8000 BUG/DOC/MAINT: Tidy up histogramdd by eric-wieser · Pull Request #10802 · numpy/numpy · GitHub
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BUG/DOC/MAINT: Tidy up histogramdd #10802

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Merged
merged 7 commits into from
Apr 7, 2018
Merged

BUG/DOC/MAINT: Tidy up histogramdd #10802

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88a564e
MAINT: Make np.histogramdd error messages consistent with np.histogram
eric-wieser Mar 26, 2018
89b402a
MAINT: Unify computation of `nbin[i]`
eric-wieser Mar 26, 2018
52a739e
MAINT: Only check bin monotonicity if not using linspace
eric-wieser Mar 26, 2018
fd92d02
MAINT: Give a more useful error messages for bins of an incorrect dim…
eric-wieser Mar 26, 2018
992163e
MAINT/ENH: Reuse range computation code from np.histogram in np.histo…
eric-wieser Mar 26, 2018
79e482a
DOC: Document the surprising behaviour of np.histogramdd on array_likes
eric-wieser Mar 26, 2018
c8a5f56
BUG: Use intp for indices
eric-wieser Mar 26, 2018
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BUG: Use intp for indices 
Fixes gh-8531
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@eric-wieser
eric-wieser committed Apr 6, 2018
commit c8a5f560f1eedd510ca5656b06dd1ca2ba9322bd
2 changes: 1 addition & 1 deletion numpy/lib/histograms.py
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Expand Up @@ -927,7 +927,7 @@ def histogramdd(sample, bins=10, range=None, normed=False, weights=None):

# Compute the sample indices in the flattened histogram matrix.
ni = nbin.argsort()
xy = np.zeros(N, int)
xy = np.zeros(N, np.intp)
for i in np.arange(0, D-1):
xy += Ncount[ni[i]] * nbin[ni[i+1:]].prod()
xy += Ncount[ni[-1]]
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