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-rw-r--r--numpy/doc/constants.py10
-rw-r--r--numpy/doc/creation.py2
2 files changed, 6 insertions, 6 deletions
diff --git a/numpy/doc/constants.py b/numpy/doc/constants.py
index 22e353b0e..154c74621 100644
--- a/numpy/doc/constants.py
+++ b/numpy/doc/constants.py
@@ -64,9 +64,9 @@ add_newdoc('numpy', 'NAN',
See Also
--------
- isnan : Shows which elements are Not a Number.
- isfinite : Shows which elements are finite (not one of
- Not a Number, positive infinity and negative infinity)
+ isnan: Shows which elements are Not a Number.
+
+ isfinite: Shows which elements are finite (not one of Not a Number, positive infinity and negative infinity)
Notes
-----
@@ -182,8 +182,8 @@ add_newdoc('numpy', 'NaN',
--------
isnan : Shows which elements are Not a Number.
- isfinite : Shows which elements are finite (not one of
- Not a Number, positive infinity and negative infinity)
+
+ isfinite : Shows which elements are finite (not one of Not a Number, positive infinity and negative infinity)
Notes
-----
diff --git a/numpy/doc/creation.py b/numpy/doc/creation.py
index 133765678..d57c7c261 100644
--- a/numpy/doc/creation.py
+++ b/numpy/doc/creation.py
@@ -76,7 +76,7 @@ generally will not do for arbitrary start, stop, and step values.
indices() will create a set of arrays (stacked as a one-higher dimensioned
array), one per dimension with each representing variation in that dimension.
-An examples illustrates much better than a verbal description: ::
+An example illustrates much better than a verbal description: ::
>>> np.indices((3,3))
array([[[0, 0, 0], [1, 1, 1], [2, 2, 2]], [[0, 1, 2], [0, 1, 2], [0, 1, 2]]])