I have the following textfile:
13,1980,0,1,0,0,14,0,1.1975401639938354,1
13,1981,0,2,0,0,14,1,1.853060007095337,4
13,1982,0,3,0,0,14,0,1.3444616794586182,9
13,1983,0,4,0,0,14,0,1.4332133531570435,16
13,1984,0,5,0,0,14,0,1.5681251287460327,25
13,1985,0,6,0,0,14,0,1.6998909711837769,36
13,1986,0,7,0,0,14,0,-0.7202625870704651,49
When I try to load it into Jupyter Notebook in python:
data = np.loadtxt("/filepath/wagepan.txt")
I get the following error:
ValueError: could not convert string to float: '13,1980,0,1,0,0,14,0,1.1975401639938354,1'
Does anyone have any idea how to fix this? I tried looking at other posts, but the issue was not similar.
CodePudding user response:
Use the delimiter
argument to define the delimiter.
import numpy as np
data = np.loadtxt("data.dat", delimiter=",")
print(data)
Output:
[[ 1.30000000e 01 1.98000000e 03 0.00000000e 00 1.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
1.19754016e 00 1.00000000e 00]
[ 1.30000000e 01 1.98100000e 03 0.00000000e 00 2.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 1.00000000e 00
1.85306001e 00 4.00000000e 00]
[ 1.30000000e 01 1.98200000e 03 0.00000000e 00 3.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
1.34446168e 00 9.00000000e 00]
[ 1.30000000e 01 1.98300000e 03 0.00000000e 00 4.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
1.43321335e 00 1.60000000e 01]
[ 1.30000000e 01 1.98400000e 03 0.00000000e 00 5.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
1.56812513e 00 2.50000000e 01]
[ 1.30000000e 01 1.98500000e 03 0.00000000e 00 6.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
1.69989097e 00 3.60000000e 01]
[ 1.30000000e 01 1.98600000e 03 0.00000000e 00 7.00000000e 00
0.00000000e 00 0.00000000e 00 1.40000000e 01 0.00000000e 00
-7.20262587e-01 4.90000000e 01]]