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-rw-r--r--doc/source/reference/arrays.ndarray.rst4
1 files changed, 3 insertions, 1 deletions
diff --git a/doc/source/reference/arrays.ndarray.rst b/doc/source/reference/arrays.ndarray.rst
index 47692c8b4..59a925e47 100644
--- a/doc/source/reference/arrays.ndarray.rst
+++ b/doc/source/reference/arrays.ndarray.rst
@@ -37,7 +37,7 @@ objects implementing the :class:`buffer` or :ref:`array
>>> x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
>>> type(x)
- <type 'numpy.ndarray'>
+ <class 'numpy.ndarray'>
>>> x.shape
(2, 3)
>>> x.dtype
@@ -47,6 +47,7 @@ objects implementing the :class:`buffer` or :ref:`array
>>> # The element of x in the *second* row, *third* column, namely, 6.
>>> x[1, 2]
+ 6
For example :ref:`slicing <arrays.indexing>` can produce views of
the array:
@@ -371,6 +372,7 @@ Many of these methods take an argument named *axis*. In such cases,
A 3-dimensional array of size 3 x 3 x 3, summed over each of its
three axes
+ >>> x = np.arange(27).reshape((3,3,3))
>>> x
array([[[ 0, 1, 2],
[ 3, 4, 5],