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-rw-r--r--numpy/ma/core.py20
-rw-r--r--numpy/ma/extras.py2
2 files changed, 11 insertions, 11 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 368abd11d..21c2f44d4 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -1694,7 +1694,7 @@ class MaskedArray(ndarray):
Examples
--------
- >>> x = array([1,2,3,4,5], mask=[0,0,1,0,1], fill_value=-999)
+ >>> x = np.ma.array([1,2,3,4,5], mask=[0,0,1,0,1], fill_value=-999)
>>> x.filled()
array([1,2,-999,4,-999])
>>> type(x.filled())
@@ -2116,10 +2116,10 @@ masked_%(name)s(data = %(data)s,
Example
-------
- >>> array([1,2,3]).all()
+ >>> np.ma.array([1,2,3]).all()
True
- >>> a = array([1,2,3], mask=True)
- >>> (a.all() is masked)
+ >>> a = np.ma.array([1,2,3], mask=True)
+ >>> (a.all() is np.ma.masked)
True
"""
@@ -2293,7 +2293,7 @@ masked_%(name)s(data = %(data)s,
Example
-------
- >>> print array(arange(10),mask=[0,0,0,1,1,1,0,0,0,0]).cumsum()
+ >>> print np.ma.array(np.arange(10), mask=[0,0,0,1,1,1,0,0,0,0]).cumsum()
[0 1 3 -- -- -- 9 16 24 33]
@@ -2348,13 +2348,13 @@ masked_%(name)s(data = %(data)s,
Examples
--------
- >>> prod([1.,2.])
+ >>> np.prod([1.,2.])
2.0
- >>> prod([1.,2.], dtype=int32)
+ >>> np.prod([1.,2.], dtype=np.int32)
2
- >>> prod([[1.,2.],[3.,4.]])
+ >>> np.prod([[1.,2.],[3.,4.]])
24.0
- >>> prod([[1.,2.],[3.,4.]], axis=1)
+ >>> np.prod([[1.,2.],[3.,4.]], axis=1)
array([ 2., 12.])
Notes
@@ -2755,7 +2755,7 @@ masked_%(name)s(data = %(data)s,
Examples
--------
- >>> a = arange(6).reshape(2,3)
+ >>> a = np.arange(6).reshape(2,3)
>>> a.argmax()
5
>>> a.argmax(0)
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index f369180f2..ab24d41c0 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -716,7 +716,7 @@ class mr_class(MAxisConcatenator):
"""Translate slice objects to concatenation along the first axis.
For example:
- >>> mr_[array([1,2,3]), 0, 0, array([4,5,6])]
+ >>> np.ma.mr_[np.ma.array([1,2,3]), 0, 0, np.ma.array([4,5,6])]
array([1, 2, 3, 0, 0, 4, 5, 6])
"""