plotnine.stat_summary_bin

stat_summary_bin(
    mapping=None,
    data=None,
    *,
    geom="pointrange",
    position="identity",
    na_rm=False,
    bins=30,
    breaks=None,
    binwidth=None,
    boundary=None,
    fun_data=None,
    fun_y=None,
    fun_ymin=None,
    fun_ymax=None,
    fun_args=None,
    random_state=None,
    **kwargs
)

Summarise y values at x intervals

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

"bin"    # bin identifier
"width"  # bin width
"ymin"   # ymin computed by the summary function
"ymax"   # ymax computed by the summary function

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 the ggplot() call is used. If specified, it overrides the data from the ggplot() 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. If True silently removes missing values.

binwidth : float | tuple = None

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.

bins : int | tuple = 30

Number of bins. Overridden by binwidth.

breaks : array_like | tuple[array_like, array_like] = None

Bin boundaries. This supercedes the binwidth, bins and boundary arguments.

boundary : float | tuple = None

A boundary between two bins. As with center, things are shifted when boundary is outside the range of the data. For example, to center on integers, use width=1 and boundary=0.5, even if 1 is outside the range of the data. At most one of center and boundary may be specified.

fun_data : str | callable = "mean_se"

If a string, should be one of mean_cl_boot, mean_cl_normal, mean_sdl, median_hilow, mean_se. If a function, it should that takes an array and return a dataframe with three rows indexed as y, ymin and ymax.

fun_y : callable = None

A function that takes an array_like and returns a single value

fun_ymax : callable = None

A function that takes an array_like and returns a single 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 generator numpy.random is used.

**kwargs : Any = {}

Aesthetics or parameters used by the geom.

Notes

The binwidth, bins, breaks and bounary arguments can be a tuples with two values (xaxis-value, yaxis-value) of the required type.

Parameters

Notes

See Also