DOC: convert `None` to bare None or ``None``

7 files changed, 25 insertions, 25 deletions

diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py
index 18aa55669..b60edd1df 100644
--- a/numpy/core/_add_newdocs.py
+++ b/numpy/core/_add_newdocs.py
@@ -4497,7 +4497,7 @@ add_newdoc('numpy.core', 'ufunc',
         Alternate array object(s) in which to put the result; if provided, it
         must have a shape that the inputs broadcast to. A tuple of arrays
         (possible only as a keyword argument) must have length equal to the
-        number of outputs; use `None` for uninitialized outputs to be
+        number of outputs; use None for uninitialized outputs to be
         allocated by the ufunc.
     where : array_like, optional
         This condition is broadcast over the input. At locations where the
@@ -4691,7 +4691,7 @@ add_newdoc('numpy.core', 'ufunc', ('signature',
     -----
     Generalized ufuncs are used internally in many linalg functions, and in
     the testing suite; the examples below are taken from these.
-    For ufuncs that operate on scalars, the signature is `None`, which is
+    For ufuncs that operate on scalars, the signature is None, which is
     equivalent to '()' for every argument.
 
     Examples
@@ -4742,7 +4742,7 @@ add_newdoc('numpy.core', 'ufunc', ('reduce',
 
         .. versionadded:: 1.7.0
 
-        If this is `None`, a reduction is performed over all the axes.
+        If this is None, a reduction is performed over all the axes.
         If this is a tuple of ints, a reduction is performed on multiple
         axes, instead of a single axis or all the axes as before.
 
@@ -4755,7 +4755,7 @@ add_newdoc('numpy.core', 'ufunc', ('reduce',
         to the data-type of the output array if this is provided, or
         the data-type of the input array if no output array is provided.
     out : ndarray, None, or tuple of ndarray and None, optional
-        A location into which the result is stored. If not provided or `None`,
+        A location into which the result is stored. If not provided or None,
         a freshly-allocated array is returned. For consistency with
         ``ufunc.__call__``, if given as a keyword, this may be wrapped in a
         1-element tuple.
@@ -4872,7 +4872,7 @@ add_newdoc('numpy.core', 'ufunc', ('accumulate',
         to the data-type of the output array if such is provided, or the
         the data-type of the input array if no output array is provided.
     out : ndarray, None, or tuple of ndarray and None, optional
-        A location into which the result is stored. If not provided or `None`,
+        A location into which the result is stored. If not provided or None,
         a freshly-allocated array is returned. For consistency with
         ``ufunc.__call__``, if given as a keyword, this may be wrapped in a
         1-element tuple.
@@ -4954,7 +4954,7 @@ add_newdoc('numpy.core', 'ufunc', ('reduceat',
         to the data type of the output array if this is provided, or
         the data type of the input array if no output array is provided.
     out : ndarray, None, or tuple of ndarray and None, optional
-        A location into which the result is stored. If not provided or `None`,
+        A location into which the result is stored. If not provided or None,
         a freshly-allocated array is returned. For consistency with
         ``ufunc.__call__``, if given as a keyword, this may be wrapped in a
         1-element tuple.
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index 233d139fd..0da6ed78a 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -111,7 +111,7 @@ def set_printoptions(precision=None, threshold=None, edgeitems=None,
     ----------
     precision : int or None, optional
         Number of digits of precision for floating point output (default 8).
-        May be `None` if `floatmode` is not `fixed`, to print as many digits as
+        May be None if `floatmode` is not `fixed`, to print as many digits as
         necessary to uniquely specify the value.
     threshold : int, optional
         Total number of array elements which trigger summarization
diff --git a/numpy/core/code_generators/ufunc_docstrings.py b/numpy/core/code_generators/ufunc_docstrings.py
index 1ac477b54..4dec73505 100644
--- a/numpy/core/code_generators/ufunc_docstrings.py
+++ b/numpy/core/code_generators/ufunc_docstrings.py
@@ -22,7 +22,7 @@ subst = {
     'PARAMS': textwrap.dedent("""
         out : ndarray, None, or tuple of ndarray and None, optional
             A location into which the result is stored. If provided, it must have
-            a shape that the inputs broadcast to. If not provided or `None`,
+            a shape that the inputs broadcast to. If not provided or None,
             a freshly-allocated array is returned. A tuple (possible only as a
             keyword argument) must have length equal to the number of outputs.
         where : array_like, optional
@@ -2596,7 +2596,7 @@ add_newdoc('numpy.core.umath', 'matmul',
     out : ndarray, optional
         A location into which the result is stored. If provided, it must have
         a shape that matches the signature `(n,k),(k,m)->(n,m)`. If not
-        provided or `None`, a freshly-allocated array is returned.
+        provided or None, a freshly-allocated array is returned.
     **kwargs
         For other keyword-only arguments, see the
         :ref:`ufunc docs <ufuncs.kwargs>`.
diff --git a/numpy/core/defchararray.py b/numpy/core/defchararray.py
index a941c5b81..2d89d6fe0 100644
--- a/numpy/core/defchararray.py
+++ b/numpy/core/defchararray.py
@@ -82,7 +82,7 @@ def _clean_args(*args):
 
     Many of the Python string operations that have optional arguments
     do not use 'None' to indicate a default value.  In these cases,
-    we need to remove all `None` arguments, and those following them.
+    we need to remove all None arguments, and those following them.
     """
     newargs = []
     for chk in args:
@@ -1333,7 +1333,7 @@ def rsplit(a, sep=None, maxsplit=None):
     a : array_like of str or unicode
 
     sep : str or unicode, optional
-        If `sep` is not specified or `None`, any whitespace string
+        If `sep` is not specified or None, any whitespace string
         is a separator.
     maxsplit : int, optional
         If `maxsplit` is given, at most `maxsplit` splits are done,
@@ -1417,7 +1417,7 @@ def split(a, sep=None, maxsplit=None):
     a : array_like of str or unicode
 
     sep : str or unicode, optional
-       If `sep` is not specified or `None`, any whitespace string is a
+       If `sep` is not specified or None, any whitespace string is a
        separator.
 
     maxsplit : int, optional
@@ -2659,7 +2659,7 @@ def array(obj, itemsize=None, copy=True, unicode=None, order=None):
     unicode : bool, optional
         When true, the resulting `chararray` can contain Unicode
         characters, when false only 8-bit characters.  If unicode is
-        `None` and `obj` is one of the following:
+        None and `obj` is one of the following:
 
           - a `chararray`,
           - an ndarray of type `str` or `unicode`
@@ -2799,7 +2799,7 @@ def asarray(obj, itemsize=None, unicode=None, order=None):
     unicode : bool, optional
         When true, the resulting `chararray` can contain Unicode
         characters, when false only 8-bit characters.  If unicode is
-        `None` and `obj` is one of the following:
+        None and `obj` is one of the following:
 
           - a `chararray`,
           - an ndarray of type `str` or 'unicode`
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 430578fda..5f7716455 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -1409,7 +1409,7 @@ def squeeze(a, axis=None):
     Raises
     ------
     ValueError
-        If `axis` is not `None`, and an axis being squeezed is not of length 1
+        If `axis` is not None, and an axis being squeezed is not of length 1
 
     See Also
     --------
@@ -1995,14 +1995,14 @@ def clip(a, a_min, a_max, out=None, **kwargs):
     ----------
     a : array_like
         Array containing elements to clip.
-    a_min : scalar or array_like or `None`
-        Minimum value. If `None`, clipping is not performed on lower
+    a_min : scalar or array_like or None
+        Minimum value. If None, clipping is not performed on lower
         interval edge. Not more than one of `a_min` and `a_max` may be
-        `None`.
-    a_max : scalar or array_like or `None`
-        Maximum value. If `None`, clipping is not performed on upper
+        None.
+    a_max : scalar or array_like or None
+        Maximum value. If None, clipping is not performed on upper
         interval edge. Not more than one of `a_min` and `a_max` may be
-        `None`. If `a_min` or `a_max` are array_like, then the three
+        None. If `a_min` or `a_max` are array_like, then the three
         arrays will be broadcasted to match their shapes.
     out : ndarray, optional
         The results will be placed in this array. It may be the input
@@ -2206,7 +2206,7 @@ def any(a, axis=None, out=None, keepdims=np._NoValue):
         Input array or object that can be converted to an array.
     axis : None or int or tuple of ints, optional
         Axis or axes along which a logical OR reduction is performed.
-        The default (`axis` = `None`) is to perform a logical OR over all
+        The default (``axis=None``) is to perform a logical OR over all
         the dimensions of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
 
@@ -2292,7 +2292,7 @@ def all(a, axis=None, out=None, keepdims=np._NoValue):
         Input array or object that can be converted to an array.
     axis : None or int or tuple of ints, optional
         Axis or axes along which a logical AND reduction is performed.
-        The default (`axis` = `None`) is to perform a logical AND over all
+        The default (``axis=None``) is to perform a logical AND over all
         the dimensions of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
 
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 6d25f864b..833dd9e47 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -292,7 +292,7 @@ def full(shape, fill_value, dtype=None, order='C'):
     fill_value : scalar
         Fill value.
     dtype : data-type, optional
-        The desired data-type for the array  The default, `None`, means
+        The desired data-type for the array  The default, None, means
          `np.array(fill_value).dtype`.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- or Fortran-contiguous
diff --git a/numpy/core/shape_base.py b/numpy/core/shape_base.py
index d7e769e62..369d956fb 100644
--- a/numpy/core/shape_base.py
+++ b/numpy/core/shape_base.py
@@ -472,7 +472,7 @@ def _block_check_depths_match(arrays, parent_index=[]):
     first_index : list of int
         The full index of an element from the bottom of the nesting in
         `arrays`. If any element at the bottom is an empty list, this will
-        refer to it, and the last index along the empty axis will be `None`.
+        refer to it, and the last index along the empty axis will be None.
     max_arr_ndim : int
         The maximum of the ndims of the arrays nested in `arrays`.
     final_size: int