stat_bin_2d(mapping=None, data=None, **kwargs)¶
2 Dimensional bin counts
stat_bin_2d(mapping=None, data=None, geom='rect', position='identity', na_rm=False, bins=30, binwidth=None, breaks=None, drop=True, **kwargs)
data can be positional, the rest must
be keyword arguments.
**kwargs can be aesthetics (or parameters)
used by the
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.
The bold aesthetics are required.
Options for computed aesthetics
'count' # number of points in bin 'density' # density of points in bin, scaled to integrate to 1
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
stror geom, optional (default:
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.
stror position, optional (default:
Position adjustment. If it is a string, it must be registered and known to Plotnine.
False, removes missing values with a warning. If
True silently removes missing values.
int, optional (default: 30)
Number of bins. Overridden by binwidth.
s), optional (default:
Bin boundaries. This supercedes the
boundary. It can be an array_like or
a list of two array_likes to provide distinct breaks for
float, optional (default:
The width of the bins. The default is to use bins bins that cover the range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data.
True, removes all cells with zero counts.