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| author | Eric Wieser <wieser.eric@gmail.com> | 2018-04-08 14:13:12 -0700 |
|---|---|---|
| committer | Eric Wieser <wieser.eric@gmail.com> | 2018-04-08 15:01:27 -0700 |
| commit | ad53a1fa29ae1da089213dadb5734714ed0d7e76 (patch) | |
| tree | 07fc9b9305c935159cebcb0efee1a21e2115512a /numpy/lib/histograms.py | |
| parent | 4a178b2f21fbf55786c3cfe6c247d91cfb4155b2 (diff) | |
| download | numpy-ad53a1fa29ae1da089213dadb5734714ed0d7e76.tar.gz | |
MAINT: Remove dead code.
len(xy) == N, and we already checked if N == 0 above.
Diffstat (limited to 'numpy/lib/histograms.py')
| -rw-r--r-- | numpy/lib/histograms.py | 3 |
1 files changed, 0 insertions, 3 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index 536dc9be7..ed38ef851 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -932,9 +932,6 @@ def histogramdd(sample, bins=10, range=None, normed=False, weights=None): # Compute the number of repetitions in xy and assign it to the # flattened histmat. - if len(xy) == 0: - return np.zeros(nbin-2, int), edges - flatcount = np.bincount(xy, weights) a = np.arange(len(flatcount)) hist[a] = flatcount |