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| author | Allan Haldane <allan.haldane@gmail.com> | 2018-12-15 11:46:22 -0500 |
|---|---|---|
| committer | Allan Haldane <allan.haldane@gmail.com> | 2018-12-15 11:47:03 -0500 |
| commit | 2981ed622501ac48c54c4efdf06a84084b70ff66 (patch) | |
| tree | 2f4cea4c0abdcb1704d56d7746232138af057e81 /numpy/doc/structured_arrays.py | |
| parent | e26c2990c4828d6f7f2f588d75cd01eecafd53f3 (diff) | |
| download | numpy-2981ed622501ac48c54c4efdf06a84084b70ff66.tar.gz | |
DOC: more doc updates for structured arrays
[ci skip]
Diffstat (limited to 'numpy/doc/structured_arrays.py')
| -rw-r--r-- | numpy/doc/structured_arrays.py | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py index 0fcdecf00..e92a06124 100644 --- a/numpy/doc/structured_arrays.py +++ b/numpy/doc/structured_arrays.py @@ -397,6 +397,15 @@ typically a non-structured array, except in the case of nested structures. >>> y.dtype, y.shape, y.strides (dtype('float32'), (2,), (12,)) +If the accessed field is a subarray, the dimensions of the subarray +are appended to the shape of the result:: + + >>> x = np.zeros((2,2), dtype=[('a', np.int32), ('b', np.float64, (3,3))]) + >>> x['a'].shape + (2, 2) + >>> x['b'].shape + (2, 2, 3, 3) + Accessing Multiple Fields ``````````````````````````` |