matplotlib.pyplot.stackplot

matplotlib.pyplot.stackplot(x, \*args, labels=(), colors=None, baseline='zero', data=None, \*\*kwargs)

Draw a stacked area plot.

Parameters:

x1d array of dimension N

y2d 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/.

labelsLength N sequence of strings

Labels to assign to each data series.

colorsLength 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:

listlist of PolyCollection

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

Notes

Note

In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]:

• All positional and all keyword arguments.

Objects passed as data must support item access (data[<arg>]) and membership test (<arg> in data).