plotnine.stat_summary
stat_summary(=None,
mapping=None,
data*,
="pointrange",
geom="identity",
position=False,
na_rm="mean_cl_boot",
fun_data=None,
fun_y=None,
fun_ymin=None,
fun_ymax=None,
fun_args=None,
random_state**kwargs
)
Calculate summary statistics depending on x
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 x y The bold aesthetics are required.
Options for computed aesthetics
"ymin" # ymin computed by the summary function "ymax" # ymax computed by the summary function "n" # Number of observations at a position
Calculated aesthetics are accessed using the
after_stat
function. e.g.after_stat('ymin')
. 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 = "pointrange"

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. fun_data : str  callable = "mean_cl_boot"

If string, it should be one of:
# Bootstrapped mean, confidence interval # Arguments: # n_samples  No. of samples to draw # confidence_interval # random_state "mean_cl_boot" # Mean, C.I. assuming normal distribution # Arguments: # confidence_interval "mean_cl_normal" # Mean, standard deviation * constant # Arguments: # mult  multiplication factor "mean_sdl" # Median, outlier quantiles with equal tail areas # Arguments: # confidence_interval "median_hilow" # Mean, Standard Errors * constant # Arguments: # mult  multiplication factor "mean_se"
or any function that takes a array and returns a dataframe with three columns named
y
,ymin
andymax
. fun_y : callable = None

Any function that takes a array_like and returns a value
fun_ymin : callable = None

Any function that takes an array_like and returns a value
fun_ymax : callable = None

Any function that takes an array_like and returns a value
fun_args : dict = None

Arguments to any of the functions. Provided the names of the arguments of the different functions are in not conflict, the arguments will be assigned to the right functions. If there is a conflict, create a wrapper function that resolves the ambiguity in the argument names.
random_state : int  RandomState = None

Seed or Random number generator to use. If
None
, then numpy global generatornumpy.random
is used. **kwargs : Any = {}

Aesthetics or parameters used by the
geom
.
Notes
If any of fun_y
, fun_ymin
or fun_ymax
are provided, the value of fun_data
will be ignored.