plotnine.stat_boxplot

Compute boxplot statistics

stat_boxplot(
    mapping=None,
    data=None,
    *,
    geom="boxplot",
    position="dodge",
    na_rm=False,
    coef=1.5,
    width=None,
    **kwargs
)

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

"width"  # width of boxplot
"lower"  # lower hinge, 25% quantile
"middle" # median, 50% quantile
"upper"  # upper hinge, 75% quantile

# lower edge of notch, computed as;
# median - 1.58 * IQR / sqrt(n)
"notchlower"

# upper edge of notch, computed as;
# median + 1.58 * IQR / sqrt(n)
"notchupper"

# lower whisker, computed as; smallest observation
# greater than or equal to lower hinge - 1.5 * IQR
"ymin"

# upper whisker, computed as; largest observation
# less than or equal to upper hinge + 1.5 * IQR
"ymax"

'n'     # Number of observations at a position

Calculated aesthetics are accessed using the after_stat function. e.g. after_stat('width').

data : DataFrame = None

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 ggplot() call.

geom : str | geom = "boxplot"

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 = "dodge"

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. If True silently removes missing values.

coef : float = 1.5

Length of the whiskers as a multiple of the Interquartile Range.

**kwargs : Any

Aesthetics or parameters used by the geom.

Parameters

See Also