matplotlib.container
¶
-
class
matplotlib.container.
BarContainer
(*args, **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: - 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.
- patcheslist of
-
class
matplotlib.container.
Container
(*args, **kwargs)[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: - 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
-
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
-
remove_callback
(oid)¶ Remove a callback based on its observer id.
See also
-
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)[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: - linestuple
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.
- data_line :
- has_xerr, has_yerrbool
True
if the errorbar has x/y errors.
-
class
matplotlib.container.
StemContainer
(*args, **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: Parameters: - markerline_stemlines_baselinetuple
Tuple of
(markerline, stemlines, baseline)
.markerline
contains theLineCollection
of the markers,stemlines
is aLineCollection
of the main lines,baseline
is theLine2D
of the baseline.