Hi,
I attach a trivial patch to pass a weight argument through hist() to
histogram().
Cheers,
Olle
--- axes.py (revision 6329)
+++ axes.py (working copy)
@@ -6221,13 +6221,13 @@
def hist(self, x, bins=10, range=None, normed=False, cumulative=False,
bottom=None, histtype='bar', align='mid',
- orientation='vertical', rwidth=None, log=False, **kwargs):
+ orientation='vertical', rwidth=None, log=False, weights=None, **kwargs):
"""
call signature::
hist(x, bins=10, range=None, normed=False, cumulative=False,
bottom=None, histtype='bar', align='mid',
- orientation='vertical', rwidth=None, log=False, **kwargs)
+ orientation='vertical', rwidth=None, log=False, weights=None, **kwargs)
Compute the histogram of *x*. The return value is a tuple
(*n*, *bins*, *patches*) or ([*n0*, *n1*, ...], *bins*,
@@ -6311,6 +6311,13 @@
be filtered out and only the non-empty (*n*, *bins*,
*patches*) will be returned.
+ *weights*: array
+ An array of weights, the same shape as x. If normed is False,
+ the histogram is computed by summing the weights of the values
+ falling into each bin. If normed is True, the weights are
+ normalized, so that the integral of the density over the range
+ is 1.
+
kwargs are used to update the properties of the hist
:class:`~matplotlib.patches.Rectangle` instances:
@@ -6355,7 +6362,7 @@
# this will automatically overwrite bins,
# so that each histogram uses the same bins
m, bins = np.histogram(x[i], bins, range=range,
- normed=bool(normed), new=True)
+ normed=bool(normed), weights=weights, new=True)
n.append(m)
if cumulative:
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