DOC: remove 0 aliases, fix references

1 files changed, 9 insertions, 9 deletions

diff --git a/numpy/core/_add_newdocs_scalars.py b/numpy/core/_add_newdocs_scalars.py
index 2339c0d17..12f30712a 100644
--- a/numpy/core/_add_newdocs_scalars.py
+++ b/numpy/core/_add_newdocs_scalars.py
@@ -176,11 +176,11 @@ add_newdoc_for_scalar_type('object_', [],
     Any Python object.
     """)
 
-add_newdoc_for_scalar_type('str_', ['str0', 'unicode_'],
+add_newdoc_for_scalar_type('str_', ['unicode_'],
     r"""
     A unicode string.
 
-    When used in array, this type strips trailing nulls.
+    When used in arrays, this type strips trailing null codepoints.
 
     Unlike the builtin `str`, this supports the buffer protocol, exposing its
     contents as UCS4:
@@ -189,21 +189,21 @@ add_newdoc_for_scalar_type('str_', ['str0', 'unicode_'],
     b'a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00d\x00\x00\x00'
     """)
 
-add_newdoc_for_scalar_type('bytes_', ['bytes0'],
+add_newdoc_for_scalar_type('bytes_', ['string_'],
     r"""
     A byte string.
 
-    When used in array, this type strips trailing nulls.
+    When used in arrays, this type strips trailing null bytes.
     """)
 
-add_newdoc_for_scalar_type('void', ['void0'],
+add_newdoc_for_scalar_type('void', [],
     """
     Either an opaque sequence of bytes, or a structure.
     
     >>> np.void(b'abcd')
     void(b'\x61\x62\x63\x64')
     
-    Structured `void` scalars can only be constructed via extraction from `structured_arrays`:
+    Structured `void` scalars can only be constructed via extraction from :ref:`structured_arrays`:
     
     >>> arr = np.array((1, 2), dtype=[('x', np.int8), ('y', np.int8)])
     >>> arr[()]
@@ -219,14 +219,14 @@ add_newdoc_for_scalar_type('datetime64', [],
     >>> np.datetime64(10, 'D')
     numpy.datetime64('1970-01-11')
     
-    See `arrays.datetime` for more information.
+    See :ref:`arrays.datetime` for more information.
     """)
 
 add_newdoc_for_scalar_type('timedelta64', [],
     """
     A timedelta stored as a 64-bit integer.
     
-    See `arrays.datetime` for more information.
+    See :ref:`arrays.datetime` for more information.
     """)
 
 # TODO: work out how to put this on the base class, np.floating
@@ -237,7 +237,7 @@ for float_name in ('half', 'single', 'double', 'longdouble'):
 
         Return a pair of integers, whose ratio is exactly equal to the original
         floating point number, and with a positive denominator.
-        Raise OverflowError on infinities and a ValueError on NaNs.
+        Raise `OverflowError` on infinities and a `ValueError` on NaNs.
 
         >>> np.{ftype}(10.0).as_integer_ratio()
         (10, 1)