matplotlib.axes.Axes.stackplot
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Axes.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
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baseline : {'zero', 'sym', 'wiggle', 'weighted_wiggle'}
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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
PolyCollection
instances, 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.axes.Axes.stackplot.html