matplotlib.pyplot.stackplot
- 
matplotlib.pyplot.stackplot(x, *args, data=None, **kwargs)[source] - 
Draw a stacked area plot.
Parameters: - 
x : 1d array of dimension N - 
y : 2d array (dimension MxN), or sequence of 1d arrays (each dimension 1xN) - 
The data is assumed to be unstacked. Each of the following calls is legal:
stackplot(x, y) # where y is MxN stackplot(x, y1, y2, y3, y4) # where y1, y2, y3, y4, are all 1xNm
 - 
baseline : {'zero', 'sym', 'wiggle', 'weighted_wiggle'} - 
Method used to calculate the baseline:
- 
'zero': Constant zero baseline, i.e. a simple stacked plot. - 
'sym': Symmetric around zero and is sometimes called 'ThemeRiver'. - 
'wiggle': Minimizes the sum of the squared slopes. - 
'weighted_wiggle': Does the same but weights to account for size of each layer. It is also called 'Streamgraph'-layout. More details can be found at http://leebyron.com/streamgraph/. 
 - 
 - 
labels : Length N sequence of strings - 
Labels to assign to each data series.
 - 
colors : Length N sequence of colors - 
A list or tuple of colors. These will be cycled through and used to colour the stacked areas.
 - **kwargs :
 - 
All other keyword arguments are passed to
Axes.fill_between(). 
Returns: - 
list : list of PolyCollection - 
A list of
PolyCollectioninstances, one for each element in the stacked area plot. 
 - 
 
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Licensed under the Matplotlib License Agreement.
    https://matplotlib.org/3.0.0/api/_as_gen/matplotlib.pyplot.stackplot.html