genfromtxt does not handle single value missing_values (Trac #1722) #2317
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This behavior also affects filling_values alone. The default settings for missing_values locates them in all columns, but using a single value filling_values, like |
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Still present in 1.9-devel. |
seberg
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Aug 16, 2014
BUG: io: genfromtxt did not handle filling_values=0 correctly. Closes gh-2317.
juliantaylor
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Oct 26, 2014
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Original ticket http://projects.scipy.org/numpy/ticket/1722 on 2011-01-25 by @jseabold, assigned to unknown.
from StringIO import StringIO
import numpy as np
data = "1, 2, 3\n4, ,5"
np.genfromtxt(StringIO(data), delimiter=",", names="a,b,c",
missing_values=" ", filling_values=0)
array([(1.0, 2.0, 3.0), (4.0, nan, 5.0)],
dtype=[('a', '<f8'), ('b', '<f8'), ('c', '<f8')])
np.genfromtxt(StringIO(data), delimiter=",", names="a,b,c",
missing_values={'b':" "}, filling_values={'b' : 0})
array([(1.0, 2.0, 3.0), (4.0, 0.0, 5.0)],
dtype=[('a', '<f8'), ('b', '<f8'), ('c', '<f8')])
Unless I use the dict for missing_values, it doesn't fill them in.
Without named columns
np.genfromtxt(StringIO(data), delimiter=",", missing_values=" ",
filling_values=0)
array([[ 1., 2., 3.],
[ 4., nan, 5.]])
np.genfromtxt(StringIO(data), delimiter=",", missing_values={1 :" "},
filling_values={1 :0})
array([[ 1., 2., 3.],
[ 4., 0., 5.]])
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