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Diffstat (limited to 'numpy/doc/indexing.py')
| -rw-r--r-- | numpy/doc/indexing.py | 17 |
1 files changed, 13 insertions, 4 deletions
diff --git a/numpy/doc/indexing.py b/numpy/doc/indexing.py index 6b15a7a9e..c7dda2790 100644 --- a/numpy/doc/indexing.py +++ b/numpy/doc/indexing.py @@ -285,14 +285,23 @@ Combining index arrays with slices Index arrays may be combined with slices. For example: :: - >>> y[np.array([0,2,4]),1:3] + >>> y[np.array([0, 2, 4]), 1:3] array([[ 1, 2], [15, 16], [29, 30]]) -In effect, the slice is converted to an index array -np.array([[1,2]]) (shape (1,2)) that is broadcast with the index array -to produce a resultant array of shape (3,2). +In effect, the slice and index array operation are independent. +The slice operation extracts columns with index 1 and 2, +(i.e. the 2nd and 3rd columns), +followed by the index array operation which extracts rows with +index 0, 2 and 4 (i.e the first, third and fifth rows). + +This is equivalent to:: + + >>> y[:, 1:3][np.array([0, 2, 4]), :] + array([[ 1, 2], + [15, 16], + [29, 30]]) Likewise, slicing can be combined with broadcasted boolean indices: :: |