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authorXinRu Lin <xinrulin99@gmail.com>2022-09-16 18:56:46 +0000
committerXinRu Lin <xinrulin99@gmail.com>2022-09-16 18:56:46 +0000
commit426741722874395d6bb46c562a0651954a008a0d (patch)
treeb90a9999f233bd5d85c72e9532f6b293782d513f /numpy/lib/histograms.py
parent5f94eb858f3e181eccfda2c26db9f0b9167a8156 (diff)
downloadnumpy-426741722874395d6bb46c562a0651954a008a0d.tar.gz
DOC: updated the description for array-like type in histogramdd
Diffstat (limited to 'numpy/lib/histograms.py')
-rw-r--r--numpy/lib/histograms.py2
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: