@@ -259,6 +259,53 @@ def angularaxis(self):
259259 def angularaxis (self , val ):
260260 self ['angularaxis' ] = val
261261
262+ # bargap
263+ # ------
264+ @property
265+ def bargap (self ):
266+ """
267+ Sets the gap between bars of adjacent location coordinates.
268+ Values are unitless, they represent fractions of the minimum
269+ difference in bar positions in the data.
270+
271+ The 'bargap' property is a number and may be specified as:
272+ - An int or float in the interval [0, 1]
273+
274+ Returns
275+ -------
276+ int|float
277+ """
278+ return self ['bargap' ]
279+
280+ @bargap .setter
281+ def bargap (self , val ):
282+ self ['bargap' ] = val
283+
284+ # barmode
285+ # -------
286+ @property
287+ def barmode (self ):
288+ """
289+ Determines how bars at the same location coordinate are
290+ displayed on the graph. With "stack", the bars are stacked on
291+ top of one another With "overlay", the bars are plotted over
292+ one another, you might need to an "opacity" to see multiple
293+ bars.
294+
295+ The 'barmode' property is an enumeration that may be specified as:
296+ - One of the following enumeration values:
297+ ['stack', 'overlay']
298+
299+ Returns
300+ -------
301+ Any
302+ """
303+ return self ['barmode' ]
304+
305+ @barmode .setter
306+ def barmode (self , val ):
307+ self ['barmode' ] = val
308+
262309 # bgcolor
263310 # -------
264311 @property
@@ -723,6 +770,17 @@ def _prop_descriptions(self):
723770 angularaxis
724771 plotly.graph_objs.layout.polar.AngularAxis instance or
725772 dict with compatible properties
773+ bargap
774+ Sets the gap between bars of adjacent location
775+ coordinates. Values are unitless, they represent
776+ fractions of the minimum difference in bar positions in
777+ the data.
778+ barmode
779+ Determines how bars at the same location coordinate are
780+ displayed on the graph. With "stack", the bars are
781+ stacked on top of one another With "overlay", the bars
782+ are plotted over one another, you might need to an
783+ "opacity" to see multiple bars.
726784 bgcolor
727785 Set the background color of the subplot
728786 domain
@@ -753,6 +811,8 @@ def __init__(
753811 self ,
754812 arg = None ,
755813 angularaxis = None ,
814+ bargap = None ,
815+ barmode = None ,
756816 bgcolor = None ,
757817 domain = None ,
758818 gridshape = None ,
@@ -772,6 +832,17 @@ def __init__(
772832 angularaxis
773833 plotly.graph_objs.layout.polar.AngularAxis instance or
774834 dict with compatible properties
835+ bargap
836+ Sets the gap between bars of adjacent location
837+ coordinates. Values are unitless, they represent
838+ fractions of the minimum difference in bar positions in
839+ the data.
840+ barmode
841+ Determines how bars at the same location coordinate are
842+ displayed on the graph. With "stack", the bars are
843+ stacked on top of one another With "overlay", the bars
844+ are plotted over one another, you might need to an
845+ "opacity" to see multiple bars.
775846 bgcolor
776847 Set the background color of the subplot
777848 domain
@@ -830,6 +901,8 @@ def __init__(
830901 # Initialize validators
831902 # ---------------------
832903 self ._validators ['angularaxis' ] = v_polar .AngularAxisValidator ()
904+ self ._validators ['bargap' ] = v_polar .BargapValidator ()
905+ self ._validators ['barmode' ] = v_polar .BarmodeValidator ()
833906 self ._validators ['bgcolor' ] = v_polar .BgcolorValidator ()
834907 self ._validators ['domain' ] = v_polar .DomainValidator ()
835908 self ._validators ['gridshape' ] = v_polar .GridshapeValidator ()
@@ -841,6 +914,10 @@ def __init__(
841914 # ----------------------------------
842915 _v = arg .pop ('angularaxis' , None )
843916 self ['angularaxis' ] = angularaxis if angularaxis is not None else _v
917+ _v = arg .pop ('bargap' , None )
918+ self ['bargap' ] = bargap if bargap is not None else _v
919+ _v = arg .pop ('barmode' , None )
920+ self ['barmode' ] = barmode if barmode is not None else _v
844921 _v = arg .pop ('bgcolor' , None )
845922 self ['bgcolor' ] = bgcolor if bgcolor is not None else _v
846923 _v = arg .pop ('domain' , None )
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