matplotlib.container   classmatplotlib.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.  
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.     
   classmatplotlib.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)[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_callback later.      See also  remove_callback
  
   get_children()[source]

   get_label()[source]
 
Return the label used for this artist in the legend. 
   pchanged()[source]
 
Call all of the registered callbacks. This function is triggered internally when a property is changed.  See also  add_callback
remove_callback
  
   remove()[source]

   remove_callback(oid)[source]
 
Remove a callback based on its observer id.  See also  add_callback
  
   set_label(s)[source]
 
Set a label that will be displayed in the legend.  Parameters 
 
sobject


s will be converted to a string by calling str.     
 
   classmatplotlib.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.   
has_xerr, has_yerrbool


True if the errorbar has x/y errors.     
   classmatplotlib.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 
 
markerlineLine2D


The artist of the markers at the stem heads.  
stemlineslist of Line2D


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 LineCollection of the markers, stemlines is a LineCollection of the main lines, baseline is the Line2D of the baseline.