Change format for data imported from file in Python -


my data file tab separated , looks this:

196 242 3   881250949 186 302 3   891717742 22  377 1   878887116 244 51  2   880606923 166 346 1   886397596 298 474 4   884182806 115 265 2   881171488 253 465 5   891628467 305 451 3   886324817 ... ... ..  .........

i imported them in python using numpy, here script:

from numpy import loadtxt  np_data = loadtxt('u.data', delimiter='\t', skiprows=0) print(np_data)

i want print see result, gives me different format:

[[  1.96000000e+02   2.42000000e+02   3.00000000e+00   8.81250949e+08]  [  1.86000000e+02   3.02000000e+02   3.00000000e+00   8.91717742e+08]  [  2.20000000e+01   3.77000000e+02   1.00000000e+00   8.78887116e+08]  ...,  [  2.76000000e+02   1.09000000e+03   1.00000000e+00   8.74795795e+08]  [  1.30000000e+01   2.25000000e+02   2.00000000e+00   8.82399156e+08]  [  1.20000000e+01   2.03000000e+02   3.00000000e+00   8.79959583e+08]]

there point . in every number in print(np_data). how format them original data file?

i've solved this, turn out miss dtype argument , script should this:

from numpy import loadtxt  np_data = loadtxt('u.data',dtype=int ,delimiter='\t', skiprows=0) print(np_data)

and done


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