Module « matplotlib.pyplot »
Signature de la fonction stackplot
def stackplot(x, *args, labels=(), colors=None, baseline='zero', data=None, **kwargs)
Description
stackplot.__doc__
Draw a stacked area plot.
Parameters
----------
x : (N,) array-like
y : (M, N) array-like
The data is assumed to be unstacked. Each of the following
calls is legal::
stackplot(x, y) # where y has shape (M, N)
stackplot(x, y1, y2, y3) # where y1, y2, y3, y4 have length N
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 : list of str, optional
A sequence of labels to assign to each data series. If unspecified,
then no labels will be applied to artists.
colors : list of color, optional
A sequence of colors to be cycled through and used to color the stacked
areas. The sequence need not be exactly the same length as the number
of provided *y*, in which case the colors will repeat from the
beginning.
If not specified, the colors from the Axes property cycle will be used.
**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.
Notes
-----
.. note::
In addition to the above described arguments, this function can take
a *data* keyword argument. If such a *data* argument is given,
every other argument can also be string ``s``, which is
interpreted as ``data[s]`` (unless this raises an exception).
Objects passed as **data** must support item access (``data[s]``) and
membership test (``s in data``).
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