Read multiple text files to 2D numpy array in Python

Question

I have 10 txt files. Each of them with strings.

A.txt: "This is a cat"
B.txt: "This is a dog"
.
.
J.txt: "This is an ant"

I want to read these multiple files and put it in 2D array.

[['This', 'is', 'a', 'cat'],['This', 'is', 'a', 'dog']....['This', 'is', 'an', 'ant']]

from glob import glob
import numpy as np
for filename in glob('*.txt'):
    with open(filename) as f:
        data = np.genfromtxt(filename, dtype=str)

It's not working the way I want. Any help will be greatly appreciated.

modesitt · Accepted Answer · 2019-04-22 13:15:48Z

2

You are just generating different numpy arrays for each text file and not saving any of them. How about add each file to a list like so and convert to numpy later?

data = []

for filename in glob('*.txt'):
    with open(filename) as f:
        data.append(f.read().split())

data = np.array(data)

answered Apr 22, 2019 at 13:15

modesitt

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2 Comments

Farah Nazifa Over a year ago

Can you just explain how does it line help? - data.append(f.read().split())

modesitt Over a year ago

it is because we are keeping a list of all of the text in the files. f.read().split() would produce ['This', 'is', 'a', 'cat'] for a file containing 'This is a cat' and so appending that to data gives the desired 2d array

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