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author | Eric Wieser <wieser.eric@gmail.com> | 2017-08-01 20:29:36 +0000 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2017-08-05 10:36:48 -0600 |
commit | 2b781f8967488dc007f8f0a1e6a7f49208788d12 (patch) | |
tree | 88ad7478e033ce5980a365a479e22b78ba1cecaa /numpy/core/numeric.py | |
parent | 5ab02b15de72fa00d785f49c62466fe048264cc4 (diff) | |
download | numpy-2b781f8967488dc007f8f0a1e6a7f49208788d12.tar.gz |
MAINT/DOC: Use builtin when np.{x} is builtins.{x}.
This is the case for x in {int, bool, str, float, complex, object}.
Using the np.{x} version is deceptive as it suggests that there is a
difference. This change doesn't affect any external behaviour. The
`long` type is missing in python 3, so np.long is still useful
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r-- | numpy/core/numeric.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 02f9be3a9..13a99505c 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -133,7 +133,7 @@ def zeros_like(a, dtype=None, order='K', subok=True): array([[0, 0, 0], [0, 0, 0]]) - >>> y = np.arange(3, dtype=np.float) + >>> y = np.arange(3, dtype=float) >>> y array([ 0., 1., 2.]) >>> np.zeros_like(y) @@ -176,7 +176,7 @@ def ones(shape, dtype=None, order='C'): >>> np.ones(5) array([ 1., 1., 1., 1., 1.]) - >>> np.ones((5,), dtype=np.int) + >>> np.ones((5,), dtype=int) array([1, 1, 1, 1, 1]) >>> np.ones((2, 1)) @@ -243,7 +243,7 @@ def ones_like(a, dtype=None, order='K', subok=True): array([[1, 1, 1], [1, 1, 1]]) - >>> y = np.arange(3, dtype=np.float) + >>> y = np.arange(3, dtype=float) >>> y array([ 0., 1., 2.]) >>> np.ones_like(y) @@ -344,7 +344,7 @@ def full_like(a, fill_value, dtype=None, order='K', subok=True): Examples -------- - >>> x = np.arange(6, dtype=np.int) + >>> x = np.arange(6, dtype=int) >>> np.full_like(x, 1) array([1, 1, 1, 1, 1, 1]) >>> np.full_like(x, 0.1) |