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| author | takanori-pskq <takanori17h@gmail.com> | 2020-10-26 14:11:44 +0900 |
|---|---|---|
| committer | takanori-pskq <takanori17h@gmail.com> | 2020-10-26 15:55:50 +0900 |
| commit | d212ee4ceeb0a1ff8dba1c6d9e0cc54360e81a94 (patch) | |
| tree | e47fa552685820a398a0366f811b30f82a301d93 /doc/source/reference/arrays.nditer.cython.rst | |
| parent | fcba5a6c901717110b9767b418df410d7c8c6e73 (diff) | |
| download | numpy-d212ee4ceeb0a1ff8dba1c6d9e0cc54360e81a94.tar.gz | |
DOC: Fix some references
Diffstat (limited to 'doc/source/reference/arrays.nditer.cython.rst')
| -rw-r--r-- | doc/source/reference/arrays.nditer.cython.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/reference/arrays.nditer.cython.rst b/doc/source/reference/arrays.nditer.cython.rst index 2cc7763ed..43aad9927 100644 --- a/doc/source/reference/arrays.nditer.cython.rst +++ b/doc/source/reference/arrays.nditer.cython.rst @@ -5,7 +5,7 @@ Those who want really good performance out of their low level operations should strongly consider directly using the iteration API provided in C, but for those who are not comfortable with C or C++, Cython is a good middle ground with reasonable performance tradeoffs. For -the :class:`nditer` object, this means letting the iterator take care +the :class:`~numpy.nditer` object, this means letting the iterator take care of broadcasting, dtype conversion, and buffering, while giving the inner loop to Cython. |