def BoxPlot(data, label=None, values=None, color=None, group=None, xscale='categorical', yscale='linear', xgrid=False, ygrid=True, continuous_range=None, **kw):
 if (continuous_range and (not isinstance(continuous_range, Range1d))):
  raise ValueError('continuous_range must be an instance of bokeh.models.ranges.Range1d')
 y_range = continuous_range
 kw['label'] = label
 kw['values'] = values
 kw['color'] = color
 kw['group'] = group
 kw['xscale'] = xscale
 kw['yscale'] = yscale
 kw['xgrid'] = xgrid
 kw['ygrid'] = ygrid
 kw['y_range'] = y_range
 return create_and_build(BoxPlotBuilder, data, **kw)

def BoxPlot ( data , label = None , values = None , color = None , group = None , xscale = 'categorical' , yscale = 'linear' , xgrid = False , ygrid = True , continuous_range = None , ** kw ) : if ( continuous_range and ( not isinstance ( continuous_range , Range1d ) ) ) : raise ValueError ( 'continuous_range must be an instance of bokeh.models.ranges.Range1d' ) y_range = continuous_range kw [ 'label' ] = label kw [ 'values' ] = values kw [ 'color' ] = color kw [ 'group' ] = group kw [ 'xscale' ] = xscale kw [ 'yscale' ] = yscale kw [ 'xgrid' ] = xgrid kw [ 'ygrid' ] = ygrid kw [ 'y_range' ] = y_range return create_and_build ( BoxPlotBuilder , data , ** kw )
create a boxplot chart containing one or more boxes from table-like data .