Ask how to load data in python.
The data to be read is in the format 10f8.3 in the format Fortran 80 column, as shown below.
0.01000.01000.0240.027-0.0260.020-0.119-0.154
-0.015 -0.081 -0.045 -0.016 -0.163 -0.179 -0.128 -0.104 -0.091 -0.164
-0.216 -0.159 -0.212 -0.290 -0.169 -0.267 -0.288 -0.203 -0.304 -0.348
-0.259 -0.284 -0.356 -0.261 -0.294 -0.260 -0.229 -0.259 -0.174 -0.240
-0.231 -0.194 -0.162 -0.253 -0.264 -0.216 -0.248 -0.168 -0.227 -0.265
.....
and 5000 pieces of data.
I'd like to read 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 in the column direction and put them in the array.
What should I do?
Do you like numpy?Should I use Pandas?
Thank you very much for letting me know.
d=[l[s:s+8]for sin range(0,len(l),8)]for lin open('g:\\data.txt').read().splitlines()]
list = [flatten for inner ind for flatten inner]
f_float=map(float,list)
I heard that you were able to get a one-dimensional list of float type in .
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