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-rw-r--r--numpy/core/arrayprint.py8
-rw-r--r--numpy/core/fromnumeric.py10
-rw-r--r--numpy/core/numeric.py8
-rw-r--r--numpy/core/numerictypes.py2
-rw-r--r--numpy/core/records.py8
-rw-r--r--numpy/core/shape_base.py2
6 files changed, 19 insertions, 19 deletions
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index a28b5a89e..fefcb6493 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -114,13 +114,13 @@ def set_printoptions(precision=None, threshold=None, edgeitems=None,
Floating point precision can be set:
>>> np.set_printoptions(precision=4)
- >>> print np.array([1.123456789])
+ >>> print(np.array([1.123456789]))
[ 1.1235]
Long arrays can be summarised:
>>> np.set_printoptions(threshold=5)
- >>> print np.arange(10)
+ >>> print(np.arange(10))
[0 1 2 ..., 7 8 9]
Small results can be suppressed:
@@ -420,8 +420,8 @@ def array2string(a, max_line_width=None, precision=None,
Examples
--------
>>> x = np.array([1e-16,1,2,3])
- >>> print np.array2string(x, precision=2, separator=',',
- ... suppress_small=True)
+ >>> print(np.array2string(x, precision=2, separator=',',
+ ... suppress_small=True))
[ 0., 1., 2., 3.]
>>> x = np.arange(3.)
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 197513294..7d2078adf 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -1434,20 +1434,20 @@ def ravel(a, order='C'):
It is equivalent to ``reshape(-1, order=order)``.
>>> x = np.array([[1, 2, 3], [4, 5, 6]])
- >>> print np.ravel(x)
+ >>> print(np.ravel(x))
[1 2 3 4 5 6]
- >>> print x.reshape(-1)
+ >>> print(x.reshape(-1))
[1 2 3 4 5 6]
- >>> print np.ravel(x, order='F')
+ >>> print(np.ravel(x, order='F'))
[1 4 2 5 3 6]
When ``order`` is 'A', it will preserve the array's 'C' or 'F' ordering:
- >>> print np.ravel(x.T)
+ >>> print(np.ravel(x.T))
[1 4 2 5 3 6]
- >>> print np.ravel(x.T, order='A')
+ >>> print(np.ravel(x.T, order='A'))
[1 2 3 4 5 6]
When ``order`` is 'K', it will preserve orderings that are neither 'C'
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 3b442ea78..4f3d418e6 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -1808,7 +1808,7 @@ def set_string_function(f, repr=True):
>>> a = np.arange(10)
>>> a
HA! - What are you going to do now?
- >>> print a
+ >>> print(a)
[0 1 2 3 4 5 6 7 8 9]
We can reset the function to the default:
@@ -2710,7 +2710,7 @@ def seterrcall(func):
Callback upon error:
>>> def err_handler(type, flag):
- ... print "Floating point error (%s), with flag %s" % (type, flag)
+ ... print("Floating point error (%s), with flag %s" % (type, flag))
...
>>> saved_handler = np.seterrcall(err_handler)
@@ -2729,7 +2729,7 @@ def seterrcall(func):
>>> class Log(object):
... def write(self, msg):
- ... print "LOG: %s" % msg
+ ... print("LOG: %s" % msg)
...
>>> log = Log()
@@ -2787,7 +2787,7 @@ def geterrcall():
>>> oldsettings = np.seterr(all='call')
>>> def err_handler(type, flag):
- ... print "Floating point error (%s), with flag %s" % (type, flag)
+ ... print("Floating point error (%s), with flag %s" % (type, flag))
>>> oldhandler = np.seterrcall(err_handler)
>>> np.array([1, 2, 3]) / 0.0
Floating point error (divide by zero), with flag 1
diff --git a/numpy/core/numerictypes.py b/numpy/core/numerictypes.py
index 7dc6e0bd8..1b6551e6c 100644
--- a/numpy/core/numerictypes.py
+++ b/numpy/core/numerictypes.py
@@ -822,7 +822,7 @@ def sctype2char(sctype):
Examples
--------
>>> for sctype in [np.int32, np.float, np.complex, np.string_, np.ndarray]:
- ... print np.sctype2char(sctype)
+ ... print(np.sctype2char(sctype))
l
d
D
diff --git a/numpy/core/records.py b/numpy/core/records.py
index b07755384..ca6070cf7 100644
--- a/numpy/core/records.py
+++ b/numpy/core/records.py
@@ -567,7 +567,7 @@ def fromarrays(arrayList, dtype=None, shape=None, formats=None,
>>> x2=np.array(['a','dd','xyz','12'])
>>> x3=np.array([1.1,2,3,4])
>>> r = np.core.records.fromarrays([x1,x2,x3],names='a,b,c')
- >>> print r[1]
+ >>> print(r[1])
(2, 'dd', 2.0)
>>> x1[1]=34
>>> r.a
@@ -643,7 +643,7 @@ def fromrecords(recList, dtype=None, shape=None, formats=None, names=None,
>>> r=np.core.records.fromrecords([(456,'dbe',1.2),(2,'de',1.3)],
... names='col1,col2,col3')
- >>> print r[0]
+ >>> print(r[0])
(456, 'dbe', 1.2)
>>> r.col1
array([456, 2])
@@ -651,7 +651,7 @@ def fromrecords(recList, dtype=None, shape=None, formats=None, names=None,
array(['dbe', 'de'],
dtype='|S3')
>>> import pickle
- >>> print pickle.loads(pickle.dumps(r))
+ >>> print(pickle.loads(pickle.dumps(r)))
[(456, 'dbe', 1.2) (2, 'de', 1.3)]
"""
@@ -736,7 +736,7 @@ def fromfile(fd, dtype=None, shape=None, offset=0, formats=None,
>>> fd.seek(0)
>>> r=np.core.records.fromfile(fd, formats='f8,i4,a5', shape=10,
... byteorder='<')
- >>> print r[5]
+ >>> print(r[5])
(0.5, 10, 'abcde')
>>> r.shape
(10,)
diff --git a/numpy/core/shape_base.py b/numpy/core/shape_base.py
index 0dd2e164a..599b48d82 100644
--- a/numpy/core/shape_base.py
+++ b/numpy/core/shape_base.py
@@ -150,7 +150,7 @@ def atleast_3d(*arys):
True
>>> for arr in np.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]):
- ... print arr, arr.shape
+ ... print(arr, arr.shape)
...
[[[1]
[2]]] (1, 2, 1)