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authorEric Wieser <wieser.eric@gmail.com>2018-03-26 00:18:37 -0700
committerEric Wieser <wieser.eric@gmail.com>2018-03-26 00:50:39 -0700
commit89b402a9dab57c45eca0f942bde699ee6961a1f5 (patch)
treee23414e19e825606442cbb3d403d952c4fb16c52 /numpy/lib/histograms.py
parent88a564e81ba3b4eba7e1cd864e2ef68a39b572d1 (diff)
downloadnumpy-89b402a9dab57c45eca0f942bde699ee6961a1f5.tar.gz
MAINT: Unify computation of `nbin[i]`
Diffstat (limited to 'numpy/lib/histograms.py')
-rw-r--r--numpy/lib/histograms.py5
1 files changed, 2 insertions, 3 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py
index c17683c7c..50bafec8c 100644
--- a/numpy/lib/histograms.py
+++ b/numpy/lib/histograms.py
@@ -885,11 +885,10 @@ def histogramdd(sample, bins=10, range=None, normed=False, weights=None):
if bins[i] < 1:
raise ValueError(
'`bins[{}]` must be positive, when an integer'.format(i))
- nbin[i] = bins[i] + 2 # +2 for outlier bins
- edges[i] = np.linspace(smin[i], smax[i], nbin[i]-1, dtype=edge_dt)
+ edges[i] = np.linspace(smin[i], smax[i], bins[i] + 1, dtype=edge_dt)
else:
edges[i] = np.asarray(bins[i], edge_dt)
- nbin[i] = len(edges[i]) + 1 # +1 for outlier bins
+ nbin[i] = len(edges[i]) + 1 # includes an outlier on each end
dedges[i] = np.diff(edges[i])
# not just monotonic, due to the use of mindiff below
if np.any(np.asarray(dedges[i]) <= 0):