How to read space-separated data into a numpy array?

Question

I have a text file with numbers separated by spaces, such as:

-2 -3 4 -1 -2 1.5 -3

I tried to create an numpy array with the file elements using the following code:

root = tk.Tk()
root.withdraw()
A = np.array([])
arquivox = filedialog.askopenfilename()
# reading datafile
with open(arquivox, "r") as f:
    for termox in f:
        # specifying the separator
        termox = termox.split(' ')
        # converting the elements to float and generating the array
        A = np.append(A, float(termox[0]))
print(A)

However, I am only saving the first element of the file (-2). What am I doing wrong?

Well you're only appending the first element... termox[0]... Maybe you need something more like A = np.array([float(x) for x in termox]) — Tomerikoo
– Tomerikoo, Commented Oct 14, 2020 at 13:01
Here float(termox[0]) you only take the first element (0). — Timus
– Timus, Commented Oct 14, 2020 at 13:01
You have a list of values in termox, yet you're only float/appending the first item in that list. You know how to iterate over an iterable (you're doing it earlier with for termox in f). — jarmod
– jarmod, Commented Oct 14, 2020 at 13:02
Oh, the way I was doing it was like I was waiting for the data to be separated by 'enter'. Thanks guys! — Jacobi
– Jacobi, Commented Oct 14, 2020 at 13:10

Cory Kramer · Accepted Answer · 2020-10-14 13:01:11Z

4

Since you are reading into a numpy.array anyway, I'd suggest using numpy.loadtxt

import numpy as np
A = np.loadtxt(arquivox, delimiter=' ')

answered Oct 14, 2020 at 13:01

Cory Kramer

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