DOC: Used regex to find colons missing spaces which render wrong online, also other spacing or formatting mistakes

5 files changed, 6 insertions, 7 deletions

diff --git a/numpy/lib/arraypad.py b/numpy/lib/arraypad.py
index 6212ac7f3..e859affc4 100644
--- a/numpy/lib/arraypad.py
+++ b/numpy/lib/arraypad.py
@@ -617,10 +617,10 @@ def pad(array, pad_width, mode=None, **kwargs):
 
     where
 
-        vector: ndarray
+        vector : ndarray
             A rank 1 array already padded with zeros.  Padded values are
             vector[:pad_tuple[0]] and vector[-pad_tuple[1]:].
-        iaxis_pad_width: tuple
+        iaxis_pad_width : tuple
             A 2-tuple of ints, iaxis_pad_width[0] represents the number of
             values padded at the beginning of vector where
             iaxis_pad_width[1] represents the number of values padded at
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index e32492958..6c7e4a7bc 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -2910,7 +2910,7 @@ def median(a, axis=None, out=None, overwrite_input=False):
         Alternative output array in which to place the result. It must
         have the same shape and buffer length as the expected output,
         but the type (of the output) will be cast if necessary.
-    overwrite_input : bool optional
+    overwrite_input : bool, optional
        If True, then allow use of memory of input array (a) for
        calculations. The input array will be modified by the call to
        median. This will save memory when you do not need to preserve
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index b07fde27d..f8482a4f7 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -649,7 +649,8 @@ def fill_diagonal(a, val, wrap=False):
       Value to be written on the diagonal, its type must be compatible with
       that of the array a.
 
-    wrap: bool For tall matrices in NumPy version up to 1.6.2, the
+    wrap : bool 
+      For tall matrices in NumPy version up to 1.6.2, the
       diagonal "wrapped" after N columns. You can have this behavior
       with this option. This affect only tall matrices.
 
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index aefc81c2b..90511ed50 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -679,12 +679,10 @@ def kron(a,b):
 
     See Also
     --------
-
     outer : The outer product
 
     Notes
     -----
-
     The function assumes that the number of dimenensions of `a` and `b`
     are the same, if necessary prepending the smallest with ones.
     If `a.shape = (r0,r1,..,rN)` and `b.shape = (s0,s1,...,sN)`,
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index dc6c16767..f640ce48c 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -833,7 +833,7 @@ def _lookfor_generate_cache(module, import_modules, regenerate):
         Module for which to generate docstring cache
     import_modules : bool
         Whether to import sub-modules in packages.
-    regenerate: bool
+    regenerate : bool
         Re-generate the docstring cache
 
     Returns