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authorJarrod Millman <millman@berkeley.edu>2010-02-17 23:55:16 +0000
committerJarrod Millman <millman@berkeley.edu>2010-02-17 23:55:16 +0000
commit1c7167378e9f654a80b3cb57b7c0dd7ee573a109 (patch)
tree1926d178db2e66c19552f8216926c07155f7cde3 /numpy/add_newdocs.py
parente2bb09430d90c73a7be6e47ea8c4528f094f693f (diff)
downloadnumpy-1c7167378e9f654a80b3cb57b7c0dd7ee573a109.tar.gz
updated documentation from pydoc website (thanks to everyone who contributed!)
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r--numpy/add_newdocs.py6
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diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index bbb93f6f2..b6c5853e0 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -3985,6 +3985,12 @@ add_newdoc('numpy.core', 'ufunc',
"""
Functions that operate element by element on whole arrays.
+ To see the documentation for a specific ufunc, use np.info(). For
+ example, np.info(np.sin). Because ufuncs are written in C
+ (for speed) and linked into Python with NumPy's ufunc facility,
+ Python's help() function finds this page whenever help() is called
+ on a ufunc.
+
A detailed explanation of ufuncs can be found in the "ufuncs.rst"
file in the NumPy reference guide.