Version 2.2.2
matplotlib
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matplotlib.axes.Axes.stackplot

Axes.stackplot(x, *args, data=None, **kwargs)[source]

Draws 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 of `.PolyCollection`

A list of PolyCollection instances, one for each element in the stacked area plot.