def __init__(
self,
arg=None,
angularaxis=None,
bgcolor=None,
domain=None,
gridshape=None,
radialaxis=None,
sector=None,
**kwargs
):
"""
Construct a new Polar object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.layout.Polar
angularaxis
plotly.graph_objs.layout.polar.AngularAxis instance or
dict with compatible properties
bgcolor
Set the background color of the subplot
domain
plotly.graph_objs.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).
radialaxis
plotly.graph_objs.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.
Returns
-------
Polar
"""
super(Polar, self).__init__('polar')
# 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 plotly.graph_objs.layout.Polar"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop('skip_invalid', False)
# Import validators
# -----------------
from plotly.validators.layout import (polar as v_polar)
# Initialize validators
# ---------------------
self._validators['angularaxis'] = v_polar.AngularAxisValidator()
self._validators['bgcolor'] = v_polar.BgcolorValidator()
self._validators['domain'] = v_polar.DomainValidator()
self._validators['gridshape'] = v_polar.GridshapeValidator()
self._validators['radialaxis'] = v_polar.RadialAxisValidator()
self._validators['sector'] = v_polar.SectorValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop('angularaxis', None)
self['angularaxis'] = angularaxis if angularaxis is not None else _v
_v = arg.pop('bgcolor', None)
self['bgcolor'] = bgcolor if bgcolor is not None else _v
_v = arg.pop('domain', None)
self['domain'] = domain if domain is not None else _v
_v = arg.pop('gridshape', None)
self['gridshape'] = gridshape if gridshape is not None else _v
_v = arg.pop('radialaxis', None)
self['radialaxis'] = radialaxis if radialaxis is not None else _v
_v = arg.pop('sector', None)
self['sector'] = sector if sector is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False
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 plotly.graph_objs.layout.Polar
angularaxis
plotly.graph_objs.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
plotly.graph_objs.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
plotly.graph_objs.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')
# 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 plotly.graph_objs.layout.Polar""")
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop('skip_invalid', False)
# Import validators
# -----------------
from plotly.validators.layout import (polar as v_polar)
# Initialize validators
# ---------------------
self._validators['angularaxis'] = v_polar.AngularAxisValidator()
self._validators['bargap'] = v_polar.BargapValidator()
self._validators['barmode'] = v_polar.BarmodeValidator()
self._validators['bgcolor'] = v_polar.BgcolorValidator()
self._validators['domain'] = v_polar.DomainValidator()
self._validators['gridshape'] = v_polar.GridshapeValidator()
self._validators['hole'] = v_polar.HoleValidator()
self._validators['radialaxis'] = v_polar.RadialAxisValidator()
self._validators['sector'] = v_polar.SectorValidator()
self._validators['uirevision'] = v_polar.UirevisionValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop('angularaxis', None)
self['angularaxis'] = angularaxis if angularaxis is not None else _v
_v = arg.pop('bargap', None)
self['bargap'] = bargap if bargap is not None else _v
_v = arg.pop('barmode', None)
self['barmode'] = barmode if barmode is not None else _v
_v = arg.pop('bgcolor', None)
self['bgcolor'] = bgcolor if bgcolor is not None else _v
_v = arg.pop('domain', None)
self['domain'] = domain if domain is not None else _v
_v = arg.pop('gridshape', None)
self['gridshape'] = gridshape if gridshape is not None else _v
_v = arg.pop('hole', None)
self['hole'] = hole if hole is not None else _v
_v = arg.pop('radialaxis', None)
self['radialaxis'] = radialaxis if radialaxis is not None else _v
_v = arg.pop('sector', None)
self['sector'] = sector if sector is not None else _v
_v = arg.pop('uirevision', None)
self['uirevision'] = uirevision if uirevision is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False