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author | Eric Wieser <wieser.eric@gmail.com> | 2017-11-13 23:45:45 -0800 |
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committer | Eric Wieser <wieser.eric@gmail.com> | 2017-11-13 23:45:45 -0800 |
commit | ac6b1a902b99e340cf7eeeeb7392c91e38db9dd8 (patch) | |
tree | 589c9f85e52a75a16ed949c14bfa39777e651fc4 /doc/source/user | |
parent | bd80585cdae1d43fabb30ae0e184c2e40deb11e6 (diff) | |
download | numpy-ac6b1a902b99e340cf7eeeeb7392c91e38db9dd8.tar.gz |
ENH: don't show boolean dtype, as it is implied
Diffstat (limited to 'doc/source/user')
-rw-r--r-- | doc/source/user/quickstart.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst index 4a10faae8..67f45a50f 100644 --- a/doc/source/user/quickstart.rst +++ b/doc/source/user/quickstart.rst @@ -293,7 +293,7 @@ created and filled with the result. >>> 10*np.sin(a) array([ 9.12945251, -9.88031624, 7.4511316 , -2.62374854]) >>> a<35 - array([ True, True, False, False], dtype=bool) + array([ True, True, False, False]) Unlike in many matrix languages, the product operator ``*`` operates elementwise in NumPy arrays. The matrix product can be performed using @@ -1176,7 +1176,7 @@ boolean arrays that have *the same shape* as the original array:: >>> b # b is a boolean with a's shape array([[False, False, False, False], [False, True, True, True], - [ True, True, True, True]], dtype=bool) + [ True, True, True, True]]) >>> a[b] # 1d array with the selected elements array([ 5, 6, 7, 8, 9, 10, 11]) |