plotnine.geoms.geom_crossbar

class plotnine.geoms.geom_crossbar(*args, **kwargs)[source]

Vertical interval represented by a crossbar

Usage

geom_crossbar(mapping=None, data=None, stat='identity', position='identity',
              na_rm=False, inherit_aes=True, show_legend=None, fatten=2,
              width=0.5, **kwargs)

Only the mapping and data can be positional, the rest must be keyword arguments. **kwargs can be aesthetics (or parameters) used by the stat.

Parameters:
mapping : aes, optional

Aesthetic mappings created with aes(). If specified and inherit.aes=True, it is combined with the default mapping for the plot. You must supply mapping if there is no plot mapping.

Aesthetic Default value
x  
y  
ymax  
ymin  
alpha 1
color 'black'
fill None
group  
linetype 'solid'
size 0.5

The bold aesthetics are required.

data : dataframe, optional

The data to be displayed in this layer. If None, the data from from the ggplot() call is used. If specified, it overrides the data from the ggplot() call.

stat : str or stat, optional (default: identity)

The statistical transformation to use on the data for this layer. If it is a string, it must be the registered and known to Plotnine.

position : str or position, optional (default: identity)

Position adjustment. If it is a string, it must be registered and known to Plotnine.

na_rm : bool, optional (default: False)

If False, removes missing values with a warning. If True silently removes missing values.

inherit_aes : bool, optional (default: True)

If False, overrides the default aesthetics.

show_legend : bool or dict, optional (default: None)

Whether this layer should be included in the legends. None the default, includes any aesthetics that are mapped. If a bool, False never includes and True always includes. A dict can be used to exclude specific aesthetis of the layer from showing in the legend. e.g show_legend={'color': False}, any other aesthetic are included by default.

width : float or None, optional (default: 0.5)

Box width. If None, the width is set to 90% of the resolution of the data.

fatten : float, optional (default: 2)

A multiplicative factor used to increase the size of the middle bar across the box.