first commit

This commit is contained in:
Ayxan
2022-05-23 00:16:32 +04:00
commit d660f2a4ca
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._threshold import ThresholdValidator
from ._stepdefaults import StepdefaultsValidator
from ._steps import StepsValidator
from ._shape import ShapeValidator
from ._borderwidth import BorderwidthValidator
from ._bordercolor import BordercolorValidator
from ._bgcolor import BgcolorValidator
from ._bar import BarValidator
from ._axis import AxisValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._threshold.ThresholdValidator",
"._stepdefaults.StepdefaultsValidator",
"._steps.StepsValidator",
"._shape.ShapeValidator",
"._borderwidth.BorderwidthValidator",
"._bordercolor.BordercolorValidator",
"._bgcolor.BgcolorValidator",
"._bar.BarValidator",
"._axis.AxisValidator",
],
)

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import _plotly_utils.basevalidators
class AxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="axis", parent_name="indicator.gauge", **kwargs):
super(AxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Axis"),
data_docs=kwargs.pop(
"data_docs",
"""
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.
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".
range
Sets the range of this axis.
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.
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.indicat
or.gauge.axis.Tickformatstop` instances or
dicts with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.dat
a.indicator.gauge.axis.tickformatstopdefaults),
sets the default property values to use for
elements of
indicator.gauge.axis.tickformatstops
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).
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
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class BarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="bar", parent_name="indicator.gauge", **kwargs):
super(BarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Bar"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the background color of the arc.
line
:class:`plotly.graph_objects.indicator.gauge.ba
r.Line` instance or dict with compatible
properties
thickness
Sets the thickness of the bar as a fraction of
the total thickness of the gauge.
""",
),
**kwargs,
)

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

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

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

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import _plotly_utils.basevalidators
class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="shape", parent_name="indicator.gauge", **kwargs):
super(ShapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["angular", "bullet"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class StepdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="stepdefaults", parent_name="indicator.gauge", **kwargs
):
super(StepdefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Step"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="steps", parent_name="indicator.gauge", **kwargs):
super(StepsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Step"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the background color of the arc.
line
:class:`plotly.graph_objects.indicator.gauge.st
ep.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.
range
Sets the range of this axis.
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`.
thickness
Sets the thickness of the bar as a fraction of
the total thickness of the gauge.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class ThresholdValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="threshold", parent_name="indicator.gauge", **kwargs
):
super(ThresholdValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Threshold"),
data_docs=kwargs.pop(
"data_docs",
"""
line
:class:`plotly.graph_objects.indicator.gauge.th
reshold.Line` instance or dict with compatible
properties
thickness
Sets the thickness of the threshold line as a
fraction of the thickness of the gauge.
value
Sets a treshold value drawn as a line.
""",
),
**kwargs,
)

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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._visible import VisibleValidator
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 ._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 ._showticksuffix import ShowticksuffixValidator
from ._showtickprefix import ShowtickprefixValidator
from ._showticklabels import ShowticklabelsValidator
from ._showexponent import ShowexponentValidator
from ._separatethousands import SeparatethousandsValidator
from ._range import RangeValidator
from ._nticks import NticksValidator
from ._minexponent import MinexponentValidator
from ._exponentformat import ExponentformatValidator
from ._dtick import DtickValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._visible.VisibleValidator",
"._tickwidth.TickwidthValidator",
"._tickvalssrc.TickvalssrcValidator",
"._tickvals.TickvalsValidator",
"._ticktextsrc.TicktextsrcValidator",
"._ticktext.TicktextValidator",
"._ticksuffix.TicksuffixValidator",
"._ticks.TicksValidator",
"._tickprefix.TickprefixValidator",
"._tickmode.TickmodeValidator",
"._ticklen.TicklenValidator",
"._ticklabelstep.TicklabelstepValidator",
"._tickformatstopdefaults.TickformatstopdefaultsValidator",
"._tickformatstops.TickformatstopsValidator",
"._tickformat.TickformatValidator",
"._tickfont.TickfontValidator",
"._tickcolor.TickcolorValidator",
"._tickangle.TickangleValidator",
"._tick0.Tick0Validator",
"._showticksuffix.ShowticksuffixValidator",
"._showtickprefix.ShowtickprefixValidator",
"._showticklabels.ShowticklabelsValidator",
"._showexponent.ShowexponentValidator",
"._separatethousands.SeparatethousandsValidator",
"._range.RangeValidator",
"._nticks.NticksValidator",
"._minexponent.MinexponentValidator",
"._exponentformat.ExponentformatValidator",
"._dtick.DtickValidator",
],
)

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import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="indicator.gauge.axis", **kwargs
):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
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="indicator.gauge.axis", **kwargs
):
super(ExponentformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="indicator.gauge.axis", **kwargs
):
super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
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="indicator.gauge.axis", **kwargs
):
super(NticksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self, plotly_name="range", parent_name="indicator.gauge.axis", **kwargs
):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
items=kwargs.pop(
"items",
[
{"editType": "plot", "valType": "number"},
{"editType": "plot", "valType": "number"},
],
),
**kwargs,
)

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import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="separatethousands",
parent_name="indicator.gauge.axis",
**kwargs,
):
super(SeparatethousandsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showexponent", parent_name="indicator.gauge.axis", **kwargs
):
super(ShowexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="indicator.gauge.axis", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showtickprefix", parent_name="indicator.gauge.axis", **kwargs
):
super(ShowtickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="indicator.gauge.axis", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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

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import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="indicator.gauge.axis", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="indicator.gauge.axis", **kwargs
):
super(TickcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="tickfont", parent_name="indicator.gauge.axis", **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="indicator.gauge.axis", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="indicator.gauge.axis",
**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="indicator.gauge.axis",
**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,
)

View File

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import _plotly_utils.basevalidators
class TicklabelstepValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="ticklabelstep", parent_name="indicator.gauge.axis", **kwargs
):
super(TicklabelstepValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 1),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ticklen", parent_name="indicator.gauge.axis", **kwargs
):
super(TicklenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="tickmode", parent_name="indicator.gauge.axis", **kwargs
):
super(TickmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {}),
values=kwargs.pop("values", ["auto", "linear", "array"]),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickprefix", parent_name="indicator.gauge.axis", **kwargs
):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ticks", parent_name="indicator.gauge.axis", **kwargs
):
super(TicksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["outside", "inside", ""]),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="ticksuffix", parent_name="indicator.gauge.axis", **kwargs
):
super(TicksuffixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="ticktext", parent_name="indicator.gauge.axis", **kwargs
):
super(TicktextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="ticktextsrc", parent_name="indicator.gauge.axis", **kwargs
):
super(TicktextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="indicator.gauge.axis", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="indicator.gauge.axis", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="indicator.gauge.axis", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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

View File

@@ -0,0 +1,15 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="indicator.gauge.axis.tickfont", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,18 @@
import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="indicator.gauge.axis.tickfont",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
no_blank=kwargs.pop("no_blank", True),
strict=kwargs.pop("strict", True),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="indicator.gauge.axis.tickfont", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 1),
**kwargs,
)

View File

@@ -0,0 +1,23 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._value import ValueValidator
from ._templateitemname import TemplateitemnameValidator
from ._name import NameValidator
from ._enabled import EnabledValidator
from ._dtickrange import DtickrangeValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._value.ValueValidator",
"._templateitemname.TemplateitemnameValidator",
"._name.NameValidator",
"._enabled.EnabledValidator",
"._dtickrange.DtickrangeValidator",
],
)

View File

@@ -0,0 +1,23 @@
import _plotly_utils.basevalidators
class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self,
plotly_name="dtickrange",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(DtickrangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
items=kwargs.pop(
"items",
[
{"editType": "plot", "valType": "any"},
{"editType": "plot", "valType": "any"},
],
),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="enabled",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(EnabledValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="name",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="value",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,19 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._thickness import ThicknessValidator
from ._line import LineValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._thickness.ThicknessValidator",
"._line.LineValidator",
"._color.ColorValidator",
],
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="indicator.gauge.bar", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,22 @@
import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="indicator.gauge.bar", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the color of the line enclosing each
sector.
width
Sets the width (in px) of the line enclosing
each sector.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="indicator.gauge.bar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="indicator.gauge.bar.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="indicator.gauge.bar.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,25 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._thickness import ThicknessValidator
from ._templateitemname import TemplateitemnameValidator
from ._range import RangeValidator
from ._name import NameValidator
from ._line import LineValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._thickness.ThicknessValidator",
"._templateitemname.TemplateitemnameValidator",
"._range.RangeValidator",
"._name.NameValidator",
"._line.LineValidator",
"._color.ColorValidator",
],
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="indicator.gauge.step", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,24 @@
import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="line", parent_name="indicator.gauge.step", **kwargs
):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the color of the line enclosing each
sector.
width
Sets the width (in px) of the line enclosing
each sector.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="name", parent_name="indicator.gauge.step", **kwargs
):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@@ -0,0 +1,20 @@
import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self, plotly_name="range", parent_name="indicator.gauge.step", **kwargs
):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
items=kwargs.pop(
"items",
[
{"editType": "plot", "valType": "number"},
{"editType": "plot", "valType": "number"},
],
),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="indicator.gauge.step",
**kwargs,
):
super(TemplateitemnameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="indicator.gauge.step", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

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

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="indicator.gauge.step.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="indicator.gauge.step.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,19 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._value import ValueValidator
from ._thickness import ThicknessValidator
from ._line import LineValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._value.ValueValidator",
"._thickness.ThicknessValidator",
"._line.LineValidator",
],
)

View File

@@ -0,0 +1,22 @@
import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="line", parent_name="indicator.gauge.threshold", **kwargs
):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the color of the threshold line.
width
Sets the width (in px) of the threshold line.
""",
),
**kwargs,
)

View File

@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="indicator.gauge.threshold", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="value", parent_name="indicator.gauge.threshold", **kwargs
):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

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

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="indicator.gauge.threshold.line",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="width",
parent_name="indicator.gauge.threshold.line",
**kwargs,
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
min=kwargs.pop("min", 0),
**kwargs,
)