numpy.loadtxt(fname, dtype=’float’, comments=’#’, delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0) 

import numpy as gfg
  
  
arr = gfg.random.rand(5, 4, 3)
  
# reshaping the array from 3D
# matrice to 2D matrice.
arr_reshaped = arr.reshape(arr.shape[0], -1)
  
# saving reshaped array to file.
gfg.savetxt("geekfile.txt", arr_reshaped)
  
# retrieving data from file.
loaded_arr = gfg.loadtxt("geekfile.txt")
  
# This loadedArr is a 2D array, therefore
# we need to convert it to the original
# array shape.reshaping to get original
# matrice with original shape.
load_original_arr = loaded_arr.reshape(
    loaded_arr.shape[0], loaded_arr.shape[1] // arr.shape[2], arr.shape[2])
  
# check the shapes:
print("shape of arr: ", arr.shape)
print("shape of load_original_arr: ", load_original_arr.shape)
  
# check if both arrays are same or not:
if (load_original_arr == arr).all():
    print("Yes, both the arrays are same")
else:
    print("No, both the arrays are not same")

shape of arr:  (5, 4, 3)
shape of load_original_arr:  (5, 4, 3)
Yes, both the arrays are same