From e4f233ecfedd2aafa258db2d3ae27e30604cc020 Mon Sep 17 00:00:00 2001
From: Paul Ivanov <paul.ivanov@local>
Date: Mon, 28 Dec 2009 20:49:52 +0000
Subject: fixed a whole bunch of doctests

---
 numpy/doc/basics.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

(limited to 'numpy/doc/basics.py')

diff --git a/numpy/doc/basics.py b/numpy/doc/basics.py
index d34c1f303..5e7291957 100644
--- a/numpy/doc/basics.py
+++ b/numpy/doc/basics.py
@@ -67,6 +67,7 @@ functions or methods accept. Some examples::
     >>> y
     array([1, 2, 4])
     >>> z = np.arange(3, dtype=np.uint8)
+    >>> z
     array([0, 1, 2], dtype=uint8)
 
 Array types can also be referred to by character codes, mostly to retain
@@ -81,8 +82,8 @@ We recommend using dtype objects instead.
 To convert the type of an array, use the .astype() method (preferred) or
 the type itself as a function. For example: ::
 
-    >>> z.astype(float)
-    array([0.,  1.,  2.])
+    >>> z.astype(float)                 #doctest: +NORMALIZE_WHITESPACE
+    array([  0.,  1.,  2.])
     >>> np.int8(z)
     array([0, 1, 2], dtype=int8)
 
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