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# matplotlib.axes.Axes.stackplot

`Axes.``stackplot`(x, *args, data=None, **kwargs)

  Draws a stacked area plot.

  x : 1d array of dimension N

  y : 2d array of dimension MxN, OR any number 1d arrays each of 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

  Keyword arguments:

  baseline : [‘zero’, ‘sym’, ‘wiggle’, ‘weighted_wiggle’]
    Method used to calculate the baseline. ‘zero’ is just a simple stacked plot. ‘sym’ is 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 : A list or tuple of labels to assign to each data series.

  colors : A list or tuple of colors. These will be cycled through and
    used to colour the stacked areas. All other keyword arguments are passed to `fill_between()`

  Returns r : A list of `PolyCollection`, one for each element in the stacked area plot.