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| author | kai <kaistriega@gmail.com> | 2019-03-17 16:26:09 +0800 |
|---|---|---|
| committer | kai <kaistriega@gmail.com> | 2019-03-18 15:51:34 +0800 |
| commit | e3322b40d6e53a1f4efae9ce3c24f8f5cf58a190 (patch) | |
| tree | 9e3807488d7663f6a2302aac7cf0acc2d33dd3d3 /numpy/core/fromnumeric.py | |
| parent | 06da877ceae914a875bd1a55cd8e271332358803 (diff) | |
| download | numpy-e3322b40d6e53a1f4efae9ce3c24f8f5cf58a190.tar.gz | |
DOC: Add description of overflow errorrs
Unlike Python, NumPy integers have fixed sizes. This can lead to
confusion when a integer overflow occurs and users expect NumPy integer
types to behave similarily to Python integers. This commit explains
integer overflow, an example and potential work arounds.
Diffstat (limited to 'numpy/core/fromnumeric.py')
0 files changed, 0 insertions, 0 deletions