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authorMatti Picus <matti.picus@gmail.com>2020-02-28 13:05:20 +0200
committerGitHub <noreply@github.com>2020-02-28 13:05:20 +0200
commit7eaac94d183888639422c7b55471613f1d5bce18 (patch)
tree136f9c3672d7ce69b53ee45b18ed501c2e4a0af7 /numpy/core/multiarray.py
parente6c2765d428bdce57b6d5bf0554d177ab0b45bf5 (diff)
parent70f97a5040e20642b68e45d30e030a89ac89e665 (diff)
downloadnumpy-7eaac94d183888639422c7b55471613f1d5bce18.tar.gz
Merge pull request #12646 from shoyer/refguide-check-exceptions
TST: check exception details in refguide_check.py
Diffstat (limited to 'numpy/core/multiarray.py')
-rw-r--r--numpy/core/multiarray.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/numpy/core/multiarray.py b/numpy/core/multiarray.py
index a920b3687..e207280f0 100644
--- a/numpy/core/multiarray.py
+++ b/numpy/core/multiarray.py
@@ -909,8 +909,9 @@ def bincount(x, weights=None, minlength=None):
>>> np.bincount(np.arange(5, dtype=float))
Traceback (most recent call last):
- File "<stdin>", line 1, in <module>
- TypeError: array cannot be safely cast to required type
+ ...
+ TypeError: Cannot cast array data from dtype('float64') to dtype('int64')
+ according to the rule 'safe'
A possible use of ``bincount`` is to perform sums over
variable-size chunks of an array, using the ``weights`` keyword.