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-rw-r--r--numpy/doc/glossary.py17
1 files changed, 9 insertions, 8 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py
index 97b7b3362..794c393f6 100644
--- a/numpy/doc/glossary.py
+++ b/numpy/doc/glossary.py
@@ -48,7 +48,7 @@ Glossary
array([(1, 2.0), (3, 4.0)],
dtype=[('x', '<i4'), ('y', '<f8')])
- Fast element-wise operations, called `ufuncs`_, operate on arrays.
+ Fast element-wise operations, called :term:`ufuncs`, operate on arrays.
array_like
Any sequence that can be interpreted as an ndarray. This includes
@@ -82,7 +82,7 @@ Glossary
array([[4, 5],
[5, 6]])
- See `doc.broadcasting`_ for more information.
+ See `numpy.doc.broadcasting` for more information.
C order
See `row-major`
@@ -155,7 +155,8 @@ Glossary
See `column-major`
flattened
- Collapsed to a one-dimensional array. See `ndarray.flatten`_ for details.
+ Collapsed to a one-dimensional array. See `numpy.ndarray.flatten`
+ for details.
immutable
An object that cannot be modified after execution is called
@@ -284,9 +285,9 @@ Glossary
See *array*.
record array
- An `ndarray`_ with `structured data type`_ which has been subclassed as
- np.recarray and whose dtype is of type np.record, making the
- fields of its data type to be accessible by attribute.
+ An :term:`ndarray` with :term:`structured data type`_ which has been
+ subclassed as ``np.recarray`` and whose dtype is of type ``np.record``,
+ making the fields of its data type to be accessible by attribute.
reference
If ``a`` is a reference to ``b``, then ``(a is b) == True``. Therefore,
@@ -348,10 +349,10 @@ Glossary
>>> x[:, 1]
array([2, 4])
-
+
structured data type
A data type composed of other datatypes
-
+
tuple
A sequence that may contain a variable number of types of any
kind. A tuple is immutable, i.e., once constructed it cannot be