I have a text file which have 541 lists and each list has 280 numbers such as below:
[301.82779832839964, 301.84247725804647, 301.85718673070272, ..., 324.4056396484375, 324.20379638671875, 324.00198364257812]
.
.
[310.6907599572782, 310.68334604280966, 310.67756809346469,..., 324.23541883368551, 324.18277040240207, 324.09177971086382]
To read this text file, I used numpy.genfromtxt making a code to read the first list for the test such as:
pt1 = np.genfromtxt(filn1,dtype=np.float64,delimiter=",")
print pt1[0].shape
print list(pt1[0])
I expected that I could see the full list of the first list but the result list showed 'nan' in the first and the last place as below:
[nan, 301.84247725804647, 301.85718673070272, ..., 324.4056396484375, 324.20379638671875, nan]
I have tried other option in numpy.genfromtxt, I couldn't find why it resulted 'nan' in the first and the last place in the list. This event was not only for the first list, but also for all lists.
Any idea or help would be really appreciated.
Thank you,
Isaac
import numpy as np
from ast import literal_eval
pt1 = np.array(map(literal_eval,open("in.txt")))
For:
[301.82779832839964, 301.84247725804647, 301.85718673070272, 324.4056396484375, 324.20379638671875, 324.00198364257812]
[310.6907599572782, 310.68334604280966, 310.67756809346469, 324.23541883368551, 324.18277040240207, 324.09177971086382]
You will get:
[[ 301.82779833 301.84247726 301.85718673 324.40563965 324.20379639
324.00198364]
[ 310.69075996 310.68334604 310.67756809 324.23541883 324.1827704
324.09177971]]