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| author | Eric Wieser <wieser.eric@gmail.com> | 2018-04-08 22:59:32 -0700 |
|---|---|---|
| committer | Eric Wieser <wieser.eric@gmail.com> | 2018-04-10 00:06:53 -0700 |
| commit | b274299278c2fc4b534a2af0933dc2d122135eee (patch) | |
| tree | 66b7d9401b058612934b261080418f2cfdaf62b9 | |
| parent | 918a167c30a7e19f0c0061f5e09e7637b1e04591 (diff) | |
| download | numpy-b274299278c2fc4b534a2af0933dc2d122135eee.tar.gz | |
MAINT: Remove unnecessary special case for N == 0
| -rw-r--r-- | numpy/lib/histograms.py | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index d2a398a0a..90e19769e 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -911,10 +911,6 @@ def histogramdd(sample, bins=10, range=None, normed=False, weights=None): nbin[i] = len(edges[i]) + 1 # includes an outlier on each end dedges[i] = np.diff(edges[i]) - # Handle empty input. - if N == 0: - return np.zeros(nbin-2), edges - # Compute the bin number each sample falls into. Ncount = tuple( np.digitize(sample[:, i], edges[i]) |