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| author | Simon Gibbons <simongibbons@gmail.com> | 2016-02-25 11:52:16 +0000 |
|---|---|---|
| committer | Simon Gibbons <simongibbons@gmail.com> | 2016-02-25 11:52:16 +0000 |
| commit | bdcb221caa1bf2c5d07f4574a6bf22dc7f305827 (patch) | |
| tree | 2bfc3dcd066cf4272b75169a5e6ffbb2489a73c2 /numpy/core/numeric.py | |
| parent | 077b0ebfe87b2c541f5b76ea3f65298ae39c8f62 (diff) | |
| download | numpy-bdcb221caa1bf2c5d07f4574a6bf22dc7f305827.tar.gz | |
DOC: Fixed math rendering in tensordot docs.
Fixes #7339
Diffstat (limited to 'numpy/core/numeric.py')
| -rw-r--r-- | numpy/core/numeric.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index a672fdc53..9ddc3c546 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -1180,9 +1180,9 @@ def tensordot(a, b, axes=2): Notes ----- Three common use cases are: - ``axes = 0`` : tensor product $a\otimes b$ - ``axes = 1`` : tensor dot product $a\cdot b$ - ``axes = 2`` : (default) tensor double contraction $a:b$ + * ``axes = 0`` : tensor product :math:`a\otimes b` + * ``axes = 1`` : tensor dot product :math:`a\cdot b` + * ``axes = 2`` : (default) tensor double contraction :math:`a:b` When `axes` is integer_like, the sequence for evaluation will be: first the -Nth axis in `a` and 0th axis in `b`, and the -1th axis in `a` and |