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author | Frank Breitling <frank.breitling@gmx.de> | 2013-07-17 18:33:18 +0200 |
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committer | Frank Breitling <frank.breitling@gmx.de> | 2013-07-17 18:33:18 +0200 |
commit | fc959610520d2e510fb2211648ca256d552d8be3 (patch) | |
tree | 6660f202162bc3646aa440e5d93ee24b29e3182f /numpy/lib/twodim_base.py | |
parent | 5b10b1b38044f0a4431ee587eec186767d07fe93 (diff) | |
download | numpy-fc959610520d2e510fb2211648ca256d552d8be3.tar.gz |
Update twodim_base.py
Diffstat (limited to 'numpy/lib/twodim_base.py')
-rw-r--r-- | numpy/lib/twodim_base.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/twodim_base.py b/numpy/lib/twodim_base.py index 17d20e4df..5a329a403 100644 --- a/numpy/lib/twodim_base.py +++ b/numpy/lib/twodim_base.py @@ -547,7 +547,7 @@ def histogram2d(x, y, bins=10, range=None, normed=False, weights=None): An array of values ``w_i`` weighing each sample ``(x_i, y_i)``. Weights are normalized to 1 if `normed` is True. If `normed` is False, the values of the returned histogram are equal to the sum of the weights -l belonging to the samples falling into each bin. + belonging to the samples falling into each bin. Returns ------- |