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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 ._uirevision import UirevisionValidator
from ._sector import SectorValidator
from ._radialaxis import RadialaxisValidator
from ._hole import HoleValidator
from ._gridshape import GridshapeValidator
from ._domain import DomainValidator
from ._bgcolor import BgcolorValidator
from ._barmode import BarmodeValidator
from ._bargap import BargapValidator
from ._angularaxis import AngularaxisValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._uirevision.UirevisionValidator",
"._sector.SectorValidator",
"._radialaxis.RadialaxisValidator",
"._hole.HoleValidator",
"._gridshape.GridshapeValidator",
"._domain.DomainValidator",
"._bgcolor.BgcolorValidator",
"._barmode.BarmodeValidator",
"._bargap.BargapValidator",
"._angularaxis.AngularaxisValidator",
],
)

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import _plotly_utils.basevalidators
class AngularaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="angularaxis", parent_name="layout.polar", **kwargs):
super(AngularaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "AngularAxis"),
data_docs=kwargs.pop(
"data_docs",
"""
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean or median of all the values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
direction
Sets the direction corresponding to positive
angles.
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.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
layer
Sets the layer on which this axis is displayed.
If *above traces*, this axis is displayed above
all the subplot's traces If *below traces*,
this axis is displayed below all the subplot's
traces, but above the grid lines. Useful when
used together with scatter-like traces with
`cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
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".
period
Set the angular period. Has an effect only when
`angularaxis.type` is "category".
rotation
Sets that start position (in degrees) of the
angular axis By default, polar subplots with
`direction` set to "counterclockwise" get a
`rotation` of 0 which corresponds to due East
(like what mathematicians prefer). In turn,
polar with `direction` set to "clockwise" get a
rotation of 90 which corresponds to due North
(like on a compass),
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.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
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.
thetaunit
Sets the format unit of the formatted "theta"
values. Has an effect only when
`angularaxis.type` is "linear".
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
polar.angularaxis.Tickformatstop` instances or
dicts with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.polar.angularaxis.tickformatstopdefaults),
sets the default property values to use for
elements of
layout.polar.angularaxis.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).
type
Sets the angular axis type. If "linear", set
`thetaunit` to determine the unit in which axis
value are shown. If *category, use `period` to
set the number of integer coordinates around
polar axis.
uirevision
Controls persistence of user-driven changes in
axis `rotation`. Defaults to
`polar<N>.uirevision`.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
""",
),
**kwargs,
)

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

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

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import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="bgcolor", parent_name="layout.polar", **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 DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="domain", parent_name="layout.polar", **kwargs):
super(DomainValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Domain"),
data_docs=kwargs.pop(
"data_docs",
"""
column
If there is a layout grid, use the domain for
this column in the grid for this polar subplot
.
row
If there is a layout grid, use the domain for
this row in the grid for this polar subplot .
x
Sets the horizontal domain of this polar
subplot (in plot fraction).
y
Sets the vertical domain of this polar subplot
(in plot fraction).
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class GridshapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="gridshape", parent_name="layout.polar", **kwargs):
super(GridshapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["circular", "linear"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class HoleValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="hole", parent_name="layout.polar", **kwargs):
super(HoleValidator, 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,
)

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import _plotly_utils.basevalidators
class RadialaxisValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="radialaxis", parent_name="layout.polar", **kwargs):
super(RadialaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "RadialAxis"),
data_docs=kwargs.pop(
"data_docs",
"""
angle
Sets the angle (in degrees) from which the
radial axis is drawn. Note that by default,
radial axis line on the theta=0 line
corresponds to a line pointing right (like what
mathematicians prefer). Defaults to the first
`polar.sector` angle.
autorange
Determines whether or not the range of this
axis is computed in relation to the input data.
See `rangemode` for more info. If `range` is
provided, then `autorange` is set to False.
autotypenumbers
Using "strict" a numeric string in trace data
is not converted to a number. Using *convert
types* a numeric string in trace data may be
treated as a number during automatic axis
`type` detection. Defaults to
layout.autotypenumbers.
calendar
Sets the calendar system to use for `range` and
`tick0` if this is a date axis. This does not
set the calendar for interpreting data on this
axis, that's specified in the trace or via the
global `layout.calendar`
categoryarray
Sets the order in which categories on this axis
appear. Only has an effect if `categoryorder`
is set to "array". Used with `categoryorder`.
categoryarraysrc
Sets the source reference on Chart Studio Cloud
for `categoryarray`.
categoryorder
Specifies the ordering logic for the case of
categorical variables. By default, plotly uses
"trace", which specifies the order that is
present in the data supplied. Set
`categoryorder` to *category ascending* or
*category descending* if order should be
determined by the alphanumerical order of the
category names. Set `categoryorder` to "array"
to derive the ordering from the attribute
`categoryarray`. If a category is not found in
the `categoryarray` array, the sorting behavior
for that attribute will be identical to the
"trace" mode. The unspecified categories will
follow the categories in `categoryarray`. Set
`categoryorder` to *total ascending* or *total
descending* if order should be determined by
the numerical order of the values. Similarly,
the order can be determined by the min, max,
sum, mean or median of all the values.
color
Sets default for all colors associated with
this axis all at once: line, font, tick, and
grid colors. Grid color is lightened by
blending this with the plot background
Individual pieces can override this.
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.
gridcolor
Sets the color of the grid lines.
griddash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
gridwidth
Sets the width (in px) of the grid lines.
hoverformat
Sets the hover text formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
layer
Sets the layer on which this axis is displayed.
If *above traces*, this axis is displayed above
all the subplot's traces If *below traces*,
this axis is displayed below all the subplot's
traces, but above the grid lines. Useful when
used together with scatter-like traces with
`cliponaxis` set to False to show markers
and/or text nodes above this axis.
linecolor
Sets the axis line color.
linewidth
Sets the width (in px) of the axis line.
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. If the axis `type`
is "log", then you must take the log of your
desired range (e.g. to set the range from 1 to
100, set the range from 0 to 2). If the axis
`type` is "date", it should be date strings,
like date data, though Date objects and unix
milliseconds will be accepted and converted to
strings. If the axis `type` is "category", it
should be numbers, using the scale where each
category is assigned a serial number from zero
in the order it appears.
rangemode
If *tozero*`, the range extends to 0,
regardless of the input data If "nonnegative",
the range is non-negative, regardless of the
input data. If "normal", the range is computed
in relation to the extrema of the input data
(same behavior as for cartesian axes).
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.
showgrid
Determines whether or not grid lines are drawn.
If True, the grid lines are drawn at every tick
mark.
showline
Determines whether or not a line bounding this
axis is drawn.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
side
Determines on which side of radial axis line
the tick and tick labels appear.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the tick font.
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.layout.
polar.radialaxis.Tickformatstop` instances or
dicts with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.lay
out.polar.radialaxis.tickformatstopdefaults),
sets the default property values to use for
elements of
layout.polar.radialaxis.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).
title
:class:`plotly.graph_objects.layout.polar.radia
laxis.Title` instance or dict with compatible
properties
titlefont
Deprecated: Please use
layout.polar.radialaxis.title.font instead.
Sets this axis' title font. Note that the
title's font used to be customized by the now
deprecated `titlefont` attribute.
type
Sets the axis type. By default, plotly attempts
to determined the axis type by looking into the
data of the traces that referenced the axis in
question.
uirevision
Controls persistence of user-driven changes in
axis `range`, `autorange`, `angle`, and `title`
if in `editable: true` configuration. Defaults
to `polar<N>.uirevision`.
visible
A single toggle to hide the axis while
preserving interaction like dragging. Default
is true when a cheater plot is present on the
axis, otherwise false
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class SectorValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="sector", parent_name="layout.polar", **kwargs):
super(SectorValidator, 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 UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="layout.polar", **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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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._visible import VisibleValidator
from ._uirevision import UirevisionValidator
from ._type import TypeValidator
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 ._thetaunit import ThetaunitValidator
from ._showticksuffix import ShowticksuffixValidator
from ._showtickprefix import ShowtickprefixValidator
from ._showticklabels import ShowticklabelsValidator
from ._showline import ShowlineValidator
from ._showgrid import ShowgridValidator
from ._showexponent import ShowexponentValidator
from ._separatethousands import SeparatethousandsValidator
from ._rotation import RotationValidator
from ._period import PeriodValidator
from ._nticks import NticksValidator
from ._minexponent import MinexponentValidator
from ._linewidth import LinewidthValidator
from ._linecolor import LinecolorValidator
from ._layer import LayerValidator
from ._hoverformat import HoverformatValidator
from ._gridwidth import GridwidthValidator
from ._griddash import GriddashValidator
from ._gridcolor import GridcolorValidator
from ._exponentformat import ExponentformatValidator
from ._dtick import DtickValidator
from ._direction import DirectionValidator
from ._color import ColorValidator
from ._categoryorder import CategoryorderValidator
from ._categoryarraysrc import CategoryarraysrcValidator
from ._categoryarray import CategoryarrayValidator
from ._autotypenumbers import AutotypenumbersValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._visible.VisibleValidator",
"._uirevision.UirevisionValidator",
"._type.TypeValidator",
"._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",
"._thetaunit.ThetaunitValidator",
"._showticksuffix.ShowticksuffixValidator",
"._showtickprefix.ShowtickprefixValidator",
"._showticklabels.ShowticklabelsValidator",
"._showline.ShowlineValidator",
"._showgrid.ShowgridValidator",
"._showexponent.ShowexponentValidator",
"._separatethousands.SeparatethousandsValidator",
"._rotation.RotationValidator",
"._period.PeriodValidator",
"._nticks.NticksValidator",
"._minexponent.MinexponentValidator",
"._linewidth.LinewidthValidator",
"._linecolor.LinecolorValidator",
"._layer.LayerValidator",
"._hoverformat.HoverformatValidator",
"._gridwidth.GridwidthValidator",
"._griddash.GriddashValidator",
"._gridcolor.GridcolorValidator",
"._exponentformat.ExponentformatValidator",
"._dtick.DtickValidator",
"._direction.DirectionValidator",
"._color.ColorValidator",
"._categoryorder.CategoryorderValidator",
"._categoryarraysrc.CategoryarraysrcValidator",
"._categoryarray.CategoryarrayValidator",
"._autotypenumbers.AutotypenumbersValidator",
],
)

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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class AutotypenumbersValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="autotypenumbers",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(AutotypenumbersValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["convert types", "strict"]),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self,
plotly_name="categoryarray",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(CategoryarrayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="categoryarraysrc",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(CategoryarraysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@@ -0,0 +1,37 @@
import _plotly_utils.basevalidators
class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="categoryorder",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(CategoryorderValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"trace",
"category ascending",
"category descending",
"array",
"total ascending",
"total descending",
"min ascending",
"min descending",
"max ascending",
"max descending",
"sum ascending",
"sum descending",
"mean ascending",
"mean descending",
"median ascending",
"median descending",
],
),
**kwargs,
)

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

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="direction", parent_name="layout.polar.angularaxis", **kwargs
):
super(DirectionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["counterclockwise", "clockwise"]),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="layout.polar.angularaxis", **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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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="exponentformat",
parent_name="layout.polar.angularaxis",
**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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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="gridcolor", parent_name="layout.polar.angularaxis", **kwargs
):
super(GridcolorValidator, 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 GriddashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(
self, plotly_name="griddash", parent_name="layout.polar.angularaxis", **kwargs
):
super(GriddashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop(
"values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
),
**kwargs,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="gridwidth", parent_name="layout.polar.angularaxis", **kwargs
):
super(GridwidthValidator, 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 +1,16 @@
import _plotly_utils.basevalidators
class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="hoverformat",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(HoverformatValidator, 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 LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="layer", parent_name="layout.polar.angularaxis", **kwargs
):
super(LayerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["above traces", "below traces"]),
**kwargs,
)

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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="linecolor", parent_name="layout.polar.angularaxis", **kwargs
):
super(LinecolorValidator, 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 LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="linewidth", parent_name="layout.polar.angularaxis", **kwargs
):
super(LinewidthValidator, 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 +1,17 @@
import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="minexponent",
parent_name="layout.polar.angularaxis",
**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,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="nticks", parent_name="layout.polar.angularaxis", **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,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class PeriodValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="period", parent_name="layout.polar.angularaxis", **kwargs
):
super(PeriodValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class RotationValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="rotation", parent_name="layout.polar.angularaxis", **kwargs
):
super(RotationValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

View File

@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="separatethousands",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(SeparatethousandsValidator, 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 ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="layout.polar.angularaxis",
**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,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showgrid", parent_name="layout.polar.angularaxis", **kwargs
):
super(ShowgridValidator, 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 ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showline", parent_name="layout.polar.angularaxis", **kwargs
):
super(ShowlineValidator, 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 ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="showticklabels",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(ShowticklabelsValidator, 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 ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showtickprefix",
parent_name="layout.polar.angularaxis",
**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,
)

View File

@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="layout.polar.angularaxis",
**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,
)

View File

@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ThetaunitValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="thetaunit", parent_name="layout.polar.angularaxis", **kwargs
):
super(ThetaunitValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["radians", "degrees"]),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="tick0", parent_name="layout.polar.angularaxis", **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,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="layout.polar.angularaxis", **kwargs
):
super(TickangleValidator, 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 TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="layout.polar.angularaxis", **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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@@ -0,0 +1,39 @@
import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="tickfont", parent_name="layout.polar.angularaxis", **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,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="layout.polar.angularaxis", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

View File

@@ -0,0 +1,21 @@
import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="layout.polar.angularaxis",
**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,
)

View File

@@ -0,0 +1,54 @@
import _plotly_utils.basevalidators
class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self,
plotly_name="tickformatstops",
parent_name="layout.polar.angularaxis",
**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

@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class TicklabelstepValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="ticklabelstep",
parent_name="layout.polar.angularaxis",
**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="layout.polar.angularaxis", **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,
)

View File

@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="tickmode", parent_name="layout.polar.angularaxis", **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,
)

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import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickprefix", parent_name="layout.polar.angularaxis", **kwargs
):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ticks", parent_name="layout.polar.angularaxis", **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,
)

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

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="ticktextsrc",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(TicktextsrcValidator, 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 _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="layout.polar.angularaxis", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="tickvalssrc",
parent_name="layout.polar.angularaxis",
**kwargs,
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="layout.polar.angularaxis", **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,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="type", parent_name="layout.polar.angularaxis", **kwargs
):
super(TypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["-", "linear", "category"]),
**kwargs,
)

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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="uirevision", parent_name="layout.polar.angularaxis", **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 +1,13 @@
import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="visible", parent_name="layout.polar.angularaxis", **kwargs
):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,15 @@
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"],
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="layout.polar.angularaxis.tickfont",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,18 @@
import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="layout.polar.angularaxis.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,
)

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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="layout.polar.angularaxis.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,
)

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@@ -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",
],
)

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@@ -0,0 +1,23 @@
import _plotly_utils.basevalidators
class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self,
plotly_name="dtickrange",
parent_name="layout.polar.angularaxis.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,
)

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

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

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

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

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@@ -0,0 +1,21 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._y import YValidator
from ._x import XValidator
from ._row import RowValidator
from ._column import ColumnValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._y.YValidator",
"._x.XValidator",
"._row.RowValidator",
"._column.ColumnValidator",
],
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="column", parent_name="layout.polar.domain", **kwargs
):
super(ColumnValidator, 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 +1,12 @@
import _plotly_utils.basevalidators
class RowValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="row", parent_name="layout.polar.domain", **kwargs):
super(RowValidator, 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 +1,18 @@
import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="x", parent_name="layout.polar.domain", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
items=kwargs.pop(
"items",
[
{"editType": "plot", "max": 1, "min": 0, "valType": "number"},
{"editType": "plot", "max": 1, "min": 0, "valType": "number"},
],
),
**kwargs,
)

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@@ -0,0 +1,18 @@
import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="y", parent_name="layout.polar.domain", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
items=kwargs.pop(
"items",
[
{"editType": "plot", "max": 1, "min": 0, "valType": "number"},
{"editType": "plot", "max": 1, "min": 0, "valType": "number"},
],
),
**kwargs,
)

View File

@@ -0,0 +1,115 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._visible import VisibleValidator
from ._uirevision import UirevisionValidator
from ._type import TypeValidator
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 ._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 ._side import SideValidator
from ._showticksuffix import ShowticksuffixValidator
from ._showtickprefix import ShowtickprefixValidator
from ._showticklabels import ShowticklabelsValidator
from ._showline import ShowlineValidator
from ._showgrid import ShowgridValidator
from ._showexponent import ShowexponentValidator
from ._separatethousands import SeparatethousandsValidator
from ._rangemode import RangemodeValidator
from ._range import RangeValidator
from ._nticks import NticksValidator
from ._minexponent import MinexponentValidator
from ._linewidth import LinewidthValidator
from ._linecolor import LinecolorValidator
from ._layer import LayerValidator
from ._hoverformat import HoverformatValidator
from ._gridwidth import GridwidthValidator
from ._griddash import GriddashValidator
from ._gridcolor import GridcolorValidator
from ._exponentformat import ExponentformatValidator
from ._dtick import DtickValidator
from ._color import ColorValidator
from ._categoryorder import CategoryorderValidator
from ._categoryarraysrc import CategoryarraysrcValidator
from ._categoryarray import CategoryarrayValidator
from ._calendar import CalendarValidator
from ._autotypenumbers import AutotypenumbersValidator
from ._autorange import AutorangeValidator
from ._angle import AngleValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._visible.VisibleValidator",
"._uirevision.UirevisionValidator",
"._type.TypeValidator",
"._title.TitleValidator",
"._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",
"._side.SideValidator",
"._showticksuffix.ShowticksuffixValidator",
"._showtickprefix.ShowtickprefixValidator",
"._showticklabels.ShowticklabelsValidator",
"._showline.ShowlineValidator",
"._showgrid.ShowgridValidator",
"._showexponent.ShowexponentValidator",
"._separatethousands.SeparatethousandsValidator",
"._rangemode.RangemodeValidator",
"._range.RangeValidator",
"._nticks.NticksValidator",
"._minexponent.MinexponentValidator",
"._linewidth.LinewidthValidator",
"._linecolor.LinecolorValidator",
"._layer.LayerValidator",
"._hoverformat.HoverformatValidator",
"._gridwidth.GridwidthValidator",
"._griddash.GriddashValidator",
"._gridcolor.GridcolorValidator",
"._exponentformat.ExponentformatValidator",
"._dtick.DtickValidator",
"._color.ColorValidator",
"._categoryorder.CategoryorderValidator",
"._categoryarraysrc.CategoryarraysrcValidator",
"._categoryarray.CategoryarrayValidator",
"._calendar.CalendarValidator",
"._autotypenumbers.AutotypenumbersValidator",
"._autorange.AutorangeValidator",
"._angle.AngleValidator",
],
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class AngleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="angle", parent_name="layout.polar.radialaxis", **kwargs
):
super(AngleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class AutorangeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="autorange", parent_name="layout.polar.radialaxis", **kwargs
):
super(AutorangeValidator, 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", [True, False, "reversed"]),
**kwargs,
)

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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class AutotypenumbersValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="autotypenumbers",
parent_name="layout.polar.radialaxis",
**kwargs,
):
super(AutotypenumbersValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["convert types", "strict"]),
**kwargs,
)

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@@ -0,0 +1,34 @@
import _plotly_utils.basevalidators
class CalendarValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="calendar", parent_name="layout.polar.radialaxis", **kwargs
):
super(CalendarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"chinese",
"coptic",
"discworld",
"ethiopian",
"gregorian",
"hebrew",
"islamic",
"jalali",
"julian",
"mayan",
"nanakshahi",
"nepali",
"persian",
"taiwan",
"thai",
"ummalqura",
],
),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class CategoryarrayValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self,
plotly_name="categoryarray",
parent_name="layout.polar.radialaxis",
**kwargs,
):
super(CategoryarrayValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class CategoryarraysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="categoryarraysrc",
parent_name="layout.polar.radialaxis",
**kwargs,
):
super(CategoryarraysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@@ -0,0 +1,37 @@
import _plotly_utils.basevalidators
class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="categoryorder",
parent_name="layout.polar.radialaxis",
**kwargs,
):
super(CategoryorderValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop(
"values",
[
"trace",
"category ascending",
"category descending",
"array",
"total ascending",
"total descending",
"min ascending",
"min descending",
"max ascending",
"max descending",
"sum ascending",
"sum descending",
"mean ascending",
"mean descending",
"median ascending",
"median descending",
],
),
**kwargs,
)

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

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="layout.polar.radialaxis", **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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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="exponentformat",
parent_name="layout.polar.radialaxis",
**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,
)

View File

@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="gridcolor", parent_name="layout.polar.radialaxis", **kwargs
):
super(GridcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class GriddashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(
self, plotly_name="griddash", parent_name="layout.polar.radialaxis", **kwargs
):
super(GriddashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop(
"values", ["solid", "dot", "dash", "longdash", "dashdot", "longdashdot"]
),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="gridwidth", parent_name="layout.polar.radialaxis", **kwargs
):
super(GridwidthValidator, 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 HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="hoverformat", parent_name="layout.polar.radialaxis", **kwargs
):
super(HoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="layer", parent_name="layout.polar.radialaxis", **kwargs
):
super(LayerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
values=kwargs.pop("values", ["above traces", "below traces"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="linecolor", parent_name="layout.polar.radialaxis", **kwargs
):
super(LinecolorValidator, 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 LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="linewidth", parent_name="layout.polar.radialaxis", **kwargs
):
super(LinewidthValidator, 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 MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="layout.polar.radialaxis", **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="layout.polar.radialaxis", **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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@@ -0,0 +1,30 @@
import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self, plotly_name="range", parent_name="layout.polar.radialaxis", **kwargs
):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
anim=kwargs.pop("anim", True),
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {"autorange": False}),
items=kwargs.pop(
"items",
[
{
"editType": "plot",
"impliedEdits": {"^autorange": False},
"valType": "any",
},
{
"editType": "plot",
"impliedEdits": {"^autorange": False},
"valType": "any",
},
],
),
**kwargs,
)

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@@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="rangemode", parent_name="layout.polar.radialaxis", **kwargs
):
super(RangemodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", ["tozero", "nonnegative", "normal"]),
**kwargs,
)

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@@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="separatethousands",
parent_name="layout.polar.radialaxis",
**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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@@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="layout.polar.radialaxis",
**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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@@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showgrid", parent_name="layout.polar.radialaxis", **kwargs
):
super(ShowgridValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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