How can load my text file with float type not string type in python?

Question

It is a txt file with 99255 numbers in a row.

This is some example of txt file :

I want to load these numbers in float type and assign them in np.array form.

Please help. Thank you.

bezirganyan · Accepted Answer · 2020-04-05 18:34:56Z

1

You can use numpy directly

import numpy as np
filename = "/path/to/file"
array = np.loadtxt(filename, np.float)

edited Apr 5, 2020 at 18:34

answered Apr 4, 2020 at 15:50

bezirganyan

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3 Comments

Insung Lee Over a year ago

thanks for your comment. I created an ex.txt file consisting of 1 2 3 4 and tried to substitute your code. But when I try to print to see if it was assigned successfully, I get a strange result like [8.035657e-09 5.517073e-31]. May I ask why this is happening?

bezirganyan Over a year ago

I am sorry for the mistake, the function should be loadtxt not fromfile. I have edited it alreay

bezirganyan Over a year ago

@InsungLee If the answer helped, please consider accepting it

Oprea Catalin · Accepted Answer · 2020-04-04 15:58:33Z

0

Read line by line and convert to float each element. Append them in a list, then convert the list.

import numpy as np

with open(filename, 'r') as f:
    line = f.readLine().strip('\n')
    l = []
    while line:
        l.append(float(line))
        line = f.readLine().strip('\n')

np.asarray(l)

answered Apr 4, 2020 at 15:58

Oprea Catalin

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