matplotlib.axes.Axes.stackplot

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