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Ayxan
2022-05-23 00:16:32 +04:00
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._zsrc import ZsrcValidator
from ._zhoverformat import ZhoverformatValidator
from ._z import ZValidator
from ._ysrc import YsrcValidator
from ._yhoverformat import YhoverformatValidator
from ._y import YValidator
from ._xsrc import XsrcValidator
from ._xhoverformat import XhoverformatValidator
from ._x import XValidator
from ._visible import VisibleValidator
from ._valuesrc import ValuesrcValidator
from ._valuehoverformat import ValuehoverformatValidator
from ._value import ValueValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._textsrc import TextsrcValidator
from ._text import TextValidator
from ._surface import SurfaceValidator
from ._stream import StreamValidator
from ._spaceframe import SpaceframeValidator
from ._slices import SlicesValidator
from ._showscale import ShowscaleValidator
from ._showlegend import ShowlegendValidator
from ._scene import SceneValidator
from ._reversescale import ReversescaleValidator
from ._opacityscale import OpacityscaleValidator
from ._opacity import OpacityValidator
from ._name import NameValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaValidator
from ._lightposition import LightpositionValidator
from ._lighting import LightingValidator
from ._legendrank import LegendrankValidator
from ._legendgrouptitle import LegendgrouptitleValidator
from ._legendgroup import LegendgroupValidator
from ._isomin import IsominValidator
from ._isomax import IsomaxValidator
from ._idssrc import IdssrcValidator
from ._ids import IdsValidator
from ._hovertextsrc import HovertextsrcValidator
from ._hovertext import HovertextValidator
from ._hovertemplatesrc import HovertemplatesrcValidator
from ._hovertemplate import HovertemplateValidator
from ._hoverlabel import HoverlabelValidator
from ._hoverinfosrc import HoverinfosrcValidator
from ._hoverinfo import HoverinfoValidator
from ._flatshading import FlatshadingValidator
from ._customdatasrc import CustomdatasrcValidator
from ._customdata import CustomdataValidator
from ._contour import ContourValidator
from ._colorscale import ColorscaleValidator
from ._colorbar import ColorbarValidator
from ._coloraxis import ColoraxisValidator
from ._cmin import CminValidator
from ._cmid import CmidValidator
from ._cmax import CmaxValidator
from ._cauto import CautoValidator
from ._caps import CapsValidator
from ._autocolorscale import AutocolorscaleValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._zsrc.ZsrcValidator",
"._zhoverformat.ZhoverformatValidator",
"._z.ZValidator",
"._ysrc.YsrcValidator",
"._yhoverformat.YhoverformatValidator",
"._y.YValidator",
"._xsrc.XsrcValidator",
"._xhoverformat.XhoverformatValidator",
"._x.XValidator",
"._visible.VisibleValidator",
"._valuesrc.ValuesrcValidator",
"._valuehoverformat.ValuehoverformatValidator",
"._value.ValueValidator",
"._uirevision.UirevisionValidator",
"._uid.UidValidator",
"._textsrc.TextsrcValidator",
"._text.TextValidator",
"._surface.SurfaceValidator",
"._stream.StreamValidator",
"._spaceframe.SpaceframeValidator",
"._slices.SlicesValidator",
"._showscale.ShowscaleValidator",
"._showlegend.ShowlegendValidator",
"._scene.SceneValidator",
"._reversescale.ReversescaleValidator",
"._opacityscale.OpacityscaleValidator",
"._opacity.OpacityValidator",
"._name.NameValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._lightposition.LightpositionValidator",
"._lighting.LightingValidator",
"._legendrank.LegendrankValidator",
"._legendgrouptitle.LegendgrouptitleValidator",
"._legendgroup.LegendgroupValidator",
"._isomin.IsominValidator",
"._isomax.IsomaxValidator",
"._idssrc.IdssrcValidator",
"._ids.IdsValidator",
"._hovertextsrc.HovertextsrcValidator",
"._hovertext.HovertextValidator",
"._hovertemplatesrc.HovertemplatesrcValidator",
"._hovertemplate.HovertemplateValidator",
"._hoverlabel.HoverlabelValidator",
"._hoverinfosrc.HoverinfosrcValidator",
"._hoverinfo.HoverinfoValidator",
"._flatshading.FlatshadingValidator",
"._customdatasrc.CustomdatasrcValidator",
"._customdata.CustomdataValidator",
"._contour.ContourValidator",
"._colorscale.ColorscaleValidator",
"._colorbar.ColorbarValidator",
"._coloraxis.ColoraxisValidator",
"._cmin.CminValidator",
"._cmid.CmidValidator",
"._cmax.CmaxValidator",
"._cauto.CautoValidator",
"._caps.CapsValidator",
"._autocolorscale.AutocolorscaleValidator",
],
)

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import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autocolorscale", parent_name="volume", **kwargs):
super(AutocolorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class CapsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="caps", parent_name="volume", **kwargs):
super(CapsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Caps"),
data_docs=kwargs.pop(
"data_docs",
"""
x
:class:`plotly.graph_objects.volume.caps.X`
instance or dict with compatible properties
y
:class:`plotly.graph_objects.volume.caps.Y`
instance or dict with compatible properties
z
:class:`plotly.graph_objects.volume.caps.Z`
instance or dict with compatible properties
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="cauto", parent_name="volume", **kwargs):
super(CautoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmax", parent_name="volume", **kwargs):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmid", parent_name="volume", **kwargs):
super(CmidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class CminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmin", parent_name="volume", **kwargs):
super(CminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"cauto": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="coloraxis", parent_name="volume", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", None),
edit_type=kwargs.pop("edit_type", "calc"),
regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="colorbar", parent_name="volume", **kwargs):
super(ColorbarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "ColorBar"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing
this color bar.
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.
len
Sets the length of the color bar This measure
excludes the padding of both ends. That is, the
color bar length is this length minus the
padding on both ends.
lenmode
Determines whether this color bar's length
(i.e. the measure in the color variation
direction) is set in units of plot "fraction"
or in *pixels. Use `len` to set the value.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
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".
orientation
Sets the orientation of the colorbar.
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
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.
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.
thickness
Sets the thickness of the color bar This
measure excludes the size of the padding, ticks
and labels.
thicknessmode
Determines whether this color bar's thickness
(i.e. the measure in the constant color
direction) is set in units of plot "fraction"
or in "pixels". Use `thickness` to set the
value.
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 color bar's tick label 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.volume.
colorbar.Tickformatstop` instances or dicts
with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.dat
a.volume.colorbar.tickformatstopdefaults), sets
the default property values to use for elements
of volume.colorbar.tickformatstops
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*. In other cases
the default is *hide past div*.
ticklabelposition
Determines where tick labels are drawn relative
to the ticks. Left and right options are used
when `orientation` is "h", top and bottom when
`orientation` is "v".
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.
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.volume.colorbar.Ti
tle` instance or dict with compatible
properties
titlefont
Deprecated: Please use
volume.colorbar.title.font instead. Sets this
color bar's title font. Note that the title's
font used to be set by the now deprecated
`titlefont` attribute.
titleside
Deprecated: Please use
volume.colorbar.title.side instead. Determines
the location of color bar's title with respect
to the color bar. Defaults to "top" when
`orientation` if "v" and defaults to "right"
when `orientation` if "h". Note that the
title's location used to be set by the now
deprecated `titleside` attribute.
x
Sets the x position of the color bar (in plot
fraction). Defaults to 1.02 when `orientation`
is "v" and 0.5 when `orientation` is "h".
xanchor
Sets this color bar's horizontal position
anchor. This anchor binds the `x` position to
the "left", "center" or "right" of the color
bar. Defaults to "left" when `orientation` is
"v" and "center" when `orientation` is "h".
xpad
Sets the amount of padding (in px) along the x
direction.
y
Sets the y position of the color bar (in plot
fraction). Defaults to 0.5 when `orientation`
is "v" and 1.02 when `orientation` is "h".
yanchor
Sets this color bar's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the color bar.
Defaults to "middle" when `orientation` is "v"
and "bottom" when `orientation` is "h".
ypad
Sets the amount of padding (in px) along the y
direction.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(self, plotly_name="colorscale", parent_name="volume", **kwargs):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ContourValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="contour", parent_name="volume", **kwargs):
super(ContourValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Contour"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the color of the contour lines.
show
Sets whether or not dynamic contours are shown
on hover
width
Sets the width of the contour lines.
""",
),
**kwargs,
)

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

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

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import _plotly_utils.basevalidators
class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="flatshading", parent_name="volume", **kwargs):
super(FlatshadingValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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

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import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="volume", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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

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

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

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import _plotly_utils.basevalidators
class IsomaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="isomax", parent_name="volume", **kwargs):
super(IsomaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="isomin", parent_name="volume", **kwargs):
super(IsominValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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

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import _plotly_utils.basevalidators
class LightingValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="lighting", parent_name="volume", **kwargs):
super(LightingValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Lighting"),
data_docs=kwargs.pop(
"data_docs",
"""
ambient
Ambient light increases overall color
visibility but can wash out the image.
diffuse
Represents the extent that incident rays are
reflected in a range of angles.
facenormalsepsilon
Epsilon for face normals calculation avoids
math issues arising from degenerate geometry.
fresnel
Represents the reflectance as a dependency of
the viewing angle; e.g. paper is reflective
when viewing it from the edge of the paper
(almost 90 degrees), causing shine.
roughness
Alters specular reflection; the rougher the
surface, the wider and less contrasty the
shine.
specular
Represents the level that incident rays are
reflected in a single direction, causing shine.
vertexnormalsepsilon
Epsilon for vertex normals calculation avoids
math issues arising from degenerate geometry.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LightpositionValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="lightposition", parent_name="volume", **kwargs):
super(LightpositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Lightposition"),
data_docs=kwargs.pop(
"data_docs",
"""
x
Numeric vector, representing the X coordinate
for each vertex.
y
Numeric vector, representing the Y coordinate
for each vertex.
z
Numeric vector, representing the Z coordinate
for each vertex.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="volume", **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,
)

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

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

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="volume", **kwargs):
super(OpacityValidator, 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 OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="opacityscale", parent_name="volume", **kwargs):
super(OpacityscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="reversescale", parent_name="volume", **kwargs):
super(ReversescaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showscale", parent_name="volume", **kwargs):
super(ShowscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class SlicesValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="slices", parent_name="volume", **kwargs):
super(SlicesValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Slices"),
data_docs=kwargs.pop(
"data_docs",
"""
x
:class:`plotly.graph_objects.volume.slices.X`
instance or dict with compatible properties
y
:class:`plotly.graph_objects.volume.slices.Y`
instance or dict with compatible properties
z
:class:`plotly.graph_objects.volume.slices.Z`
instance or dict with compatible properties
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class SpaceframeValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="spaceframe", parent_name="volume", **kwargs):
super(SpaceframeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Spaceframe"),
data_docs=kwargs.pop(
"data_docs",
"""
fill
Sets the fill ratio of the `spaceframe`
elements. The default fill value is 1 meaning
that they are entirely shaded. Applying a
`fill` ratio less than one would allow the
creation of openings parallel to the edges.
show
Displays/hides tetrahedron shapes between
minimum and maximum iso-values. Often useful
when either caps or surfaces are disabled or
filled with values less than 1.
""",
),
**kwargs,
)

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

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import _plotly_utils.basevalidators
class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="surface", parent_name="volume", **kwargs):
super(SurfaceValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Surface"),
data_docs=kwargs.pop(
"data_docs",
"""
count
Sets the number of iso-surfaces between minimum
and maximum iso-values. By default this value
is 2 meaning that only minimum and maximum
surfaces would be drawn.
fill
Sets the fill ratio of the iso-surface. The
default fill value of the surface is 1 meaning
that they are entirely shaded. On the other
hand Applying a `fill` ratio less than one
would allow the creation of openings parallel
to the edges.
pattern
Sets the surface pattern of the iso-surface 3-D
sections. The default pattern of the surface is
`all` meaning that the rest of surface elements
would be shaded. The check options (either 1 or
2) could be used to draw half of the squares on
the surface. Using various combinations of
capital `A`, `B`, `C`, `D` and `E` may also be
used to reduce the number of triangles on the
iso-surfaces and creating other patterns of
interest.
show
Hides/displays surfaces between minimum and
maximum iso-values.
""",
),
**kwargs,
)

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

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

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

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

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

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ValuehoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="valuehoverformat", parent_name="volume", **kwargs):
super(ValuehoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class XhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="xhoverformat", parent_name="volume", **kwargs):
super(XhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class YhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="yhoverformat", parent_name="volume", **kwargs):
super(YhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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

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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ZhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="zhoverformat", parent_name="volume", **kwargs):
super(ZhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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@ -0,0 +1,13 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._z import ZValidator
from ._y import YValidator
from ._x import XValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
)

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@ -0,0 +1,29 @@
import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="x", parent_name="volume.caps", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "X"),
data_docs=kwargs.pop(
"data_docs",
"""
fill
Sets the fill ratio of the `caps`. The default
fill value of the `caps` is 1 meaning that they
are entirely shaded. On the other hand Applying
a `fill` ratio less than one would allow the
creation of openings parallel to the edges.
show
Sets the fill ratio of the `slices`. The
default fill value of the x `slices` is 1
meaning that they are entirely shaded. On the
other hand Applying a `fill` ratio less than
one would allow the creation of openings
parallel to the edges.
""",
),
**kwargs,
)

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@ -0,0 +1,29 @@
import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="y", parent_name="volume.caps", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Y"),
data_docs=kwargs.pop(
"data_docs",
"""
fill
Sets the fill ratio of the `caps`. The default
fill value of the `caps` is 1 meaning that they
are entirely shaded. On the other hand Applying
a `fill` ratio less than one would allow the
creation of openings parallel to the edges.
show
Sets the fill ratio of the `slices`. The
default fill value of the y `slices` is 1
meaning that they are entirely shaded. On the
other hand Applying a `fill` ratio less than
one would allow the creation of openings
parallel to the edges.
""",
),
**kwargs,
)

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@ -0,0 +1,29 @@
import _plotly_utils.basevalidators
class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="z", parent_name="volume.caps", **kwargs):
super(ZValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Z"),
data_docs=kwargs.pop(
"data_docs",
"""
fill
Sets the fill ratio of the `caps`. The default
fill value of the `caps` is 1 meaning that they
are entirely shaded. On the other hand Applying
a `fill` ratio less than one would allow the
creation of openings parallel to the edges.
show
Sets the fill ratio of the `slices`. The
default fill value of the z `slices` is 1
meaning that they are entirely shaded. On the
other hand Applying a `fill` ratio less than
one would allow the creation of openings
parallel to the edges.
""",
),
**kwargs,
)

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@ -0,0 +1,12 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._show import ShowValidator
from ._fill import FillValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class FillValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fill", parent_name="volume.caps.x", **kwargs):
super(FillValidator, 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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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="volume.caps.x", **kwargs):
super(ShowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,12 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._show import ShowValidator
from ._fill import FillValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class FillValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fill", parent_name="volume.caps.y", **kwargs):
super(FillValidator, 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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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="volume.caps.y", **kwargs):
super(ShowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,12 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._show import ShowValidator
from ._fill import FillValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._show.ShowValidator", "._fill.FillValidator"]
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class FillValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fill", parent_name="volume.caps.z", **kwargs):
super(FillValidator, 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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@ -0,0 +1,11 @@
import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="volume.caps.z", **kwargs):
super(ShowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._ypad import YpadValidator
from ._yanchor import YanchorValidator
from ._y import YValidator
from ._xpad import XpadValidator
from ._xanchor import XanchorValidator
from ._x import XValidator
from ._title import TitleValidator
from ._tickwidth import TickwidthValidator
from ._tickvalssrc import TickvalssrcValidator
from ._tickvals import TickvalsValidator
from ._ticktextsrc import TicktextsrcValidator
from ._ticktext import TicktextValidator
from ._ticksuffix import TicksuffixValidator
from ._ticks import TicksValidator
from ._tickprefix import TickprefixValidator
from ._tickmode import TickmodeValidator
from ._ticklen import TicklenValidator
from ._ticklabelstep import TicklabelstepValidator
from ._ticklabelposition import TicklabelpositionValidator
from ._ticklabeloverflow import TicklabeloverflowValidator
from ._tickformatstopdefaults import TickformatstopdefaultsValidator
from ._tickformatstops import TickformatstopsValidator
from ._tickformat import TickformatValidator
from ._tickfont import TickfontValidator
from ._tickcolor import TickcolorValidator
from ._tickangle import TickangleValidator
from ._tick0 import Tick0Validator
from ._thicknessmode import ThicknessmodeValidator
from ._thickness import ThicknessValidator
from ._showticksuffix import ShowticksuffixValidator
from ._showtickprefix import ShowtickprefixValidator
from ._showticklabels import ShowticklabelsValidator
from ._showexponent import ShowexponentValidator
from ._separatethousands import SeparatethousandsValidator
from ._outlinewidth import OutlinewidthValidator
from ._outlinecolor import OutlinecolorValidator
from ._orientation import OrientationValidator
from ._nticks import NticksValidator
from ._minexponent import MinexponentValidator
from ._lenmode import LenmodeValidator
from ._len import LenValidator
from ._exponentformat import ExponentformatValidator
from ._dtick import DtickValidator
from ._borderwidth import BorderwidthValidator
from ._bordercolor import BordercolorValidator
from ._bgcolor import BgcolorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._ypad.YpadValidator",
"._yanchor.YanchorValidator",
"._y.YValidator",
"._xpad.XpadValidator",
"._xanchor.XanchorValidator",
"._x.XValidator",
"._title.TitleValidator",
"._tickwidth.TickwidthValidator",
"._tickvalssrc.TickvalssrcValidator",
"._tickvals.TickvalsValidator",
"._ticktextsrc.TicktextsrcValidator",
"._ticktext.TicktextValidator",
"._ticksuffix.TicksuffixValidator",
"._ticks.TicksValidator",
"._tickprefix.TickprefixValidator",
"._tickmode.TickmodeValidator",
"._ticklen.TicklenValidator",
"._ticklabelstep.TicklabelstepValidator",
"._ticklabelposition.TicklabelpositionValidator",
"._ticklabeloverflow.TicklabeloverflowValidator",
"._tickformatstopdefaults.TickformatstopdefaultsValidator",
"._tickformatstops.TickformatstopsValidator",
"._tickformat.TickformatValidator",
"._tickfont.TickfontValidator",
"._tickcolor.TickcolorValidator",
"._tickangle.TickangleValidator",
"._tick0.Tick0Validator",
"._thicknessmode.ThicknessmodeValidator",
"._thickness.ThicknessValidator",
"._showticksuffix.ShowticksuffixValidator",
"._showtickprefix.ShowtickprefixValidator",
"._showticklabels.ShowticklabelsValidator",
"._showexponent.ShowexponentValidator",
"._separatethousands.SeparatethousandsValidator",
"._outlinewidth.OutlinewidthValidator",
"._outlinecolor.OutlinecolorValidator",
"._orientation.OrientationValidator",
"._nticks.NticksValidator",
"._minexponent.MinexponentValidator",
"._lenmode.LenmodeValidator",
"._len.LenValidator",
"._exponentformat.ExponentformatValidator",
"._dtick.DtickValidator",
"._borderwidth.BorderwidthValidator",
"._bordercolor.BordercolorValidator",
"._bgcolor.BgcolorValidator",
],
)

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import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="bgcolor", parent_name="volume.colorbar", **kwargs):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="volume.colorbar", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="borderwidth", parent_name="volume.colorbar", **kwargs
):
super(BorderwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="dtick", parent_name="volume.colorbar", **kwargs):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="exponentformat", parent_name="volume.colorbar", **kwargs
):
super(ExponentformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class LenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="len", parent_name="volume.colorbar", **kwargs):
super(LenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="lenmode", parent_name="volume.colorbar", **kwargs):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["fraction", "pixels"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="volume.colorbar", **kwargs
):
super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="nticks", parent_name="volume.colorbar", **kwargs):
super(NticksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="orientation", parent_name="volume.colorbar", **kwargs
):
super(OrientationValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["h", "v"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="outlinecolor", parent_name="volume.colorbar", **kwargs
):
super(OutlinecolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="outlinewidth", parent_name="volume.colorbar", **kwargs
):
super(OutlinewidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="separatethousands", parent_name="volume.colorbar", **kwargs
):
super(SeparatethousandsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showexponent", parent_name="volume.colorbar", **kwargs
):
super(ShowexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="volume.colorbar", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showtickprefix", parent_name="volume.colorbar", **kwargs
):
super(ShowtickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="volume.colorbar", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="thicknessmode", parent_name="volume.colorbar", **kwargs
):
super(ThicknessmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["fraction", "pixels"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="tick0", parent_name="volume.colorbar", **kwargs):
super(Tick0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="volume.colorbar", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="volume.colorbar", **kwargs
):
super(TickcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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

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import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="volume.colorbar", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@ -0,0 +1,21 @@
import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="volume.colorbar",
**kwargs,
):
super(TickformatstopdefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="tickformatstops", parent_name="volume.colorbar", **kwargs
):
super(TickformatstopsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
data_docs=kwargs.pop(
"data_docs",
"""
dtickrange
range [*min*, *max*], where "min", "max" -
dtick values which describe some zoom level, it
is possible to omit "min" or "max" value by
passing "null"
enabled
Determines whether or not this stop is used. If
`false`, this stop is ignored even within its
`dtickrange`.
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.
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`.
value
string - dtickformat for described zoom level,
the same as "tickformat"
""",
),
**kwargs,
)

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