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| author | John Law <johnlaw.po@gmail.com> | 2019-05-27 09:17:39 +0800 |
|---|---|---|
| committer | John Law <johnlaw.po@gmail.com> | 2019-05-27 09:17:39 +0800 |
| commit | 586234d66c76c870071ad55ddb22bf39e9c647fb (patch) | |
| tree | 84659092ccc0fcadb6ec993cf4d7389d6d0aa735 /numpy/core/numeric.py | |
| parent | 849e4d429951ad93691e6149d070b9d31536cc12 (diff) | |
| download | numpy-586234d66c76c870071ad55ddb22bf39e9c647fb.tar.gz | |
DOC: Add return section to linalg.matrix_rank & tensordot
This patch adds two return sections to them. Also one or two minor formatting issues are resolved.
Addresses #13630.
Diffstat (limited to 'numpy/core/numeric.py')
| -rw-r--r-- | numpy/core/numeric.py | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 0eee8d10e..ea2ef900e 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -934,6 +934,11 @@ def tensordot(a, b, axes=2): Or, a list of axes to be summed over, first sequence applying to `a`, second to `b`. Both elements array_like must be of the same length. + Returns + ------- + output : ndarray + The tensor dot product of the input. + See Also -------- dot, einsum |