2022-05-23 00:16:32 +04:00

1086 lines
48 KiB
Python

from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Polar(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout"
_path_str = "layout.polar"
_valid_props = {
"angularaxis",
"bargap",
"barmode",
"bgcolor",
"domain",
"gridshape",
"hole",
"radialaxis",
"sector",
"uirevision",
}
# angularaxis
# -----------
@property
def angularaxis(self):
"""
The 'angularaxis' property is an instance of AngularAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.polar.AngularAxis`
- A dict of string/value properties that will be passed
to the AngularAxis constructor
Supported dict properties:
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
Returns
-------
plotly.graph_objs.layout.polar.AngularAxis
"""
return self["angularaxis"]
@angularaxis.setter
def angularaxis(self, val):
self["angularaxis"] = val
# bargap
# ------
@property
def bargap(self):
"""
Sets the gap between bars of adjacent location coordinates.
Values are unitless, they represent fractions of the minimum
difference in bar positions in the data.
The 'bargap' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["bargap"]
@bargap.setter
def bargap(self, val):
self["bargap"] = val
# barmode
# -------
@property
def barmode(self):
"""
Determines how bars at the same location coordinate are
displayed on the graph. With "stack", the bars are stacked on
top of one another With "overlay", the bars are plotted over
one another, you might need to an "opacity" to see multiple
bars.
The 'barmode' property is an enumeration that may be specified as:
- One of the following enumeration values:
['stack', 'overlay']
Returns
-------
Any
"""
return self["barmode"]
@barmode.setter
def barmode(self, val):
self["barmode"] = val
# bgcolor
# -------
@property
def bgcolor(self):
"""
Set the background color of the subplot
The 'bgcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
Returns
-------
str
"""
return self["bgcolor"]
@bgcolor.setter
def bgcolor(self, val):
self["bgcolor"] = val
# domain
# ------
@property
def domain(self):
"""
The 'domain' property is an instance of Domain
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.polar.Domain`
- A dict of string/value properties that will be passed
to the Domain constructor
Supported dict properties:
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).
Returns
-------
plotly.graph_objs.layout.polar.Domain
"""
return self["domain"]
@domain.setter
def domain(self, val):
self["domain"] = val
# gridshape
# ---------
@property
def gridshape(self):
"""
Determines if the radial axis grid lines and angular axis line
are drawn as "circular" sectors or as "linear" (polygon)
sectors. Has an effect only when the angular axis has `type`
"category". Note that `radialaxis.angle` is snapped to the
angle of the closest vertex when `gridshape` is "circular" (so
that radial axis scale is the same as the data scale).
The 'gridshape' property is an enumeration that may be specified as:
- One of the following enumeration values:
['circular', 'linear']
Returns
-------
Any
"""
return self["gridshape"]
@gridshape.setter
def gridshape(self, val):
self["gridshape"] = val
# hole
# ----
@property
def hole(self):
"""
Sets the fraction of the radius to cut out of the polar
subplot.
The 'hole' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["hole"]
@hole.setter
def hole(self, val):
self["hole"] = val
# radialaxis
# ----------
@property
def radialaxis(self):
"""
The 'radialaxis' property is an instance of RadialAxis
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.polar.RadialAxis`
- A dict of string/value properties that will be passed
to the RadialAxis constructor
Supported dict properties:
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
Returns
-------
plotly.graph_objs.layout.polar.RadialAxis
"""
return self["radialaxis"]
@radialaxis.setter
def radialaxis(self, val):
self["radialaxis"] = val
# sector
# ------
@property
def sector(self):
"""
Sets angular span of this polar subplot with two angles (in
degrees). Sector are assumed to be spanned in the
counterclockwise direction with 0 corresponding to rightmost
limit of the polar subplot.
The 'sector' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'sector[0]' property is a number and may be specified as:
- An int or float
(1) The 'sector[1]' property is a number and may be specified as:
- An int or float
Returns
-------
list
"""
return self["sector"]
@sector.setter
def sector(self, val):
self["sector"] = val
# uirevision
# ----------
@property
def uirevision(self):
"""
Controls persistence of user-driven changes in axis attributes,
if not overridden in the individual axes. Defaults to
`layout.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
"""
return self["uirevision"]
@uirevision.setter
def uirevision(self, val):
self["uirevision"] = val
# Self properties description
# ---------------------------
@property
def _prop_descriptions(self):
return """\
angularaxis
:class:`plotly.graph_objects.layout.polar.AngularAxis`
instance or dict with compatible properties
bargap
Sets the gap between bars of adjacent location
coordinates. Values are unitless, they represent
fractions of the minimum difference in bar positions in
the data.
barmode
Determines how bars at the same location coordinate are
displayed on the graph. With "stack", the bars are
stacked on top of one another With "overlay", the bars
are plotted over one another, you might need to an
"opacity" to see multiple bars.
bgcolor
Set the background color of the subplot
domain
:class:`plotly.graph_objects.layout.polar.Domain`
instance or dict with compatible properties
gridshape
Determines if the radial axis grid lines and angular
axis line are drawn as "circular" sectors or as
"linear" (polygon) sectors. Has an effect only when the
angular axis has `type` "category". Note that
`radialaxis.angle` is snapped to the angle of the
closest vertex when `gridshape` is "circular" (so that
radial axis scale is the same as the data scale).
hole
Sets the fraction of the radius to cut out of the polar
subplot.
radialaxis
:class:`plotly.graph_objects.layout.polar.RadialAxis`
instance or dict with compatible properties
sector
Sets angular span of this polar subplot with two angles
(in degrees). Sector are assumed to be spanned in the
counterclockwise direction with 0 corresponding to
rightmost limit of the polar subplot.
uirevision
Controls persistence of user-driven changes in axis
attributes, if not overridden in the individual axes.
Defaults to `layout.uirevision`.
"""
def __init__(
self,
arg=None,
angularaxis=None,
bargap=None,
barmode=None,
bgcolor=None,
domain=None,
gridshape=None,
hole=None,
radialaxis=None,
sector=None,
uirevision=None,
**kwargs,
):
"""
Construct a new Polar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.layout.Polar`
angularaxis
:class:`plotly.graph_objects.layout.polar.AngularAxis`
instance or dict with compatible properties
bargap
Sets the gap between bars of adjacent location
coordinates. Values are unitless, they represent
fractions of the minimum difference in bar positions in
the data.
barmode
Determines how bars at the same location coordinate are
displayed on the graph. With "stack", the bars are
stacked on top of one another With "overlay", the bars
are plotted over one another, you might need to an
"opacity" to see multiple bars.
bgcolor
Set the background color of the subplot
domain
:class:`plotly.graph_objects.layout.polar.Domain`
instance or dict with compatible properties
gridshape
Determines if the radial axis grid lines and angular
axis line are drawn as "circular" sectors or as
"linear" (polygon) sectors. Has an effect only when the
angular axis has `type` "category". Note that
`radialaxis.angle` is snapped to the angle of the
closest vertex when `gridshape` is "circular" (so that
radial axis scale is the same as the data scale).
hole
Sets the fraction of the radius to cut out of the polar
subplot.
radialaxis
:class:`plotly.graph_objects.layout.polar.RadialAxis`
instance or dict with compatible properties
sector
Sets angular span of this polar subplot with two angles
(in degrees). Sector are assumed to be spanned in the
counterclockwise direction with 0 corresponding to
rightmost limit of the polar subplot.
uirevision
Controls persistence of user-driven changes in axis
attributes, if not overridden in the individual axes.
Defaults to `layout.uirevision`.
Returns
-------
Polar
"""
super(Polar, self).__init__("polar")
if "_parent" in kwargs:
self._parent = kwargs["_parent"]
return
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.Polar
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.Polar`"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
self._validate = kwargs.pop("_validate", True)
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("angularaxis", None)
_v = angularaxis if angularaxis is not None else _v
if _v is not None:
self["angularaxis"] = _v
_v = arg.pop("bargap", None)
_v = bargap if bargap is not None else _v
if _v is not None:
self["bargap"] = _v
_v = arg.pop("barmode", None)
_v = barmode if barmode is not None else _v
if _v is not None:
self["barmode"] = _v
_v = arg.pop("bgcolor", None)
_v = bgcolor if bgcolor is not None else _v
if _v is not None:
self["bgcolor"] = _v
_v = arg.pop("domain", None)
_v = domain if domain is not None else _v
if _v is not None:
self["domain"] = _v
_v = arg.pop("gridshape", None)
_v = gridshape if gridshape is not None else _v
if _v is not None:
self["gridshape"] = _v
_v = arg.pop("hole", None)
_v = hole if hole is not None else _v
if _v is not None:
self["hole"] = _v
_v = arg.pop("radialaxis", None)
_v = radialaxis if radialaxis is not None else _v
if _v is not None:
self["radialaxis"] = _v
_v = arg.pop("sector", None)
_v = sector if sector is not None else _v
if _v is not None:
self["sector"] = _v
_v = arg.pop("uirevision", None)
_v = uirevision if uirevision is not None else _v
if _v is not None:
self["uirevision"] = _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False