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author | Melissa Weber Mendonça <melissawm@gmail.com> | 2020-01-24 10:43:24 -0300 |
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committer | GitHub <noreply@github.com> | 2020-01-24 10:43:24 -0300 |
commit | c391b32a523749aa7cd019a2888ac4ce4ab8d0dc (patch) | |
tree | 8a1be3a3df2388e312cfc40b6d06602d4f079eca /doc/source | |
parent | a900530f03f08ec82de62fef1025140b16953bea (diff) | |
download | numpy-c391b32a523749aa7cd019a2888ac4ce4ab8d0dc.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 0ca1e7dfe..8291ec7e5 100644 --- a/doc/source/user/tutorial-svd.rst +++ b/doc/source/user/tutorial-svd.rst @@ -385,7 +385,7 @@ and >>> plt.imshow(np.transpose(reconstructed, (1, 2, 0))) should give you an image indistinguishable from the original one (although we -do possibly introduce floating point errors for this reconstruction; in fact, it +may introduce floating point errors for this reconstruction. In fact, is possible that you see a warning message saying "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers)." This is expected from the manipulation we just did on the original |