matplotlib.container

class matplotlib.container.BarContainer(patches, errorbar=None, **kwargs)[source]

Bases: matplotlib.container.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

patches (list of Rectangle) The artists of the bars.
errorbar (None or ErrorbarContainer) A container for the error bar artists if error bars are present. None otherwise.
class matplotlib.container.Container(kl, label=None)[source]

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:

func : callable

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:

oid : 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()[source]
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.

remove()[source]
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:

s : object

s will be converted to a string by calling str.

class matplotlib.container.ErrorbarContainer(lines, has_xerr=False, has_yerr=False, **kwargs)[source]

Bases: matplotlib.container.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

lines (tuple) Tuple of (data_line, caplines, barlinecols). - data_line : Line2D instance of x, y plot markers and/or line. - caplines : tuple of Line2D instances of the error bar caps. - barlinecols : list of LineCollection with the horizontal and vertical error ranges.
has_xerr, has_yerr (bool) True if the errorbar has x/y errors.
class matplotlib.container.StemContainer(markerline_stemlines_baseline, **kwargs)[source]

Bases: matplotlib.container.Container

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

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

Attributes

markerline ( Line2D) The artist of the markers at the stem heads.
stemlines (list of Line2D) The artists of the vertical lines for all stems.
baseline (Line2D) The artist of the horizontal baseline.
Parameters:

markerline_stemlines_baseline : tuple

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