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authorEric Wieser <wieser.eric@gmail.com>2018-05-29 00:42:44 -0700
committerCharles Harris <charlesr.harris@gmail.com>2018-06-08 18:01:40 -0600
commit77496008b3ab6b41002479ddde6c66744296e674 (patch)
treef6d71ec1093cff1135370d2503340af6689d8a6e
parentc49df0eb195b6438cf99c6ed87504e2c61f17d03 (diff)
downloadnumpy-77496008b3ab6b41002479ddde6c66744296e674.tar.gz
STY: Revert line unwrap
-rw-r--r--numpy/doc/creation.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/numpy/doc/creation.py b/numpy/doc/creation.py
index dfcde585f..9ebe938be 100644
--- a/numpy/doc/creation.py
+++ b/numpy/doc/creation.py
@@ -9,7 +9,8 @@ Introduction
There are 5 general mechanisms for creating arrays:
1) Conversion from other Python structures (e.g., lists, tuples)
-2) Intrinsic numpy array creation objects (e.g., arange, ones, zeros, etc.)
+2) Intrinsic numpy array creation objects (e.g., arange, ones, zeros,
+ etc.)
3) Reading arrays from disk, either from standard or custom formats
4) Creating arrays from raw bytes through the use of strings or buffers
5) Use of special library functions (e.g., random)