plotnine.stat_qq
stat_qq(=None,
mapping=None,
data*,
="qq",
geom="identity",
position=False,
na_rm="norm",
distribution={},
dparams=None,
quantiles=(0.375, 0.375),
alpha_beta**kwargs
)
Calculation for quantilequantile plot
Parameters
mapping : aes = None

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 sample x after_stat('theoretical')
y after_stat('sample')
The bold aesthetics are required.
Options for computed aesthetics
'theoretical' # theoretical quantiles 'sample' # sample quantiles
data : DataFrame = None

The data to be displayed in this layer. If
None
, the data from from theggplot()
call is used. If specified, it overrides the data from theggplot()
call. geom : str  geom = "qq"

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  position = "identity"

Position adjustment. If it is a string, it must be registered and known to Plotnine.
na_rm : bool = False

If
False
, removes missing values with a warning. IfTrue
silently removes missing values. distribution : str = "norm"

Distribution or distribution function name. The default is norm for a normal probability plot. Objects that look enough like a stats.distributions instance (i.e. they have a ppf method) are also accepted. See scipy stats for available distributions.
dparams : dict = None

Distributionspecific shape parameters (shape parameters plus location and scale).
quantiles : array_like = None

Probability points at which to calculate the theoretical quantile values. If provided, must be the same number as as the sample data points. The default is to use calculated theoretical points, use to
alpha_beta
control how these points are generated. alpha_beta : tuple = (3/8, 3/8)

Parameter values to use when calculating the quantiles.
**kwargs : Any = {}

Aesthetics or parameters used by the
geom
.
See Also
plotting_positions

Uses
alpha_beta
to calculate the quantiles.