/usr/share/pyshared/matplotlib/stackplot.py is in python-matplotlib 1.3.1-1ubuntu5.
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Stacked area plot for 1D arrays inspired by Douglas Y'barbo's stackoverflow
answer:
http://stackoverflow.com/questions/2225995/how-can-i-create-stacked-line-graph-with-matplotlib
(http://stackoverflow.com/users/66549/doug)
"""
import numpy as np
__all__ = ['stackplot']
def stackplot(axes, x, *args, **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://www.leebyron.com/else/streamgraph/.
*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
:func:`~matplotlib.Axes.fill_between`
Returns *r* : A list of
:class:`~matplotlib.collections.PolyCollection`, one for each
element in the stacked area plot.
Note that :class:`~matplotlib.legend.Legend` does not support
:class:`~matplotlib.collections.PolyCollection` objects. To create a
legend on a stackplot, use a proxy artist:
http://matplotlib.org/users/legend_guide.html#using-proxy-artist
"""
if len(args) == 1:
y = np.atleast_2d(*args)
elif len(args) > 1:
y = np.row_stack(args)
colors = kwargs.pop('colors', None)
if colors is not None:
axes.set_color_cycle(colors)
baseline = kwargs.pop('baseline', 'zero')
# Assume data passed has not been 'stacked', so stack it here.
stack = np.cumsum(y, axis=0)
r = []
if baseline == 'zero':
first_line = 0.
elif baseline == 'sym':
first_line = -np.sum(y, 0) * 0.5
stack += first_line[None, :]
elif baseline == 'wiggle':
m = y.shape[0]
first_line = (y * (m - 0.5 - np.arange(0, m)[:, None])).sum(0)
first_line /= -m
stack += first_line
elif baseline == 'weighted_wiggle':
m, n = y.shape
center = np.zeros(n)
total = np.sum(y, 0)
increase = np.hstack((y[:, 0:1], np.diff(y)))
below_size = total - stack
below_size += 0.5 * y
move_up = below_size / total
move_up[:, 0] = 0.5
center = (move_up - 0.5) * increase
center = np.cumsum(center.sum(0))
first_line = center - 0.5 * total
stack += first_line
else:
errstr = "Baseline method %s not recognised. " % baseline
errstr += "Expected 'zero', 'sym', 'wiggle' or 'weighted_wiggle'"
raise ValueError(errstr)
# Color between x = 0 and the first array.
r.append(axes.fill_between(x, first_line, stack[0, :],
facecolor=axes._get_lines.color_cycle.next(),
**kwargs))
# Color between array i-1 and array i
for i in xrange(len(y) - 1):
color = axes._get_lines.color_cycle.next()
r.append(axes.fill_between(x, stack[i, :], stack[i + 1, :],
facecolor= color,
**kwargs))
return r
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