Merge pull request #460 from endolith/regex_formatting

DOC: Formatting fixes using regex

31 files changed, 89 insertions, 93 deletions

diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index f2b7077c7..a534e852c 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -211,7 +211,7 @@ add_newdoc('numpy.core', 'nditer',
     op_dtypes : dtype or tuple of dtype(s), optional
         The required data type(s) of the operands. If copying or buffering
         is enabled, the data will be converted to/from their original types.
-    order : {'C', 'F', 'A', or 'K'}, optional
+    order : {'C', 'F', 'A', 'K'}, optional
         Controls the iteration order. 'C' means C order, 'F' means
         Fortran order, 'A' means 'F' order if all the arrays are Fortran
         contiguous, 'C' order otherwise, and 'K' means as close to the
@@ -1503,7 +1503,7 @@ add_newdoc('numpy.core.multiarray', 'lexsort',
 
     Parameters
     ----------
-    keys : (k,N) array or tuple containing k (N,)-shaped sequences
+    keys : (k, N) array or tuple containing k (N,)-shaped sequences
         The `k` different "columns" to be sorted.  The last column (or row if
         `keys` is a 2D array) is the primary sort key.
     axis : int, optional
@@ -1598,7 +1598,6 @@ add_newdoc('numpy.core.multiarray', 'can_cast',
 
     Examples
     --------
-
     Basic examples
 
     >>> np.can_cast(np.int32, np.int64)
@@ -1978,7 +1977,7 @@ add_newdoc('numpy.core', 'einsum',
         If provided, forces the calculation to use the data type specified.
         Note that you may have to also give a more liberal `casting`
         parameter to allow the conversions.
-    order : {'C', 'F', 'A', or 'K'}, optional
+    order : {'C', 'F', 'A', 'K'}, optional
         Controls the memory layout of the output. 'C' means it should
         be C contiguous. 'F' means it should be Fortran contiguous,
         'A' means it should be 'F' if the inputs are all 'F', 'C' otherwise.
@@ -3047,7 +3046,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('astype',
     ----------
     dtype : str or dtype
         Typecode or data-type to which the array is cast.
-    order : {'C', 'F', 'A', or 'K'}, optional
+    order : {'C', 'F', 'A', 'K'}, optional
         Controls the memory layout order of the result.
         'C' means C order, 'F' means Fortran order, 'A'
         means 'F' order if all the arrays are Fortran contiguous,
@@ -3083,7 +3082,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('astype',
 
     Raises
     ------
-    ComplexWarning :
+    ComplexWarning
         When casting from complex to float or int. To avoid this,
         one should use ``a.real.astype(t)``.
 
@@ -3110,12 +3109,12 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('byteswap',
 
     Parameters
     ----------
-    inplace: bool, optional
+    inplace : bool, optional
         If ``True``, swap bytes in-place, default is ``False``.
 
     Returns
     -------
-    out: ndarray
+    out : ndarray
         The byteswapped array. If `inplace` is ``True``, this is
         a view to self.
 
@@ -5058,7 +5057,6 @@ add_newdoc('numpy.lib._compiled_base', 'add_newdoc_ufunc',
 
     Notes
     -----
-
     This method allocates memory for new_docstring on
     the heap. Technically this creates a mempory leak, since this
     memory will not be reclaimed until the end of the program
@@ -5900,7 +5898,6 @@ add_newdoc('numpy.core.multiarray', 'dtype', ('fields',
 
     Examples
     --------
-
     >>> dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
     >>> print dt.fields
     {'grades': (dtype(('float64',(2,))), 16), 'name': (dtype('|S16'), 0)}
@@ -6008,7 +6005,6 @@ add_newdoc('numpy.core.multiarray', 'dtype', ('names',
 
     Examples
     --------
-
     >>> dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
     >>> dt.names
     ('name', 'grades')
diff --git a/numpy/build_utils/common.py b/numpy/build_utils/common.py
index 301d1da7d..50d2f59bc 100644
--- a/numpy/build_utils/common.py
+++ b/numpy/build_utils/common.py
@@ -27,13 +27,14 @@ def pyod(filename):
 
     Parameters
     ----------
-    filename: str
+    filename : str
         name of the file to get the dump from.
 
     Returns
     -------
-    out: seq
+    out : seq
         list of lines of od output
+
     Note
     ----
     We only implement enough to get the necessary information for long double
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index 2675b0ea1..6e53dca00 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -399,7 +399,8 @@ def array2string(a, max_line_width=None, precision=None,
 
     Raises
     ------
-    TypeError : if a callable in `formatter` does not return a string.
+    TypeError
+        if a callable in `formatter` does not return a string.
 
     See Also
     --------
diff --git a/numpy/core/code_generators/generate_umath.py b/numpy/core/code_generators/generate_umath.py
index 6dd3d4876..ebbf63f20 100644
--- a/numpy/core/code_generators/generate_umath.py
+++ b/numpy/core/code_generators/generate_umath.py
@@ -96,12 +96,11 @@ class Ufunc(object):
 
     Attributes
     ----------
-
-    nin: number of input arguments
-    nout: number of output arguments
-    identity: identity element for a two-argument function
-    docstring: docstring for the ufunc
-    type_descriptions: list of TypeDescription objects
+    nin : number of input arguments
+    nout : number of output arguments
+    identity : identity element for a two-argument function
+    docstring : docstring for the ufunc
+    type_descriptions : list of TypeDescription objects
     """
     def __init__(self, nin, nout, identity, docstring, typereso,
                  *type_descriptions):
diff --git a/numpy/core/code_generators/ufunc_docstrings.py b/numpy/core/code_generators/ufunc_docstrings.py
index ff947acb8..b990e81ea 100644
--- a/numpy/core/code_generators/ufunc_docstrings.py
+++ b/numpy/core/code_generators/ufunc_docstrings.py
@@ -2800,7 +2800,7 @@ add_newdoc('numpy.core.umath', 'signbit',
 
     Parameters
     ----------
-    x: array_like
+    x : array_like
         The input value(s).
     out : ndarray, optional
         Array into which the output is placed. Its type is preserved
@@ -2831,9 +2831,9 @@ add_newdoc('numpy.core.umath', 'copysign',
 
     Parameters
     ----------
-    x1: array_like
+    x1 : array_like
         Values to change the sign of.
-    x2: array_like
+    x2 : array_like
         The sign of `x2` is copied to `x1`.
     out : ndarray, optional
         Array into which the output is placed. Its type is preserved and it
@@ -2896,7 +2896,7 @@ add_newdoc('numpy.core.umath', 'spacing',
 
     Parameters
     ----------
-    x1: array_like
+    x1 : array_like
         Values to find the spacing of.
 
     Returns
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 0080c38ce..e7211cede 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -149,7 +149,6 @@ def reshape(a, newshape, order='C'):
 
     Notes
     -----
-
     It is not always possible to change the shape of an array without
     copying the data. If you want an error to be raise if the data is copied,
     you should assign the new shape to the shape attribute of the array::
diff --git a/numpy/core/setup_common.py b/numpy/core/setup_common.py
index 056cf9ec0..53f3b76e1 100644
--- a/numpy/core/setup_common.py
+++ b/numpy/core/setup_common.py
@@ -163,13 +163,14 @@ def pyod(filename):
 
     Parameters
     ----------
-    filename: str
+    filename : str
         name of the file to get the dump from.
 
     Returns
     -------
-    out: seq
+    out : seq
         list of lines of od output
+
     Note
     ----
     We only implement enough to get the necessary information for long double
diff --git a/numpy/distutils/command/config.py b/numpy/distutils/command/config.py
index 055fd26a9..470ca07c9 100644
--- a/numpy/distutils/command/config.py
+++ b/numpy/distutils/command/config.py
@@ -340,7 +340,7 @@ int main ()
 
         Arguments
         ---------
-        funcs: seq
+        funcs : seq
             list of functions to test
         include_dirs : seq
             list of header paths
diff --git a/numpy/distutils/mingw32ccompiler.py b/numpy/distutils/mingw32ccompiler.py
index 0505309fa..af613e551 100644
--- a/numpy/distutils/mingw32ccompiler.py
+++ b/numpy/distutils/mingw32ccompiler.py
@@ -513,10 +513,13 @@ def manifest_rc(name, type='dll'):
     'exe').
 
     Parameters
-    ---------- name: str
+    ----------
+    name : str
             name of the manifest file to embed
-        type: str ('dll', 'exe')
-            type of the binary which will embed the manifest"""
+    type : str {'dll', 'exe'}
+            type of the binary which will embed the manifest
+
+    """
     if type == 'dll':
         rctype = 2
     elif type == 'exe':
diff --git a/numpy/distutils/misc_util.py b/numpy/distutils/misc_util.py
index f526557d6..48bbcf005 100644
--- a/numpy/distutils/misc_util.py
+++ b/numpy/distutils/misc_util.py
@@ -878,14 +878,14 @@ class Configuration(object):
 
         Parameters
         ----------
-        subpackage_name: str,None
+        subpackage_name : str or None
             Name of the subpackage to get the configuration. '*' in
             subpackage_name is handled as a wildcard.
-        subpackage_path: str
+        subpackage_path : str
             If None, then the path is assumed to be the local path plus the
             subpackage_name. If a setup.py file is not found in the
             subpackage_path, then a default configuration is used.
-        parent_name: str
+        parent_name : str
             Parent name.
         """
         if subpackage_name is None:
@@ -941,13 +941,13 @@ class Configuration(object):
 
         Parameters
         ----------
-        subpackage_name: str
+        subpackage_name : str
             name of the subpackage
-        subpackage_path: str
+        subpackage_path : str
             if given, the subpackage path such as the subpackage is in
             subpackage_path / subpackage_name. If None,the subpackage is
             assumed to be located in the local path / subpackage_name.
-        standalone: bool
+        standalone : bool
         """
 
         if standalone:
@@ -985,10 +985,10 @@ class Configuration(object):
 
         Parameters
         ----------
-        data_path: seq,str
+        data_path : seq or str
             Argument can be either
 
-                * 2-sequence (<datadir suffix>,<path to data directory>)
+                * 2-sequence (<datadir suffix>, <path to data directory>)
                 * path to data directory where python datadir suffix defaults
                   to package dir.
 
@@ -1107,7 +1107,7 @@ class Configuration(object):
 
         Parameters
         ----------
-        files: sequence
+        files : sequence
             Argument(s) can be either
 
                 * 2-sequence (<datadir prefix>,<path to data file(s)>)
@@ -1286,7 +1286,7 @@ class Configuration(object):
 
         Parameters
         ----------
-        files: str, seq
+        files : str or seq
             Argument(s) can be either:
 
                 * 2-sequence (<includedir suffix>,<path to header file(s)>)
@@ -1341,9 +1341,9 @@ class Configuration(object):
 
         Parameters
         ----------
-        name: str
+        name : str
             name of the extension
-        sources: seq
+        sources : seq
             list of the sources. The list of sources may contain functions
             (called source generators) which must take an extension instance
             and a build directory as inputs and return a source file or list of
@@ -1351,28 +1351,28 @@ class Configuration(object):
             generated. If the Extension instance has no sources after
             processing all source generators, then no extension module is
             built.
-        include_dirs:
-        define_macros:
-        undef_macros:
-        library_dirs:
-        libraries:
-        runtime_library_dirs:
-        extra_objects:
-        extra_compile_args:
-        extra_link_args:
-        extra_f77_compile_args:
-        extra_f90_compile_args:
-        export_symbols:
-        swig_opts:
-        depends:
+        include_dirs :
+        define_macros :
+        undef_macros :
+        library_dirs :
+        libraries :
+        runtime_library_dirs :
+        extra_objects :
+        extra_compile_args :
+        extra_link_args :
+        extra_f77_compile_args :
+        extra_f90_compile_args :
+        export_symbols :
+        swig_opts :
+        depends :
             The depends list contains paths to files or directories that the
             sources of the extension module depend on. If any path in the
             depends list is newer than the extension module, then the module
             will be rebuilt.
-        language:
-        f2py_options:
-        module_dirs:
-        extra_info: dict,list
+        language :
+        f2py_options :
+        module_dirs :
+        extra_info : dict or list
             dict or list of dict of keywords to be appended to keywords.
 
         Notes
diff --git a/numpy/lib/_iotools.py b/numpy/lib/_iotools.py
index 87ce9b01d..8054c2662 100644
--- a/numpy/lib/_iotools.py
+++ b/numpy/lib/_iotools.py
@@ -87,7 +87,8 @@ def has_nested_fields(ndtype):
 
     Raises
     ------
-    AttributeError : If `ndtype` does not have a `names` attribute.
+    AttributeError
+        If `ndtype` does not have a `names` attribute.
 
     Examples
     --------
@@ -267,7 +268,7 @@ class NameValidator(object):
         * If 'lower', field names are converted to lower case.
 
         The default value is True.
-    replace_space: '_', optional
+    replace_space : '_', optional
         Character(s) used in replacement of white spaces.
 
     Notes
diff --git a/numpy/lib/arraypad.py b/numpy/lib/arraypad.py
index fbf65904a..31bf609f5 100644
--- a/numpy/lib/arraypad.py
+++ b/numpy/lib/arraypad.py
@@ -619,10 +619,10 @@ 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/format.py b/numpy/lib/format.py
index 21b0607e7..a4e8495b5 100644
--- a/numpy/lib/format.py
+++ b/numpy/lib/format.py
@@ -311,7 +311,7 @@ def read_array_header_1_0(fp):
 
     Raises
     ------
-    ValueError :
+    ValueError
         If the data is invalid.
 
     """
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 9ca72bf41..fdcb4977a 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -2917,7 +2917,7 @@ 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 045166b84..06ec80d23 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -652,7 +652,8 @@ 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/npyio.py b/numpy/lib/npyio.py
index 065a3ba46..ede54ecc7 100644
--- a/numpy/lib/npyio.py
+++ b/numpy/lib/npyio.py
@@ -283,7 +283,7 @@ def load(file, mmap_mode=None):
     file : file-like object or string
         The file to read.  It must support ``seek()`` and ``read()`` methods.
         If the filename extension is ``.gz``, the file is first decompressed.
-    mmap_mode: {None, 'r+', 'r', 'w+', 'c'}, optional
+    mmap_mode : {None, 'r+', 'r', 'w+', 'c'}, optional
         If not None, then memory-map the file, using the given mode
         (see `numpy.memmap` for a detailed description of the modes).
         A memory-mapped array is kept on disk. However, it can be accessed
diff --git a/numpy/lib/polynomial.py b/numpy/lib/polynomial.py
index 2d455e33a..3f5593432 100644
--- a/numpy/lib/polynomial.py
+++ b/numpy/lib/polynomial.py
@@ -169,7 +169,7 @@ def roots(p):
 
     Raises
     ------
-    ValueError :
+    ValueError
         When `p` cannot be converted to a rank-1 array.
 
     See also
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index 909f6faa8..4f14a0c40 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -681,12 +681,10 @@ 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 9a8776098..ee49b41d6 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -835,7 +835,7 @@ 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
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 3299262d1..3c7206e1c 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -630,7 +630,6 @@ def getdata(a, subok=True):
 
     Examples
     --------
-
     >>> import numpy.ma as ma
     >>> a = ma.masked_equal([[1,2],[3,4]], 2)
     >>> a
@@ -1263,7 +1262,6 @@ def getmask(a):
 
     Examples
     --------
-
     >>> import numpy.ma as ma
     >>> a = ma.masked_equal([[1,2],[3,4]], 2)
     >>> a
@@ -1325,7 +1323,6 @@ def getmaskarray(arr):
 
     Examples
     --------
-
     >>> import numpy.ma as ma
     >>> a = ma.masked_equal([[1,2],[3,4]], 2)
     >>> a
@@ -1533,7 +1530,7 @@ def make_mask_none(newshape, dtype=None):
     ----------
     newshape : tuple
         A tuple indicating the shape of the mask.
-    dtype: {None, dtype}, optional
+    dtype : {None, dtype}, optional
         If None, use a MaskType instance. Otherwise, use a new datatype with
         the same fields as `dtype`, converted to boolean types.
 
@@ -5653,7 +5650,7 @@ class mvoid(MaskedArray):
 
         Returns
         -------
-        filled_void:
+        filled_void
             A `np.void` object
 
         See Also
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index 795e75402..a22152729 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -1296,7 +1296,7 @@ def cov(x, y=None, rowvar=True, bias=False, allow_masked=True, ddof=None):
 
     Raises
     ------
-    ValueError:
+    ValueError
         Raised if some values are missing and `allow_masked` is False.
 
     See Also
diff --git a/numpy/matrixlib/defmatrix.py b/numpy/matrixlib/defmatrix.py
index cf47fadf8..4ecce483c 100644
--- a/numpy/matrixlib/defmatrix.py
+++ b/numpy/matrixlib/defmatrix.py
@@ -588,9 +588,9 @@ class matrix(N.ndarray):
 
         Parameters
         ----------
-        axis: int, optional
+        axis : int, optional
             Axis along which logical OR is performed
-        out: ndarray, optional
+        out : ndarray, optional
             Output to existing array instead of creating new one, must have
             same shape as expected output
 
diff --git a/numpy/polynomial/chebyshev.py b/numpy/polynomial/chebyshev.py
index dde4966e7..2c2070c62 100644
--- a/numpy/polynomial/chebyshev.py
+++ b/numpy/polynomial/chebyshev.py
@@ -878,7 +878,7 @@ def chebder(c, m=1, scl=1, axis=0) :
 
     Parameters
     ----------
-    c: array_like
+    c : array_like
         Array of Chebyshev series coefficients. If c is multidimensional
         the different axis correspond to different variables with the
         degree in each axis given by the corresponding index.
@@ -1437,7 +1437,7 @@ def chebvander(x, deg) :
 
     Returns
     -------
-    vander: ndarray
+    vander : ndarray
         The pseudo Vandermonde matrix. The shape of the returned matrix is
         ``x.shape + (deg + 1,)``, where The last index is the degree of the
         corresponding Chebyshev polynomial.  The dtype will be the same as
diff --git a/numpy/polynomial/hermite.py b/numpy/polynomial/hermite.py
index 51a0f2fe0..f731817c0 100644
--- a/numpy/polynomial/hermite.py
+++ b/numpy/polynomial/hermite.py
@@ -1201,7 +1201,7 @@ def hermvander(x, deg) :
 
     Returns
     -------
-    vander: ndarray
+    vander : ndarray
         The pseudo-Vandermonde matrix. The shape of the returned matrix is
         ``x.shape + (deg + 1,)``, where The last index is the degree of the
         corresponding Hermite polynomial.  The dtype will be the same as
diff --git a/numpy/polynomial/hermite_e.py b/numpy/polynomial/hermite_e.py
index 9ae3c7067..3ecb3c58d 100644
--- a/numpy/polynomial/hermite_e.py
+++ b/numpy/polynomial/hermite_e.py
@@ -646,7 +646,7 @@ def hermeder(c, m=1, scl=1, axis=0) :
 
     Parameters
     ----------
-    c: array_like
+    c : array_like
         Array of Hermite_e series coefficients. If `c` is multidimensional
         the different axis correspond to different variables with the
         degree in each axis given by the corresponding index.
@@ -1198,7 +1198,7 @@ def hermevander(x, deg) :
 
     Returns
     -------
-    vander: ndarray
+    vander : ndarray
         The pseudo-Vandermonde matrix. The shape of the returned matrix is
         ``x.shape + (deg + 1,)``, where The last index is the degree of the
         corresponding HermiteE polynomial.  The dtype will be the same as
diff --git a/numpy/polynomial/laguerre.py b/numpy/polynomial/laguerre.py
index 874088b2c..a951567de 100644
--- a/numpy/polynomial/laguerre.py
+++ b/numpy/polynomial/laguerre.py
@@ -644,7 +644,7 @@ def lagder(c, m=1, scl=1, axis=0) :
 
     Parameters
     ----------
-    c: array_like
+    c : array_like
         Array of Laguerre series coefficients. If `c` is multidimensional
         the different axis correspond to different variables with the
         degree in each axis given by the corresponding index.
@@ -1201,7 +1201,7 @@ def lagvander(x, deg) :
 
     Returns
     -------
-    vander: ndarray
+    vander : ndarray
         The pseudo-Vandermonde matrix. The shape of the returned matrix is
         ``x.shape + (deg + 1,)``, where The last index is the degree of the
         corresponding Laguerre polynomial.  The dtype will be the same as
diff --git a/numpy/polynomial/legendre.py b/numpy/polynomial/legendre.py
index ba49cbc57..45107f543 100644
--- a/numpy/polynomial/legendre.py
+++ b/numpy/polynomial/legendre.py
@@ -1238,7 +1238,7 @@ def legvander(x, deg) :
 
     Returns
     -------
-    vander: ndarray
+    vander : ndarray
         The pseudo-Vandermonde matrix. The shape of the returned matrix is
         ``x.shape + (deg + 1,)``, where The last index is the degree of the
         corresponding Legendre polynomial.  The dtype will be the same as
diff --git a/numpy/polynomial/polynomial.py b/numpy/polynomial/polynomial.py
index b9a14972e..49678cbbc 100644
--- a/numpy/polynomial/polynomial.py
+++ b/numpy/polynomial/polynomial.py
@@ -485,7 +485,7 @@ def polyder(c, m=1, scl=1, axis=0):
 
     Parameters
     ----------
-    c: array_like
+    c : array_like
         Array of polynomial coefficients. If c is multidimensional the
         different axis correspond to different variables with the degree
         in each axis given by the corresponding index.
diff --git a/numpy/polynomial/polyutils.py b/numpy/polynomial/polyutils.py
index 0d3343b04..51caacebe 100644
--- a/numpy/polynomial/polyutils.py
+++ b/numpy/polynomial/polyutils.py
@@ -138,7 +138,7 @@ def as_series(alist, trim=True) :
 
     Raises
     ------
-    ValueError :
+    ValueError
         Raised when `as_series` cannot convert its input to 1-d arrays, or at
         least one of the resulting arrays is empty.
 
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx
index 2d4d904bd..c45b85b59 100644
--- a/numpy/random/mtrand/mtrand.pyx
+++ b/numpy/random/mtrand/mtrand.pyx
@@ -1839,7 +1839,6 @@ cdef class RandomState:
 
         Notes
         -----
-
         The F statistic is used to compare in-group variances to between-group
         variances. Calculating the distribution depends on the sampling, and
         so it is a function of the respective degrees of freedom in the
diff --git a/numpy/testing/utils.py b/numpy/testing/utils.py
index c08dd0c33..eb212cb14 100644
--- a/numpy/testing/utils.py
+++ b/numpy/testing/utils.py
@@ -1298,7 +1298,7 @@ def nulp_diff(x, y, dtype=None):
 
     Returns
     -------
-    nulp: array_like
+    nulp : array_like
         number of representable floating point numbers between each item in x
         and y.