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| author | Steve <steve@steve-Inspiron14z.(none)> | 2013-02-04 22:13:34 -0500 |
|---|---|---|
| committer | Steve <steve@steve-Inspiron14z.(none)> | 2013-02-04 22:13:34 -0500 |
| commit | 637dbd84d5b80d91aa2eecd950a0e509d44f112e (patch) | |
| tree | 4bcd2444e10ff5c536458aa4c6a36c3032268a37 /numpy/core/defchararray.py | |
| parent | 0a87823d048fca997684e86718be0d46459ad4fd (diff) | |
| download | numpy-637dbd84d5b80d91aa2eecd950a0e509d44f112e.tar.gz | |
DOC -- add another paragraph note to ndarray.view docs
Since most numpy operations are not sensitive to underlying data
structure (C-ordered arrays vs fortran-ordered arrays, versus slices or
transposes of arrays, etc.), but structured-array views ARE sensitive to
that, it is worth saying it explicitly in the documentation.
Diffstat (limited to 'numpy/core/defchararray.py')
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