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authorAlan McIntyre <alan.mcintyre@local>2008-07-03 03:51:46 +0000
committerAlan McIntyre <alan.mcintyre@local>2008-07-03 03:51:46 +0000
commit94bc330296e01d8fc0cb14aba1354ddb6d8587cc (patch)
tree1137428631e3d56ed3251a732e82dfd8778547c0 /numpy/lib/scimath.py
parent24af452d6573d66faedff2b4b98993a8c0664e97 (diff)
downloadnumpy-94bc330296e01d8fc0cb14aba1354ddb6d8587cc.tar.gz
Use the implicit "import numpy as np" made available to all doctests instead of an explicit
import. Remove ">>>" from bartlett plotting example since it currently requires matplotlib.
Diffstat (limited to 'numpy/lib/scimath.py')
-rw-r--r--numpy/lib/scimath.py16
1 files changed, 7 insertions, 9 deletions
diff --git a/numpy/lib/scimath.py b/numpy/lib/scimath.py
index f35c87578..d3965668d 100644
--- a/numpy/lib/scimath.py
+++ b/numpy/lib/scimath.py
@@ -46,8 +46,6 @@ def _tocomplex(arr):
Examples
--------
- >>> import numpy as np
-
First, consider an input of type short:
>>> a = np.array([1,2,3],np.short)
@@ -246,7 +244,7 @@ def log10(x):
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> log10([10**1,10**2])
array([ 1., 2.])
@@ -276,7 +274,7 @@ def logn(n, x):
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> logn(2,[4,8])
array([ 2., 3.])
@@ -306,7 +304,7 @@ def log2(x):
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> log2([4,8])
array([ 2., 3.])
@@ -336,7 +334,7 @@ def power(x, p):
Examples
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> power([2,4],2)
array([ 4, 16])
@@ -368,7 +366,7 @@ def arccos(x):
Examples
--------
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> arccos(1)
0.0
@@ -397,7 +395,7 @@ def arcsin(x):
Examples
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> arcsin(0)
0.0
@@ -426,7 +424,7 @@ def arctanh(x):
Examples
--------
(We set the printing precision so the example can be auto-tested)
- >>> import numpy as np; np.set_printoptions(precision=4)
+ >>> np.set_printoptions(precision=4)
>>> arctanh(0)
0.0