class plotnine.facets.facet_wrap(facets=None, nrow=None, ncol=None, scales='fixed', shrink=True, labeller='label_value', as_table=True, drop=True, dir='h')[source]

Wrap 1D Panels onto 2D surface

facets : formula | tuple | list

Variables to groupby and plot on different panels. If a formula is used it should be right sided, e.g '~ a + b', ('a', 'b')

nrow : int, optional

Number of rows

ncol : int, optional

Number of columns

scales : str in ['fixed', 'free', 'free_x', 'free_y']

Whether x or y scales should be allowed (free) to vary according to the data on each of the panel. Default is 'fixed'.

shrink : bool

Whether to shrink the scales to the output of the statistics instead of the raw data. Default is True.

labeller : str | function

How to label the facets. If it is a str, it should be one of 'label_value' 'label_both' or 'label_context'. Default is 'label_value'

as_table : bool

If True, the facets are laid out like a table with the highest values at the bottom-right. If False the facets are laid out like a plot with the highest value a the top-right. Default it True.

drop : bool

If True, all factor levels not used in the data will automatically be dropped. If False, all factor levels will be shown, regardless of whether or not they appear in the data. Default is True.

dir : str in ['h', 'v']

Direction in which to layout the panels. h for horizontal and v for vertical.