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-rw-r--r--numpy/lib/function_base.py33
1 files changed, 16 insertions, 17 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index fe6e67903..e8df0b439 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -471,7 +471,7 @@ def average(a, axis=None, weights=None, returned=False):
Examples
--------
- >>> average(range(1,11), weights=range(10,0,-1))
+ >>> np.average(range(1,11), weights=range(10,0,-1))
4.0
Raises
@@ -893,7 +893,7 @@ def trim_zeros(filt, trim='fb'):
Examples
--------
- >>> a = array((0, 0, 0, 1, 2, 3, 2, 1, 0))
+ >>> a = np.array((0, 0, 0, 1, 2, 3, 2, 1, 0))
>>> np.trim_zeros(a)
array([1, 2, 3, 2, 1])
@@ -1069,7 +1069,7 @@ class vectorize(object):
... else:
... return a+b
- >>> vfunc = vectorize(myfunc)
+ >>> vfunc = np.vectorize(myfunc)
>>> vfunc([1, 2, 3, 4], 2)
array([3, 4, 1, 2])
@@ -1486,29 +1486,28 @@ def median(a, axis=0, out=None, overwrite_input=False):
Examples
--------
- >>> from numpy import median
>>> a = np.array([[10, 7, 4], [3, 2, 1]])
>>> a
array([[10, 7, 4],
[ 3, 2, 1]])
- >>> median(a)
+ >>> np.median(a)
array([ 6.5, 4.5, 2.5])
- >>> median(a, axis=None)
+ >>> np.median(a, axis=None)
3.5
- >>> median(a, axis=1)
+ >>> np.median(a, axis=1)
array([ 7., 2.])
- >>> m = median(a)
+ >>> m = np.median(a)
>>> out = np.zeros_like(m)
- >>> median(a, out=m)
+ >>> np.median(a, out=m)
array([ 6.5, 4.5, 2.5])
>>> m
array([ 6.5, 4.5, 2.5])
>>> b = a.copy()
- >>> median(b, axis=1, overwrite_input=True)
+ >>> np.median(b, axis=1, overwrite_input=True)
array([ 7., 2.])
>>> assert not np.all(a==b)
>>> b = a.copy()
- >>> median(b, axis=None, overwrite_input=True)
+ >>> np.median(b, axis=None, overwrite_input=True)
3.5
>>> assert not np.all(a==b)
"""
@@ -1632,11 +1631,11 @@ def delete(arr, obj, axis=None):
... [1,2,3],
... [6,7,8]]
- >>> delete(arr, 1, 1)
+ >>> np.delete(arr, 1, 1)
array([[3, 5],
[1, 3],
[6, 8]])
- >>> delete(arr, 1, 0)
+ >>> np.delete(arr, 1, 0)
array([[3, 4, 5],
[6, 7, 8]])
"""
@@ -1732,11 +1731,11 @@ def insert(arr, obj, values, axis=None):
Examples
--------
- >>> a = array([[1,2,3],
- ... [4,5,6],
- ... [7,8,9]])
+ >>> a = np.array([[1,2,3],
+ ... [4,5,6],
+ ... [7,8,9]])
- >>> insert(a, [1,2], [[4],[5]], axis=0)
+ >>> np.insert(a, [1,2], [[4],[5]], axis=0)
array([[1, 2, 3],
[4, 4, 4],
[4, 5, 6],