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-rw-r--r--numpy/core/ma.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/core/ma.py b/numpy/core/ma.py
index 5bd7ed7d2..fc1e89d7b 100644
--- a/numpy/core/ma.py
+++ b/numpy/core/ma.py
@@ -2101,7 +2101,7 @@ def diagonal(a, k = 0, axis1=0, axis2=1):
return masked_array(d, m)
else:
return masked_array(d, fromnumeric.diagonal(m, k, axis1, axis2))
-
+
def trace (a, offset=0, axis1=0, axis2=1, dtype=None, out=None):
"""trace(a,offset=0, axis1=0, axis2=1) returns the sum along diagonals
(defined by the last two dimenions) of the array.
@@ -2177,7 +2177,7 @@ array.choose = _m(_choose)
del _choose
def _clip(self,a_min,a_max,out=None):
- return MaskedArray(data = self.data.clip(asarray(a_min).data,
+ return MaskedArray(data = self.data.clip(asarray(a_min).data,
asarray(a_max).data),
mask = mask_or(self.mask,
mask_or(getmask(a_min),getmask(a_max))))
@@ -2215,7 +2215,7 @@ array.getfield = _m(not_implemented)
def _max(a, axis=None, out=None):
if out is not None:
- raise TypeError("Output arrays Unsupported for masked arrays")
+ raise TypeError("Output arrays Unsupported for masked arrays")
if axis is None:
return maximum(a)
else:
@@ -2254,7 +2254,7 @@ def _squeeze(self):
except AttributeError:
result = _wrapit(self, 'squeeze')
return result
-array.squeeze = _m(_squeeze)
+array.squeeze = _m(_squeeze)
array.strides = property(_m(not_implemented))
array.sum = _m(sum)