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| author | Anner <anner.de.jong@outlook.com> | 2018-07-05 10:48:22 +0900 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-07-05 10:48:22 +0900 |
| commit | a6694870220b8b4ab18796b6c19e1dc45d0805cc (patch) | |
| tree | 29a319ce6918919719e2994221393da14791b7bc /numpy/core/fromnumeric.py | |
| parent | 000e7d4edae1fa2257f72e889e22f0f2942f8f33 (diff) | |
| download | numpy-a6694870220b8b4ab18796b6c19e1dc45d0805cc.tar.gz | |
Update resize notes according to mattip's comments
removed 'simple'
altered sentence describing which items are taken from `old` into `new`
therefor -> therefore
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index a87437a47..57410d194 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -1201,11 +1201,11 @@ def resize(a, new_shape): Notes ----- Warning: This functionality does **not** consider axes separately, - i.e. it does not apply interpolation/extrapolation of some sort. - It simply takes the first `np.prod(new_shape)` elements of `a`, - disregarding axes, and fills the returned array with these elements. + i.e. it does not apply interpolation/extrapolation. + It fills the return array with the required number of elements, + taken from `a` as they are laid out in memory, disregarding strides and axes. (This is in case the new shape is smaller. For larger, see above.) - This functionality is therefor not suitable to resize images, + This functionality is therefore not suitable to resize images, or data where each axis represents a separate and distinct entity. Examples |