in
camera attributes. Defaults to
`layout.uirevision`.
xaxis
:class:`plotly.graph_objects.layout.scene.XAxis
` instance or dict with compatible properties
yaxis
:class:`plotly.graph_objects.layout.scene.YAxis
` instance or dict with compatible properties
zaxis
:class:`plotly.graph_objects.layout.scene.ZAxis
` instance or dict with compatible properties
""",
),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_selectdirection.py Normal file
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import _plotly_utils.basevalidators
class SelectdirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="selectdirection", parent_name="layout", **kwargs):
super(SelectdirectionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
values=kwargs.pop("values", ["h", "v", "d", "any"]),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_selectionrevision.py Normal file
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import _plotly_utils.basevalidators
class SelectionrevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="selectionrevision", parent_name="layout", **kwargs):
super(SelectionrevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_separators.py Normal file
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import _plotly_utils.basevalidators
class SeparatorsValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="separators", parent_name="layout", **kwargs):
super(SeparatorsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

16
.venv/Lib/site-packages/plotly/validators/layout/_shapedefaults.py Normal file
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import _plotly_utils.basevalidators
class ShapedefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="shapedefaults", parent_name="layout", **kwargs):
super(ShapedefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Shape"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShapesValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="shapes", parent_name="layout", **kwargs):
super(ShapesValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Shape"),
data_docs=kwargs.pop(
"data_docs",
"""
editable
Determines whether the shape could be activated
for edit or not. Has no effect when the older
editable shapes mode is enabled via
`config.editable` or
`config.edits.shapePosition`.
fillcolor
Sets the color filling the shape's interior.
Only applies to closed shapes.
fillrule
Determines which regions of complex paths
constitute the interior. For more info please
visit https://developer.mozilla.org/en-
US/docs/Web/SVG/Attribute/fill-rule
layer
Specifies whether shapes are drawn below or
above traces.
line
:class:`plotly.graph_objects.layout.shape.Line`
instance or dict with compatible properties
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
opacity
Sets the opacity of the shape.
path
For `type` "path" - a valid SVG path with the
pixel values replaced by data values in
`xsizemode`/`ysizemode` being "scaled" and
taken unmodified as pixels relative to
`xanchor` and `yanchor` in case of "pixel" size
mode. There are a few restrictions / quirks
only absolute instructions, not relative. So
the allowed segments are: M, L, H, V, Q, C, T,
S, and Z arcs (A) are not allowed because
radius rx and ry are relative. In the future we
could consider supporting relative commands,
but we would have to decide on how to handle
date and log axes. Note that even as is, Q and
C Bezier paths that are smooth on linear axes
may not be smooth on log, and vice versa. no
chained "polybezier" commands - specify the
segment type for each one. On category axes,
values are numbers scaled to the serial numbers
of categories because using the categories
themselves there would be no way to describe
fractional positions On data axes: because
space and T are both normal components of path
strings, we can't use either to separate date
from time parts. Therefore we'll use underscore
for this purpose: 2015-02-21_13:45:56.789
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
type
Specifies the shape type to be drawn. If
"line", a line is drawn from (`x0`,`y0`) to
(`x1`,`y1`) with respect to the axes' sizing
mode. If "circle", a circle is drawn from
((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius
(|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2
-`y0`)|) with respect to the axes' sizing mode.
If "rect", a rectangle is drawn linking
(`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`),
(`x0`,`y1`), (`x0`,`y0`) with respect to the
axes' sizing mode. If "path", draw a custom SVG
path using `path`. with respect to the axes'
sizing mode.
visible
Determines whether or not this shape is
visible.
x0
Sets the shape's starting x position. See
`type` and `xsizemode` for more info.
x1
Sets the shape's end x position. See `type` and
`xsizemode` for more info.
xanchor
Only relevant in conjunction with `xsizemode`
set to "pixel". Specifies the anchor point on
the x axis to which `x0`, `x1` and x
coordinates within `path` are relative to. E.g.
useful to attach a pixel sized shape to a
certain data value. No effect when `xsizemode`
not set to "pixel".
xref
Sets the shape's x coordinate axis. If set to a
x axis id (e.g. "x" or "x2"), the `x` position
refers to a x coordinate. If set to "paper",
the `x` position refers to the distance from
the left of the plotting area in normalized
coordinates where 0 (1) corresponds to the left
(right). If set to a x axis ID followed by
"domain" (separated by a space), the position
behaves like for "paper", but refers to the
distance in fractions of the domain length from
the left of the domain of that axis: e.g., *x2
domain* refers to the domain of the second x
axis and a x position of 0.5 refers to the
point between the left and the right of the
domain of the second x axis. If the axis `type`
is "log", then you must take the log of your
desired range. If the axis `type` is "date",
then you must convert the date to unix time in
milliseconds.
xsizemode
Sets the shapes's sizing mode along the x axis.
If set to "scaled", `x0`, `x1` and x
coordinates within `path` refer to data values
on the x axis or a fraction of the plot area's
width (`xref` set to "paper"). If set to
"pixel", `xanchor` specifies the x position in
terms of data or plot fraction but `x0`, `x1`
and x coordinates within `path` are pixels
relative to `xanchor`. This way, the shape can
have a fixed width while maintaining a position
relative to data or plot fraction.
y0
Sets the shape's starting y position. See
`type` and `ysizemode` for more info.
y1
Sets the shape's end y position. See `type` and
`ysizemode` for more info.
yanchor
Only relevant in conjunction with `ysizemode`
set to "pixel". Specifies the anchor point on
the y axis to which `y0`, `y1` and y
coordinates within `path` are relative to. E.g.
useful to attach a pixel sized shape to a
certain data value. No effect when `ysizemode`
not set to "pixel".
yref
Sets the annotation's y coordinate axis. If set
to a y axis id (e.g. "y" or "y2"), the `y`
position refers to a y coordinate. If set to
"paper", the `y` position refers to the
distance from the bottom of the plotting area
in normalized coordinates where 0 (1)
corresponds to the bottom (top). If set to a y
axis ID followed by "domain" (separated by a
space), the position behaves like for "paper",
but refers to the distance in fractions of the
domain length from the bottom of the domain of
that axis: e.g., *y2 domain* refers to the
domain of the second y axis and a y position
of 0.5 refers to the point between the bottom
and the top of the domain of the second y axis.
ysizemode
Sets the shapes's sizing mode along the y axis.
If set to "scaled", `y0`, `y1` and y
coordinates within `path` refer to data values
on the y axis or a fraction of the plot area's
height (`yref` set to "paper"). If set to
"pixel", `yanchor` specifies the y position in
terms of data or plot fraction but `y0`, `y1`
and y coordinates within `path` are pixels
relative to `yanchor`. This way, the shape can
have a fixed height while maintaining a
position relative to data or plot fraction.
""",
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_showlegend.py Normal file
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import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="layout", **kwargs):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "legend"),
**kwargs,
)

16
.venv/Lib/site-packages/plotly/validators/layout/_sliderdefaults.py Normal file
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import _plotly_utils.basevalidators
class SliderdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="sliderdefaults", parent_name="layout", **kwargs):
super(SliderdefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Slider"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

110
.venv/Lib/site-packages/plotly/validators/layout/_sliders.py Normal file
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import _plotly_utils.basevalidators
class SlidersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="sliders", parent_name="layout", **kwargs):
super(SlidersValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Slider"),
data_docs=kwargs.pop(
"data_docs",
"""
active
Determines which button (by index starting from
0) is considered active.
activebgcolor
Sets the background color of the slider grip
while dragging.
bgcolor
Sets the background color of the slider.
bordercolor
Sets the color of the border enclosing the
slider.
borderwidth
Sets the width (in px) of the border enclosing
the slider.
currentvalue
:class:`plotly.graph_objects.layout.slider.Curr
entvalue` instance or dict with compatible
properties
font
Sets the font of the slider step labels.
len
Sets the length of the slider This measure
excludes the padding of both ends. That is, the
slider's length is this length minus the
padding on both ends.
lenmode
Determines whether this slider length is set in
units of plot "fraction" or in *pixels. Use
`len` to set the value.
minorticklen
Sets the length in pixels of minor step tick
marks
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
pad
Set the padding of the slider component along
each side.
steps
A tuple of :class:`plotly.graph_objects.layout.
slider.Step` instances or dicts with compatible
properties
stepdefaults
When used in a template (as
layout.template.layout.slider.stepdefaults),
sets the default property values to use for
elements of layout.slider.steps
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
tickcolor
Sets the color of the border enclosing the
slider.
ticklen
Sets the length in pixels of step tick marks
tickwidth
Sets the tick width (in px).
transition
:class:`plotly.graph_objects.layout.slider.Tran
sition` instance or dict with compatible
properties
visible
Determines whether or not the slider is
visible.
x
Sets the x position (in normalized coordinates)
of the slider.
xanchor
Sets the slider's horizontal position anchor.
This anchor binds the `x` position to the
"left", "center" or "right" of the range
selector.
y
Sets the y position (in normalized coordinates)
of the slider.
yanchor
Sets the slider's vertical position anchor This
anchor binds the `y` position to the "top",
"middle" or "bottom" of the range selector.
""",
),
**kwargs,
)

29
.venv/Lib/site-packages/plotly/validators/layout/_smith.py Normal file
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import _plotly_utils.basevalidators
class SmithValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="smith", parent_name="layout", **kwargs):
super(SmithValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Smith"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Set the background color of the subplot
domain
:class:`plotly.graph_objects.layout.smith.Domai
n` instance or dict with compatible properties
imaginaryaxis
:class:`plotly.graph_objects.layout.smith.Imagi
naryaxis` instance or dict with compatible
properties
realaxis
:class:`plotly.graph_objects.layout.smith.Reala
xis` instance or dict with compatible
properties
""",
),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/_spikedistance.py Normal file
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import _plotly_utils.basevalidators
class SpikedistanceValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="spikedistance", parent_name="layout", **kwargs):
super(SpikedistanceValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
min=kwargs.pop("min", -1),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_sunburstcolorway.py Normal file
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import _plotly_utils.basevalidators
class SunburstcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="sunburstcolorway", parent_name="layout", **kwargs):
super(SunburstcolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

22
.venv/Lib/site-packages/plotly/validators/layout/_template.py Normal file
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import _plotly_utils.basevalidators
class TemplateValidator(_plotly_utils.basevalidators.BaseTemplateValidator):
def __init__(self, plotly_name="template", parent_name="layout", **kwargs):
super(TemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Template"),
data_docs=kwargs.pop(
"data_docs",
"""
data
:class:`plotly.graph_objects.layout.template.Da
ta` instance or dict with compatible properties
layout
:class:`plotly.graph_objects.Layout` instance
or dict with compatible properties
""",
),
**kwargs,
)

39
.venv/Lib/site-packages/plotly/validators/layout/_ternary.py Normal file
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import _plotly_utils.basevalidators
class TernaryValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="ternary", parent_name="layout", **kwargs):
super(TernaryValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Ternary"),
data_docs=kwargs.pop(
"data_docs",
"""
aaxis
:class:`plotly.graph_objects.layout.ternary.Aax
is` instance or dict with compatible properties
baxis
:class:`plotly.graph_objects.layout.ternary.Bax
is` instance or dict with compatible properties
bgcolor
Set the background color of the subplot
caxis
:class:`plotly.graph_objects.layout.ternary.Cax
is` instance or dict with compatible properties
domain
:class:`plotly.graph_objects.layout.ternary.Dom
ain` instance or dict with compatible
properties
sum
The number each triplet should sum to, and the
maximum range of each axis
uirevision
Controls persistence of user-driven changes in
axis `min` and `title`, if not overridden in
the individual axes. Defaults to
`layout.uirevision`.
""",
),
**kwargs,
)

68
.venv/Lib/site-packages/plotly/validators/layout/_title.py Normal file
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import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(self, plotly_name="title", parent_name="layout", **kwargs):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Title"),
data_docs=kwargs.pop(
"data_docs",
"""
font
Sets the title font. Note that the title's font
used to be customized by the now deprecated
`titlefont` attribute.
pad
Sets the padding of the title. Each padding
value only applies when the corresponding
`xanchor`/`yanchor` value is set accordingly.
E.g. for left padding to take effect, `xanchor`
must be set to "left". The same rule applies if
`xanchor`/`yanchor` is determined
automatically. Padding is muted if the
respective anchor value is "middle*/*center".
text
Sets the plot's title. Note that before the
existence of `title.text`, the title's contents
used to be defined as the `title` attribute
itself. This behavior has been deprecated.
x
Sets the x position with respect to `xref` in
normalized coordinates from 0 (left) to 1
(right).
xanchor
Sets the title's horizontal alignment with
respect to its x position. "left" means that
the title starts at x, "right" means that the
title ends at x and "center" means that the
title's center is at x. "auto" divides `xref`
by three and calculates the `xanchor` value
automatically based on the value of `x`.
xref
Sets the container `x` refers to. "container"
spans the entire `width` of the plot. "paper"
refers to the width of the plotting area only.
y
Sets the y position with respect to `yref` in
normalized coordinates from 0 (bottom) to 1
(top). "auto" places the baseline of the title
onto the vertical center of the top margin.
yanchor
Sets the title's vertical alignment with
respect to its y position. "top" means that the
title's cap line is at y, "bottom" means that
the title's baseline is at y and "middle" means
that the title's midline is at y. "auto"
divides `yref` by three and calculates the
`yanchor` value automatically based on the
value of `y`.
yref
Sets the container `y` refers to. "container"
spans the entire `height` of the plot. "paper"
refers to the height of the plotting area only.
""",
),
**kwargs,
)

26
.venv/Lib/site-packages/plotly/validators/layout/_transition.py Normal file
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import _plotly_utils.basevalidators
class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="transition", parent_name="layout", **kwargs):
super(TransitionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Transition"),
data_docs=kwargs.pop(
"data_docs",
"""
duration
The duration of the transition, in
milliseconds. If equal to zero, updates are
synchronous.
easing
The easing function used for the transition
ordering
Determines whether the figure's layout or
traces smoothly transitions during updates that
make both traces and layout change.
""",
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_treemapcolorway.py Normal file
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import _plotly_utils.basevalidators
class TreemapcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="treemapcolorway", parent_name="layout", **kwargs):
super(TreemapcolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/_uirevision.py Normal file
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import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="layout", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

30
.venv/Lib/site-packages/plotly/validators/layout/_uniformtext.py Normal file
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import _plotly_utils.basevalidators
class UniformtextValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="uniformtext", parent_name="layout", **kwargs):
super(UniformtextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Uniformtext"),
data_docs=kwargs.pop(
"data_docs",
"""
minsize
Sets the minimum text size between traces of
the same type.
mode
Determines how the font size for various text
elements are uniformed between each trace type.
If the computed text sizes were smaller than
the minimum size defined by
`uniformtext.minsize` using "hide" option hides
the text; and using "show" option shows the
text without further downscaling. Please note
that if the size defined by `minsize` is
greater than the font size defined by trace,
then the `minsize` is used.
""",
),
**kwargs,
)

18
.venv/Lib/site-packages/plotly/validators/layout/_updatemenudefaults.py Normal file
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import _plotly_utils.basevalidators
class UpdatemenudefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="updatemenudefaults", parent_name="layout", **kwargs
):
super(UpdatemenudefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

95
.venv/Lib/site-packages/plotly/validators/layout/_updatemenus.py Normal file
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import _plotly_utils.basevalidators
class UpdatemenusValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="updatemenus", parent_name="layout", **kwargs):
super(UpdatemenusValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Updatemenu"),
data_docs=kwargs.pop(
"data_docs",
"""
active
Determines which button (by index starting from
0) is considered active.
bgcolor
Sets the background color of the update menu
buttons.
bordercolor
Sets the color of the border enclosing the
update menu.
borderwidth
Sets the width (in px) of the border enclosing
the update menu.
buttons
A tuple of :class:`plotly.graph_objects.layout.
updatemenu.Button` instances or dicts with
compatible properties
buttondefaults
When used in a template (as layout.template.lay
out.updatemenu.buttondefaults), sets the
default property values to use for elements of
layout.updatemenu.buttons
direction
Determines the direction in which the buttons
are laid out, whether in a dropdown menu or a
row/column of buttons. For `left` and `up`, the
buttons will still appear in left-to-right or
top-to-bottom order respectively.
font
Sets the font of the update menu button text.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
pad
Sets the padding around the buttons or dropdown
menu.
showactive
Highlights active dropdown item or active
button if true.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
type
Determines whether the buttons are accessible
via a dropdown menu or whether the buttons are
stacked horizontally or vertically
visible
Determines whether or not the update menu is
visible.
x
Sets the x position (in normalized coordinates)
of the update menu.
xanchor
Sets the update menu's horizontal position
anchor. This anchor binds the `x` position to
the "left", "center" or "right" of the range
selector.
y
Sets the y position (in normalized coordinates)
of the update menu.
yanchor
Sets the update menu's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the range
selector.
""",
),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_violingap.py Normal file
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import _plotly_utils.basevalidators
class ViolingapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="violingap", parent_name="layout", **kwargs):
super(ViolingapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/_violingroupgap.py Normal file
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import _plotly_utils.basevalidators
class ViolingroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="violingroupgap", parent_name="layout", **kwargs):
super(ViolingroupgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class ViolinmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="violinmode", parent_name="layout", **kwargs):
super(ViolinmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["group", "overlay"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class WaterfallgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="waterfallgap", parent_name="layout", **kwargs):
super(WaterfallgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class WaterfallgroupgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="waterfallgroupgap", parent_name="layout", **kwargs):
super(WaterfallgroupgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class WaterfallmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="waterfallmode", parent_name="layout", **kwargs):
super(WaterfallmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["group", "overlay"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="layout", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 10),
**kwargs,
)

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import _plotly_utils.basevalidators
class XaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="xaxis", parent_name="layout", **kwargs):
super(XaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "XAxis"),
data_docs=kwargs.pop(
"data_docs",
"""
anchor
If set to an opposite-letter axis id (e.g.
`x2`, `y`), this axis is bound to the
corresponding opposite-letter axis. If set to
"free", this axis' position is determined by
`position`.
automargin
Determines whether long tick labels
automatically grow the figure margins.
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided, then `autorange` is set to False.
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean or median of all the values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
constrain
If this axis needs to be compressed (either due
to its own `scaleanchor` and `scaleratio` or
those of the other axis), determines how that
happens: by increasing the "range", or by
decreasing the "domain". Default is "domain"
for axes containing image traces, "range"
otherwise.
constraintoward
If this axis needs to be compressed (either due
to its own `scaleanchor` and `scaleratio` or
those of the other axis), determines which
direction we push the originally specified plot
area. Options are "left", "center" (default),
and "right" for x axes, and "top", "middle"
(default), and "bottom" for y axes.
dividercolor
Sets the color of the dividers Only has an
effect on "multicategory" axes.
dividerwidth
Sets the width (in px) of the dividers Only has
an effect on "multicategory" axes.
domain
Sets the domain of this axis (in plot
fraction).
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
fixedrange
Determines whether or not this axis is zoom-
able. If true, then zoom is disabled.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. 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"
layer
Sets the layer on which this axis is displayed.
If *above traces*, this axis is displayed above
all the subplot's traces If *below traces*,
this axis is displayed below all the subplot's
traces, but above the grid lines. Useful when
used together with scatter-like traces with
`cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
matches
If set to another axis id (e.g. `x2`, `y`), the
range of this axis will match the range of the
corresponding axis in data-coordinates space.
Moreover, matching axes share auto-range
values, category lists and histogram auto-bins.
Note that setting axes simultaneously in both a
`scaleanchor` and a `matches` constraint is
currently forbidden. Moreover, note that
matching axes must have the same `type`.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
minor
:class:`plotly.graph_objects.layout.xaxis.Minor
` instance or dict with compatible properties
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
overlaying
If set a same-letter axis id, this axis is
overlaid on top of the corresponding same-
letter axis, with traces and axes visible for
both axes. If False, this axis does not overlay
any same-letter axes. In this case, for axes
with overlapping domains only the highest-
numbered axis will be visible.
position
Sets the position of this axis in the plotting
space (in normalized coordinates). Only has an
effect if `anchor` is set to "free".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears.
rangebreaks
A tuple of :class:`plotly.graph_objects.layout.
xaxis.Rangebreak` instances or dicts with
compatible properties
rangebreakdefaults
When used in a template (as layout.template.lay
out.xaxis.rangebreakdefaults), sets the default
property values to use for elements of
layout.xaxis.rangebreaks
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
rangeselector
:class:`plotly.graph_objects.layout.xaxis.Range
selector` instance or dict with compatible
properties
rangeslider
:class:`plotly.graph_objects.layout.xaxis.Range
slider` instance or dict with compatible
properties
scaleanchor
If set to another axis id (e.g. `x2`, `y`), the
range of this axis changes together with the
range of the corresponding axis such that the
scale of pixels per unit is in a constant
ratio. Both axes are still zoomable, but when
you zoom one, the other will zoom the same
amount, keeping a fixed midpoint. `constrain`
and `constraintoward` determine how we enforce
the constraint. You can chain these, ie `yaxis:
{scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
but you can only link axes of the same `type`.
The linked axis can have the opposite letter
(to constrain the aspect ratio) or the same
letter (to match scales across subplots). Loops
(`yaxis: {scaleanchor: *x*}, xaxis:
{scaleanchor: *y*}` or longer) are redundant
and the last constraint encountered will be
ignored to avoid possible inconsistent
constraints via `scaleratio`. Note that setting
axes simultaneously in both a `scaleanchor` and
a `matches` constraint is currently forbidden.
scaleratio
If this axis is linked to another by
`scaleanchor`, this determines the pixel to
unit scale ratio. For example, if this value is
10, then every unit on this axis spans 10 times
the number of pixels as a unit on the linked
axis. Use this for example to create an
elevation profile where the vertical scale is
exaggerated a fixed amount with respect to the
horizontal.
separatethousands
If "true", even 4-digit integers are separated
showdividers
Determines whether or not a dividers are drawn
between the category levels of this axis. Only
has an effect on "multicategory" axes.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Determines whether or not spikes (aka
droplines) are drawn for this axis. Note: This
only takes affect when hovermode = closest
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
side
Determines whether a x (y) axis is positioned
at the "bottom" ("left") or "top" ("right") of
the plotting area.
spikecolor
Sets the spike color. If undefined, will use
the series color
spikedash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
spikemode
Determines the drawing mode for the spike line
If "toaxis", the line is drawn from the data
point to the axis the series is plotted on. If
"across", the line is drawn across the entire
plot area, and supercedes "toaxis". If
"marker", then a marker dot is drawn on the
axis the series is plotted on
spikesnap
Determines whether spikelines are stuck to the
cursor or to the closest datapoints.
spikethickness
Sets the width (in px) of the zero line.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. 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"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
xaxis.Tickformatstop` instances or dicts with
compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.xaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.xaxis.tickformatstops
ticklabelmode
Determines where tick labels are drawn with
respect to their corresponding ticks and grid
lines. Only has an effect for axes of `type`
"date" When set to "period", tick labels are
drawn in the middle of the period between
ticks.
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of
the axis. The default value for inside tick
labels is *hide past domain*. Otherwise on
"category" and "multicategory" axes the default
is "allow". In other cases the default is *hide
past div*.
ticklabelposition
Determines where tick labels are drawn with
respect to the axis Please note that top or
bottom has no effect on x axes or when
`ticklabelmode` is set to "period". Similarly
left or right has no effect on y axes or when
`ticklabelmode` is set to "period". Has no
effect on "multicategory" axes or when
`tickson` is set to "boundaries". When used on
axes linked by `matches` or `scaleanchor`, no
extra padding for inside labels would be added
by autorange, so that the scales could match.
ticklabelstep
Sets the spacing between tick labels as
compared to the spacing between ticks. A value
of 1 (default) means each tick gets a label. A
value of 2 means shows every 2nd label. A
larger value n means only every nth tick is
labeled. `tick0` determines which labels are
shown. Not implemented for axes with `type`
"log" or "multicategory", or when `tickmode` is
"array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
tickson
Determines where ticks and grid lines are drawn
with respect to their corresponding tick
labels. Only has an effect for axes of `type`
"category" or "multicategory". When set to
"boundaries", ticks and grid lines are drawn
half a category to the left/bottom of labels.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.xaxis.Title
` instance or dict with compatible properties
titlefont
Deprecated: Please use layout.xaxis.title.font
instead. Sets this axis' title font. Note that
the title's font used to be customized by the
now deprecated `titlefont` attribute.
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
uirevision
Controls persistence of user-driven changes in
axis `range`, `autorange`, and `title` if in
`editable: true` configuration. Defaults to
`layout.uirevision`.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class YaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="yaxis", parent_name="layout", **kwargs):
super(YaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "YAxis"),
data_docs=kwargs.pop(
"data_docs",
"""
anchor
If set to an opposite-letter axis id (e.g.
`x2`, `y`), this axis is bound to the
corresponding opposite-letter axis. If set to
"free", this axis' position is determined by
`position`.
automargin
Determines whether long tick labels
automatically grow the figure margins.
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided, then `autorange` is set to False.
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean or median of all the values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
constrain
If this axis needs to be compressed (either due
to its own `scaleanchor` and `scaleratio` or
those of the other axis), determines how that
happens: by increasing the "range", or by
decreasing the "domain". Default is "domain"
for axes containing image traces, "range"
otherwise.
constraintoward
If this axis needs to be compressed (either due
to its own `scaleanchor` and `scaleratio` or
those of the other axis), determines which
direction we push the originally specified plot
area. Options are "left", "center" (default),
and "right" for x axes, and "top", "middle"
(default), and "bottom" for y axes.
dividercolor
Sets the color of the dividers Only has an
effect on "multicategory" axes.
dividerwidth
Sets the width (in px) of the dividers Only has
an effect on "multicategory" axes.
domain
Sets the domain of this axis (in plot
fraction).
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
fixedrange
Determines whether or not this axis is zoom-
able. If true, then zoom is disabled.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. 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"
layer
Sets the layer on which this axis is displayed.
If *above traces*, this axis is displayed above
all the subplot's traces If *below traces*,
this axis is displayed below all the subplot's
traces, but above the grid lines. Useful when
used together with scatter-like traces with
`cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
matches
If set to another axis id (e.g. `x2`, `y`), the
range of this axis will match the range of the
corresponding axis in data-coordinates space.
Moreover, matching axes share auto-range
values, category lists and histogram auto-bins.
Note that setting axes simultaneously in both a
`scaleanchor` and a `matches` constraint is
currently forbidden. Moreover, note that
matching axes must have the same `type`.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
minor
:class:`plotly.graph_objects.layout.yaxis.Minor
` instance or dict with compatible properties
mirror
Determines if the axis lines or/and ticks are
mirrored to the opposite side of the plotting
area. If True, the axis lines are mirrored. If
"ticks", the axis lines and ticks are mirrored.
If False, mirroring is disable. If "all", axis
lines are mirrored on all shared-axes subplots.
If "allticks", axis lines and ticks are
mirrored on all shared-axes subplots.
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
overlaying
If set a same-letter axis id, this axis is
overlaid on top of the corresponding same-
letter axis, with traces and axes visible for
both axes. If False, this axis does not overlay
any same-letter axes. In this case, for axes
with overlapping domains only the highest-
numbered axis will be visible.
position
Sets the position of this axis in the plotting
space (in normalized coordinates). Only has an
effect if `anchor` is set to "free".
range
Sets the range of this axis. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears.
rangebreaks
A tuple of :class:`plotly.graph_objects.layout.
yaxis.Rangebreak` instances or dicts with
compatible properties
rangebreakdefaults
When used in a template (as layout.template.lay
out.yaxis.rangebreakdefaults), sets the default
property values to use for elements of
layout.yaxis.rangebreaks
rangemode
If "normal", the range is computed in relation
to the extrema of the input data. If *tozero*`,
the range extends to 0, regardless of the input
data If "nonnegative", the range is non-
negative, regardless of the input data. Applies
only to linear axes.
scaleanchor
If set to another axis id (e.g. `x2`, `y`), the
range of this axis changes together with the
range of the corresponding axis such that the
scale of pixels per unit is in a constant
ratio. Both axes are still zoomable, but when
you zoom one, the other will zoom the same
amount, keeping a fixed midpoint. `constrain`
and `constraintoward` determine how we enforce
the constraint. You can chain these, ie `yaxis:
{scaleanchor: *x*}, xaxis2: {scaleanchor: *y*}`
but you can only link axes of the same `type`.
The linked axis can have the opposite letter
(to constrain the aspect ratio) or the same
letter (to match scales across subplots). Loops
(`yaxis: {scaleanchor: *x*}, xaxis:
{scaleanchor: *y*}` or longer) are redundant
and the last constraint encountered will be
ignored to avoid possible inconsistent
constraints via `scaleratio`. Note that setting
axes simultaneously in both a `scaleanchor` and
a `matches` constraint is currently forbidden.
scaleratio
If this axis is linked to another by
`scaleanchor`, this determines the pixel to
unit scale ratio. For example, if this value is
10, then every unit on this axis spans 10 times
the number of pixels as a unit on the linked
axis. Use this for example to create an
elevation profile where the vertical scale is
exaggerated a fixed amount with respect to the
horizontal.
separatethousands
If "true", even 4-digit integers are separated
showdividers
Determines whether or not a dividers are drawn
between the category levels of this axis. Only
has an effect on "multicategory" axes.
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showspikes
Determines whether or not spikes (aka
droplines) are drawn for this axis. Note: This
only takes affect when hovermode = closest
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
side
Determines whether a x (y) axis is positioned
at the "bottom" ("left") or "top" ("right") of
the plotting area.
spikecolor
Sets the spike color. If undefined, will use
the series color
spikedash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
spikemode
Determines the drawing mode for the spike line
If "toaxis", the line is drawn from the data
point to the axis the series is plotted on. If
"across", the line is drawn across the entire
plot area, and supercedes "toaxis". If
"marker", then a marker dot is drawn on the
axis the series is plotted on
spikesnap
Determines whether spikelines are stuck to the
cursor or to the closest datapoints.
spikethickness
Sets the width (in px) of the zero line.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. 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"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
yaxis.Tickformatstop` instances or dicts with
compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.yaxis.tickformatstopdefaults), sets the
default property values to use for elements of
layout.yaxis.tickformatstops
ticklabelmode
Determines where tick labels are drawn with
respect to their corresponding ticks and grid
lines. Only has an effect for axes of `type`
"date" When set to "period", tick labels are
drawn in the middle of the period between
ticks.
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of
the axis. The default value for inside tick
labels is *hide past domain*. Otherwise on
"category" and "multicategory" axes the default
is "allow". In other cases the default is *hide
past div*.
ticklabelposition
Determines where tick labels are drawn with
respect to the axis Please note that top or
bottom has no effect on x axes or when
`ticklabelmode` is set to "period". Similarly
left or right has no effect on y axes or when
`ticklabelmode` is set to "period". Has no
effect on "multicategory" axes or when
`tickson` is set to "boundaries". When used on
axes linked by `matches` or `scaleanchor`, no
extra padding for inside labels would be added
by autorange, so that the scales could match.
ticklabelstep
Sets the spacing between tick labels as
compared to the spacing between ticks. A value
of 1 (default) means each tick gets a label. A
value of 2 means shows every 2nd label. A
larger value n means only every nth tick is
labeled. `tick0` determines which labels are
shown. Not implemented for axes with `type`
"log" or "multicategory", or when `tickmode` is
"array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
tickson
Determines where ticks and grid lines are drawn
with respect to their corresponding tick
labels. Only has an effect for axes of `type`
"category" or "multicategory". When set to
"boundaries", ticks and grid lines are drawn
half a category to the left/bottom of labels.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.layout.yaxis.Title
` instance or dict with compatible properties
titlefont
Deprecated: Please use layout.yaxis.title.font
instead. Sets this axis' title font. Note that
the title's font used to be customized by the
now deprecated `titlefont` attribute.
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
uirevision
Controls persistence of user-driven changes in
axis `range`, `autorange`, and `title` if in
`editable: true` configuration. Defaults to
`layout.uirevision`.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
zeroline
Determines whether or not a line is drawn at
along the 0 value of this axis. If True, the
zero line is drawn on top of the grid lines.
zerolinecolor
Sets the line color of the zero line.
zerolinewidth
Sets the width (in px) of the zero line.
""",
),
**kwargs,
)

12
.venv/Lib/site-packages/plotly/validators/layout/activeshape/__init__.py Normal file
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._opacity import OpacityValidator
from ._fillcolor import FillcolorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._opacity.OpacityValidator", "._fillcolor.FillcolorValidator"]
)

13
.venv/Lib/site-packages/plotly/validators/layout/activeshape/_fillcolor.py Normal file
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import _plotly_utils.basevalidators
class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="fillcolor", parent_name="layout.activeshape", **kwargs
):
super(FillcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

15
.venv/Lib/site-packages/plotly/validators/layout/activeshape/_opacity.py Normal file
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import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="opacity", parent_name="layout.activeshape", **kwargs
):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

99
.venv/Lib/site-packages/plotly/validators/layout/annotation/__init__.py Normal file
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._yshift import YshiftValidator
from ._yref import YrefValidator
from ._yclick import YclickValidator
from ._yanchor import YanchorValidator
from ._y import YValidator
from ._xshift import XshiftValidator
from ._xref import XrefValidator
from ._xclick import XclickValidator
from ._xanchor import XanchorValidator
from ._x import XValidator
from ._width import WidthValidator
from ._visible import VisibleValidator
from ._valign import ValignValidator
from ._textangle import TextangleValidator
from ._text import TextValidator
from ._templateitemname import TemplateitemnameValidator
from ._startstandoff import StartstandoffValidator
from ._startarrowsize import StartarrowsizeValidator
from ._startarrowhead import StartarrowheadValidator
from ._standoff import StandoffValidator
from ._showarrow import ShowarrowValidator
from ._opacity import OpacityValidator
from ._name import NameValidator
from ._hovertext import HovertextValidator
from ._hoverlabel import HoverlabelValidator
from ._height import HeightValidator
from ._font import FontValidator
from ._clicktoshow import ClicktoshowValidator
from ._captureevents import CaptureeventsValidator
from ._borderwidth import BorderwidthValidator
from ._borderpad import BorderpadValidator
from ._bordercolor import BordercolorValidator
from ._bgcolor import BgcolorValidator
from ._ayref import AyrefValidator
from ._ay import AyValidator
from ._axref import AxrefValidator
from ._ax import AxValidator
from ._arrowwidth import ArrowwidthValidator
from ._arrowsize import ArrowsizeValidator
from ._arrowside import ArrowsideValidator
from ._arrowhead import ArrowheadValidator
from ._arrowcolor import ArrowcolorValidator
from ._align import AlignValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._yshift.YshiftValidator",
"._yref.YrefValidator",
"._yclick.YclickValidator",
"._yanchor.YanchorValidator",
"._y.YValidator",
"._xshift.XshiftValidator",
"._xref.XrefValidator",
"._xclick.XclickValidator",
"._xanchor.XanchorValidator",
"._x.XValidator",
"._width.WidthValidator",
"._visible.VisibleValidator",
"._valign.ValignValidator",
"._textangle.TextangleValidator",
"._text.TextValidator",
"._templateitemname.TemplateitemnameValidator",
"._startstandoff.StartstandoffValidator",
"._startarrowsize.StartarrowsizeValidator",
"._startarrowhead.StartarrowheadValidator",
"._standoff.StandoffValidator",
"._showarrow.ShowarrowValidator",
"._opacity.OpacityValidator",
"._name.NameValidator",
"._hovertext.HovertextValidator",
"._hoverlabel.HoverlabelValidator",
"._height.HeightValidator",
"._font.FontValidator",
"._clicktoshow.ClicktoshowValidator",
"._captureevents.CaptureeventsValidator",
"._borderwidth.BorderwidthValidator",
"._borderpad.BorderpadValidator",
"._bordercolor.BordercolorValidator",
"._bgcolor.BgcolorValidator",
"._ayref.AyrefValidator",
"._ay.AyValidator",
"._axref.AxrefValidator",
"._ax.AxValidator",
"._arrowwidth.ArrowwidthValidator",
"._arrowsize.ArrowsizeValidator",
"._arrowside.ArrowsideValidator",
"._arrowhead.ArrowheadValidator",
"._arrowcolor.ArrowcolorValidator",
"._align.AlignValidator",
],
)

12
.venv/Lib/site-packages/plotly/validators/layout/annotation/_align.py Normal file
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import _plotly_utils.basevalidators
class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="align", parent_name="layout.annotation", **kwargs):
super(AlignValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "arraydraw"),
values=kwargs.pop("values", ["left", "center", "right"]),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/annotation/_arrowcolor.py Normal file
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import _plotly_utils.basevalidators
class ArrowcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="arrowcolor", parent_name="layout.annotation", **kwargs
):
super(ArrowcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "arraydraw"),
**kwargs,
)

15
.venv/Lib/site-packages/plotly/validators/layout/annotation/_arrowhead.py Normal file
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import _plotly_utils.basevalidators
class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="arrowhead", parent_name="layout.annotation", **kwargs
):
super(ArrowheadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "arraydraw"),
max=kwargs.pop("max", 8),
min=kwargs.pop("min", 0),
**kwargs,
)

15
.venv/Lib/site-packages/plotly/validators/layout/annotation/_arrowside.py Normal file
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import _plotly_utils.basevalidators
class ArrowsideValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self, plotly_name="arrowside", parent_name="layout.annotation", **kwargs
):
super(ArrowsideValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "arraydraw"),
extras=kwargs.pop("extras", ["none"]),
flags=kwargs.pop("flags", ["end", "start"]),
**kwargs,
)

14
.venv/Lib/site-packages/plotly/validators/layout/annotation/_arrowsize.py Normal file
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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ArrowsizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="arrowsize", parent_name="layout.annotation", **kwargs
):
super(ArrowsizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
min=kwargs.pop("min", 0.3),
**kwargs,
)

14
.venv/Lib/site-packages/plotly/validators/layout/annotation/_arrowwidth.py Normal file
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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ArrowwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="arrowwidth", parent_name="layout.annotation", **kwargs
):
super(ArrowwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
min=kwargs.pop("min", 0.1),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/annotation/_ax.py Normal file
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import _plotly_utils.basevalidators
class AxValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="ax", parent_name="layout.annotation", **kwargs):
super(AxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
**kwargs,
)

14
.venv/Lib/site-packages/plotly/validators/layout/annotation/_axref.py Normal file
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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class AxrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="axref", parent_name="layout.annotation", **kwargs):
super(AxrefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values", ["pixel", "/^x([2-9]|[1-9][0-9]+)?( domain)?$/"]
),
**kwargs,
)

11
.venv/Lib/site-packages/plotly/validators/layout/annotation/_ay.py Normal file
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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class AyValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="ay", parent_name="layout.annotation", **kwargs):
super(AyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+arraydraw"),
**kwargs,
)

14
.venv/Lib/site-packages/plotly/validators/layout/annotation/_ayref.py Normal file
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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class AyrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="ayref", parent_name="layout.annotation", **kwargs):
super(AyrefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values", ["pixel", "/^y([2-9]|[1-9][0-9]+)?( domain)?$/"]
),
**kwargs,
)

13
.venv/Lib/site-packages/plotly/validators/layout/annotation/_bgcolor.py Normal file
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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="layout.annotation", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "arraydraw"),
**kwargs,
)

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