matplotlib.container#
- class matplotlib.container.BarContainer(*args, **kwargs)[source]#
Bases:
ContainerContainer 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.
- patcheslist of
- property bottoms#
Return the values at the lower end of the bars.
Added in version 3.11.
- property position_centers#
Return the centers of bar positions.
Added in version 3.11.
- property tops#
Return the values at the upper end of the bars.
Added in version 3.11.
- class matplotlib.container.Container(*args, **kwargs)[source]#
Bases:
tupleBase class for containers.
Containers are classes that collect semantically related Artists such as the bars of a bar plot.
- add_callback(func)[source]#
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_callbacklater.
See also
- pchanged()[source]#
Call all of the registered callbacks.
This function is triggered internally when a property is changed.
See also
- class matplotlib.container.ErrorbarContainer(*args, **kwargs)[source]#
Bases:
ContainerContainer 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
Line2Dinstance of x, y plot markers and/or line.caplines : A tuple of
Line2Dinstances of the error bar caps.barlinecols : A tuple of
LineCollectionwith the horizontal and vertical error ranges.
- has_xerr, has_yerrbool
Trueif the errorbar has x/y errors.
- class matplotlib.container.PieContainer(wedges, values, normalize)[source]#
Bases:
objectContainer for the artists of pie charts (e.g. created by
Axes.pie).Added in version 3.11.
Warning
The class name
PieContainername is provisional and may change in future to reflect development of its functionality.You can access the wedge patches and further parameters by the attributes.
- Attributes:
- wedgeslist of
Wedge The artists of the pie wedges.
- values
numpy.ndarray The data that the pie is based on.
- fracs
numpy.ndarray The fraction of the pie that each wedge represents.
- textslist of list of
Text The artists of any labels on the pie wedges. Each inner list has one text label per wedge.
- wedgeslist of
- property fracs#
- property texts#
- property values#
- class matplotlib.container.StemContainer(*args, **kwargs)[source]#
Bases:
ContainerContainer 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
LineCollection The artists of the vertical lines for all stems.
- baseline
Line2D The artist of the horizontal baseline.
- markerline
- Parameters:
- markerline_stemlines_baselinetuple
Tuple of
(markerline, stemlines, baseline).markerlinecontains theLine2Dof the markers,stemlinesis aLineCollectionof the main lines,baselineis theLine2Dof the baseline.