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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2022-09-26 12:48:20 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-09-26 12:48:20 +0200 |
| commit | 664a9f5cad40e958c73d2bc78f9bcd5bd5f818e6 (patch) | |
| tree | b288c4f956b8c0156178f4d1dcb5c34cf8b6bdac /numpy/lib | |
| parent | c27bb662aa75be518f173b24e0f647248310d0ce (diff) | |
| parent | 426741722874395d6bb46c562a0651954a008a0d (diff) | |
| download | numpy-664a9f5cad40e958c73d2bc78f9bcd5bd5f818e6.tar.gz | |
Merge pull request #22280 from xilin22/histogramdd-doc-update
DOC: updated the description for array-like type in histogramdd (#19823)
Diffstat (limited to 'numpy/lib')
| -rw-r--r-- | numpy/lib/histograms.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index f7feb2531..704f69dce 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -903,7 +903,7 @@ def histogramdd(sample, bins=10, range=None, density=None, weights=None): Parameters ---------- - sample : (N, D) array, or (D, N) array_like + sample : (N, D) array, or (N, D) array_like The data to be histogrammed. Note the unusual interpretation of sample when an array_like: |