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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 /numpy/doc/structured_arrays.py | |
parent | bd80585cdae1d43fabb30ae0e184c2e40deb11e6 (diff) | |
download | numpy-ac6b1a902b99e340cf7eeeeb7392c91e38db9dd8.tar.gz |
ENH: don't show boolean dtype, as it is implied
Diffstat (limited to 'numpy/doc/structured_arrays.py')
-rw-r--r-- | numpy/doc/structured_arrays.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py index 65558a5a0..02581d01b 100644 --- a/numpy/doc/structured_arrays.py +++ b/numpy/doc/structured_arrays.py @@ -480,7 +480,7 @@ the same order:: >>> a = np.zeros(2, dtype=[('a', 'i4'), ('b', 'i4')]) >>> b = np.ones(2, dtype=[('a', 'i4'), ('b', 'i4')]) >>> a == b - array([False, False], dtype=bool) + array([False, False]) Currently, if the dtypes of two void structured arrays are not equivalent the comparison fails, returning the scalar value ``False``. This behavior is |