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| author | Daniel <dabi@blazemail.com> | 2015-12-23 18:45:38 +0100 |
|---|---|---|
| committer | Daniel <dabi@blazemail.com> | 2015-12-23 18:45:38 +0100 |
| commit | e5d61d6f946ef75b822d937b801a02f64736e53f (patch) | |
| tree | ba3922b0eea62f8b3d74b7d8ccd02a608b460394 | |
| parent | d05b94544a060e8197bb3f8c2955cd8aedfacfff (diff) | |
| download | python-numpy-e5d61d6f946ef75b822d937b801a02f64736e53f.tar.gz python-numpy-e5d61d6f946ef75b822d937b801a02f64736e53f.tar.bz2 python-numpy-e5d61d6f946ef75b822d937b801a02f64736e53f.zip | |
typo corrrected.
| -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 fe17c133e..1135c1395 100644 --- a/numpy/doc/structured_arrays.py +++ b/numpy/doc/structured_arrays.py @@ -27,7 +27,7 @@ position we get the second structure: :: Conveniently, one can access any field of the array by indexing using the string that names that field. :: - >>> y = x['foo'] + >>> y = x['bar'] >>> y array([ 2., 3.], dtype=float32) >>> y[:] = 2*y |