matplotlib.container

class matplotlib.container.BarContainer(*args, **kwargs)

Bases: Container

Container for the artists of bar plots (e.g. created by Axes.bar).

The container can be treated as a tuple of the patches themselves. Additionally, you can access these and further parameters by the attributes.

Attributes:

patcheslist of Rectangle

The artists of the bars.

errorbarNone or ErrorbarContainer

A container for the error bar artists if error bars are present. None otherwise.

datavaluesNone or array-like

The underlying data values corresponding to the bars.

orientation{'vertical', 'horizontal'}, default: None

If 'vertical', the bars are assumed to be vertical. If 'horizontal', the bars are assumed to be horizontal.

class matplotlib.container.Container(*args, **kwargs)

Bases: tuple

Base class for containers.

Containers are classes that collect semantically related Artists such as the bars of a bar plot.

add_callback(func)

Add a callback function that will be called whenever one of the Artist's properties changes.

Parameters:

funccallable

The callback function. It must have the signature:

def func(artist: Artist) -> Any

where artist is the calling Artist. Return values may exist but are ignored.

Returns:

int

The observer id associated with the callback. This id can be used for removing the callback with remove_callback later.

See also

remove_callback

get_children()

get_label()

Return the label used for this artist in the legend.

pchanged()

Call all of the registered callbacks.

This function is triggered internally when a property is changed.

See also

add_callback

remove_callback

remove()

remove_callback(oid)

Remove a callback based on its observer id.

See also

add_callback

set_label(s)

Set a label that will be displayed in the legend.

Parameters:

sobject

s will be converted to a string by calling str.

class matplotlib.container.ErrorbarContainer(*args, **kwargs)

Bases: Container

Container for the artists of error bars (e.g. created by Axes.errorbar).

The container can be treated as the lines tuple itself. Additionally, you can access these and further parameters by the attributes.

Attributes:

linestuple

Tuple of (data_line, caplines, barlinecols).

• data_line : A Line2D instance of x, y plot markers and/or line.

• caplines : A tuple of Line2D instances of the error bar caps.

• barlinecols : A tuple of LineCollection with the horizontal and vertical error ranges.

has_xerr, has_yerrbool

True if the errorbar has x/y errors.

class matplotlib.container.StemContainer(*args, **kwargs)

Bases: Container

Container for the artists created in a Axes.stem() plot.

The container can be treated like a namedtuple (markerline, stemlines, baseline).

Attributes:

markerlineLine2D

The artist of the markers at the stem heads.

stemlinesLineCollection

The artists of the vertical lines for all stems.

baselineLine2D

The artist of the horizontal baseline.

Parameters:

markerline_stemlines_baselinetuple

Tuple of (markerline, stemlines, baseline). markerline contains the Line2D of the markers, stemlines is a LineCollection of the main lines, baseline is the Line2D of the baseline.