diff options
Diffstat (limited to 'numpy/doc/indexing.py')
| -rw-r--r-- | numpy/doc/indexing.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/doc/indexing.py b/numpy/doc/indexing.py index d68c86017..d3f442c21 100644 --- a/numpy/doc/indexing.py +++ b/numpy/doc/indexing.py @@ -234,12 +234,12 @@ array corresponding to all the true elements in the boolean array. As with index arrays, what is returned is a copy of the data, not a view as one gets with slices. -Multidimensional arrays may result, if y has more dimensions than b. +The result will be multidimensional if y has more dimensions than b. For example: :: - >>> b1 = b[:,5] # use a 1-D boolean whose first dim agrees with the first dim of y + >>> b[:,5] # use a 1-D boolean whose first dim agrees with the first dim of y array([False, False, False, True, True], dtype=bool) - >>> y[b1] + >>> y[b[:,5]] array([[21, 22, 23, 24, 25, 26, 27], [28, 29, 30, 31, 32, 33, 34]]) @@ -258,7 +258,7 @@ For example, using a 2-D boolean array of shape (2,3) with four True elements to select rows from a 3-D array of shape (2,3,5) results in a 2-D result of shape (4,5): :: - >>> x=np.arange(30).reshape(2,3,5) + >>> x = np.arange(30).reshape(2,3,5) >>> x array([[[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], @@ -266,7 +266,7 @@ with four True elements to select rows from a 3-D array of shape [[15, 16, 17, 18, 19], [20, 21, 22, 23, 24], [25, 26, 27, 28, 29]]]) - >>> b=np.array([[True, True, False], [False, True, True]]) + >>> b = np.array([[True, True, False], [False, True, True]]) >>> x[b] array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], |