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| author | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-06 14:42:08 +0200 |
|---|---|---|
| committer | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-06 14:42:08 +0200 |
| commit | 2a55233b81a6ea18a57d1dd4f7bc5fff9f2fb681 (patch) | |
| tree | 1a4a81faf9e59d0cabf9cbace9dc967bad60caa1 /numpy/doc/ufuncs.py | |
| parent | 773e3cad9a71cb9a7849d8e251fb8a99ab35d06b (diff) | |
| download | numpy-2a55233b81a6ea18a57d1dd4f7bc5fff9f2fb681.tar.gz | |
DOC: change Numpy to NumPy in dosctrings and comments
The strings in error messages were left untouched
Diffstat (limited to 'numpy/doc/ufuncs.py')
| -rw-r--r-- | numpy/doc/ufuncs.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/ufuncs.py b/numpy/doc/ufuncs.py index 0132202ad..a112e559c 100644 --- a/numpy/doc/ufuncs.py +++ b/numpy/doc/ufuncs.py @@ -6,7 +6,7 @@ Universal Functions Ufuncs are, generally speaking, mathematical functions or operations that are applied element-by-element to the contents of an array. That is, the result in each output array element only depends on the value in the corresponding -input array (or arrays) and on no other array elements. Numpy comes with a +input array (or arrays) and on no other array elements. NumPy comes with a large suite of ufuncs, and scipy extends that suite substantially. The simplest example is the addition operator: :: |