stat_ydensity(mapping=None, data=None, **kwargs)¶
stat_ydensity(mapping=None, data=None, geom='violin', position='dodge', na_rm=False, bw='nrd0', trim=True, scale='area', adjust=1, kernel='gaussian', n=1024, **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
'width' # Maximum width of density, [0, 1] range.
Calculated aesthetics are accessed using the stat function.
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.
str, optional (default: 'gaussian')
Kernel used for density estimation. One of:
'biweight' 'cosine' 'cosine2' 'epanechnikov' 'gaussian' 'triangular' 'triweight' 'uniform'
float, optional (default: 1)
An adjustment factor for the
bw. Bandwidth becomes
bw * adjust.
Adjustment of the bandwidth.
This parameter only matters if you are displaying multiple
densities in one plot. If
False, the default, each
density is computed on the full range of the data. If
True, each density is computed over the range of that
group; this typically means the estimated x values will not
line-up, and hence you won't be able to stack density values.
int, optional(default: 1024)
Number of equally spaced points at which the density is to be estimated. For efficient computation, it should be a power of two.
float, optional (default: 'nrd0')
The bandwidth to use, If a float is given, it is the bandwidth.
str choices are:
'normal_reference' 'scott' 'silverman'
nrd0 is a port of
stats::bw.nrd0 in R; it is eqiuvalent
silverman when there is more than 1 value in a group.
How to scale the violins. The options are:
'area' # all violins have the same area, before # trimming the tails. 'count' # areas are scaled proportionally to the number # of observations. 'width' # all violins have the same maximum width.