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author | Melissa Weber Mendonça <melissawm@gmail.com> | 2020-01-24 10:42:51 -0300 |
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committer | GitHub <noreply@github.com> | 2020-01-24 10:42:51 -0300 |
commit | f5a644d4d3c9276e0e428ab8897640b3d9ef996c (patch) | |
tree | bcb2553705c982165ee9d16a0d0ba58d9ab8a6af /doc/source | |
parent | c53bd9b4eb0577e7e560cb5c20b4267ab77ffac5 (diff) | |
download | numpy-f5a644d4d3c9276e0e428ab8897640b3d9ef996c.tar.gz |
Update doc/source/user/tutorial-svd.rst
Co-Authored-By: Anne Bonner <35413198+bonn0062@users.noreply.github.com>
Diffstat (limited to 'doc/source')
-rw-r--r-- | doc/source/user/tutorial-svd.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/tutorial-svd.rst b/doc/source/user/tutorial-svd.rst index f77064617..306213c39 100644 --- a/doc/source/user/tutorial-svd.rst +++ b/doc/source/user/tutorial-svd.rst @@ -316,7 +316,7 @@ In our case, >>> img_array.shape (768, 1024, 3) -so we need to permutate the axis on this array to make get a shape like +so we need to permutate the axis on this array to get a shape like ``(3, 768, 1024)``. Fortunately, the `numpy.transpose` function can do that for us: |