python - Unable to unpack elements in list -

here's mwe of code:

import numpy np  # load data file. data = np.genfromtxt('data_input', dtype=none, unpack=true)  print data 

here's sample of data_input file:

01_500_aa_1000    990.0    990.0   112.5      0.2       72  0  0  1  0  0  0  0  0  0   0   0   0   1 02_500_aa_0950    990.0    990.0   112.5      0.2       77  0  0  1  0  0  0  0  0  0   0   0   0   1 03_500_aa_0600    990.0    990.0   112.5     0.18       84  0  0  1  0  0  0  0  0  0   0   0   0   1 04_500_aa_0700    990.0    990.0   112.5     0.18       84  0  0  1  0  0  0  0  0  0   0   0   0   1 

the unpack argument not appear work since prints:

[ ('01_500_aa_1000', 990.0, 990.0, 112.5, 0.2, 72, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('02_500_aa_0950', 990.0, 990.0, 112.5, 0.2, 77, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('03_500_aa_0600', 990.0, 990.0, 112.5, 0.18, 84, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('04_500_aa_0700', 990.0, 990.0, 112.5, 0.18, 84, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)] 

can reproduce this? doing wrong?

you're getting because genfromtxt returning numpy record array, not list. it's when print() console looks list.

from cstringio import stringio raw = """01_500_aa_1000    990.0    990.0   112.5      0.2       72  0  0  1  0  0  0  0  0  0   0   0   0   1 02_500_aa_0950    990.0    990.0   112.5      0.2       77  0  0  1  0  0  0  0  0  0   0   0   0   1 03_500_aa_0600    990.0    990.0   112.5     0.18       84  0  0  1  0  0  0  0  0  0   0   0   0   1 04_500_aa_0700    990.0    990.0   112.5     0.18       84  0  0  1  0  0  0  0  0  0   0   0   0   1""" sio = stringio(raw) data = genfromtxt(sio, dtype=none, unpack=false) print data print print data.dtype 

gives:

[ ('01_500_aa_1000', 990.0, 990.0, 112.5, 0.2, 72, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('02_500_aa_0950', 990.0, 990.0, 112.5, 0.2, 77, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('03_500_aa_0600', 990.0, 990.0, 112.5, 0.18, 84, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)  ('04_500_aa_0700', 990.0, 990.0, 112.5, 0.18, 84, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1)]  [('f0', 's14'), ('f1', '<f8'), ('f2', '<f8'), ('f3', '<f8'), ('f4', '<f8'), ('f5', '<i8'), ('f6', '<i8'), ('f7', '<i8'), ('f8', '<i8'), ('f9', '<i8'), ('f10', '<i8'), ('f11', '<i8'), ('f12', '<i8'), ('f13', '<i8'), ('f14', '<i8'), ('f15', '<i8'), ('f16', '<i8'), ('f17', '<i8'), ('f18', '<i8')] 

unpack=true , unpack=false appear return same thing because need recarray. suggest try pandas , forget recarrays altogether. can pass recarray pandas.dataframe , get s*** done! example,

df = dataframe(data) print df print print df.f0 

yields:

               f0         f1         f2         f3         f4  f5  f6  f7  f8  \ 0  01_500_aa_1000     990.00     990.00     112.50       0.20  72   0   0   1    1  02_500_aa_0950     990.00     990.00     112.50       0.20  77   0   0   1    2  03_500_aa_0600     990.00     990.00     112.50       0.18  84   0   0   1    3  04_500_aa_0700     990.00     990.00     112.50       0.18  84   0   0   1        f9  f10  f11  f12  f13  f14  f15  f16  f17  f18   0   0    0    0    0    0    0    0    0    0    1   1   0    0    0    0    0    0    0    0    0    1   2   0    0    0    0    0    0    0    0    0    1   3   0    0    0    0    0    0    0    0    0    1    0    01_500_aa_1000 1    02_500_aa_0950 2    03_500_aa_0600 3    04_500_aa_0700 name: f0, dtype: object