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author | Andras Deak <deak.andris@gmail.com> | 2018-04-27 14:05:07 +0200 |
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committer | Andras Deak <deak.andris@gmail.com> | 2018-04-27 16:51:50 +0200 |
commit | 92f85239dad607540a1fa3124e41c7b357caf7fe (patch) | |
tree | 582f9f751e91b75e04f4d3a2cf4400d4a1ff8d27 /numpy/lib/npyio.py | |
parent | 79cd01d4e7daaf925d29194ce0cdfa7b14dba85c (diff) | |
download | numpy-92f85239dad607540a1fa3124e41c7b357caf7fe.tar.gz |
DOC: Make doc examples using StringIO python2-3 compatible
Diffstat (limited to 'numpy/lib/npyio.py')
-rw-r--r-- | numpy/lib/npyio.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py index 67585443b..97f50b5d8 100644 --- a/numpy/lib/npyio.py +++ b/numpy/lib/npyio.py @@ -859,18 +859,18 @@ def loadtxt(fname, dtype=float, comments='#', delimiter=None, Examples -------- >>> from io import StringIO # StringIO behaves like a file object - >>> c = StringIO("0 1\\n2 3") + >>> c = StringIO(u"0 1\\n2 3") >>> np.loadtxt(c) array([[ 0., 1.], [ 2., 3.]]) - >>> d = StringIO("M 21 72\\nF 35 58") + >>> d = StringIO(u"M 21 72\\nF 35 58") >>> np.loadtxt(d, dtype={'names': ('gender', 'age', 'weight'), ... 'formats': ('S1', 'i4', 'f4')}) array([('M', 21, 72.0), ('F', 35, 58.0)], dtype=[('gender', '|S1'), ('age', '<i4'), ('weight', '<f4')]) - >>> c = StringIO("1,0,2\\n3,0,4") + >>> c = StringIO(u"1,0,2\\n3,0,4") >>> x, y = np.loadtxt(c, delimiter=',', usecols=(0, 2), unpack=True) >>> x array([ 1., 3.]) @@ -1632,7 +1632,7 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None, Comma delimited file with mixed dtype - >>> s = StringIO("1,1.3,abcde") + >>> s = StringIO(u"1,1.3,abcde") >>> data = np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'), ... ('mystring','S5')], delimiter=",") >>> data @@ -1659,7 +1659,7 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None, An example with fixed-width columns - >>> s = StringIO("11.3abcde") + >>> s = StringIO(u"11.3abcde") >>> data = np.genfromtxt(s, dtype=None, names=['intvar','fltvar','strvar'], ... delimiter=[1,3,5]) >>> data |