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author | Melissa Weber Mendonça <melissawm@gmail.com> | 2020-01-24 10:41:52 -0300 |
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committer | GitHub <noreply@github.com> | 2020-01-24 10:41:52 -0300 |
commit | d8c2abb1636bc6901c6f57d0d816bb0bddf3c2ed (patch) | |
tree | 3fc2659a5b5e1b603482fad347def0b8b2296560 /doc | |
parent | 87efbeebc62607c5ae8585e6532cedeabf587920 (diff) | |
download | numpy-d8c2abb1636bc6901c6f57d0d816bb0bddf3c2ed.tar.gz |
Update doc/source/user/tutorial-svd.rst
Co-Authored-By: Anne Bonner <35413198+bonn0062@users.noreply.github.com>
Diffstat (limited to 'doc')
-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 a87cf4937..0a87891b0 100644 --- a/doc/source/user/tutorial-svd.rst +++ b/doc/source/user/tutorial-svd.rst @@ -287,7 +287,7 @@ the colormap ``Blues``:: >>> plt.imshow(approx_blue, cmap=plt.cm.Blues) Now, you can go ahead and repeat this experiment with other values of `k`, and -each of those should give you a slightly better (or worse) image depending on +each of your experiments should give you a slightly better (or worse) image depending on the value you choose. Just for good measure, to see how the original blue array looks like, you can |