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| author | rgommers <ralf.gommers@googlemail.com> | 2011-03-02 12:55:04 +0800 |
|---|---|---|
| committer | rgommers <ralf.gommers@googlemail.com> | 2011-03-02 13:23:49 +0800 |
| commit | 68e33f93d49d39cfd3789d85224a65036f03ee11 (patch) | |
| tree | 67f413c015e877fe2fcbe13d7df451c28cc481fc /numpy/core/numeric.py | |
| parent | 4ca2465fe169576b46dee783dd0279cfd536d9c4 (diff) | |
| download | numpy-68e33f93d49d39cfd3789d85224a65036f03ee11.tar.gz | |
DOC: merge wiki edits for numpy.core.
Diffstat (limited to 'numpy/core/numeric.py')
| -rw-r--r-- | numpy/core/numeric.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index fc935b4cb..fa9f19165 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -66,7 +66,7 @@ def zeros_like(a, dtype=None, order='K'): """ Return an array of zeros with the same shape and type as a given array. - With default paramters, is equivalent to ``a.copy().fill(0)``. + With default parameters, is equivalent to ``a.copy().fill(0)``. Parameters ---------- @@ -77,8 +77,8 @@ def zeros_like(a, dtype=None, order='K'): Overrides the data type of the result. order : {'C', 'F', 'A', or 'K'}, optional Overrides the memory layout of the result. 'C' means C-order, - 'F' means F-order, 'A' means 'F' if ``a`` is Fortran contiguous, - 'C' otherwise. 'K' means match the layout of ``a`` as closely + 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, + 'C' otherwise. 'K' means match the layout of `a` as closely as possible. Returns @@ -763,7 +763,7 @@ def outer(a,b): See also -------- - numpy.inner, numpy.einsum + inner, einsum References ---------- @@ -855,7 +855,7 @@ def tensordot(a, b, axes=2): See Also -------- - numpy.dot, numpy.einsum + dot, einsum Notes ----- |