python Method to read an txt file as np.array

The original file:

7.8094,1.0804,5.7632,0.012269,0.008994,-0.003469,-0.79279,-0.064686,0.11635,0.68827,5.7169,7.9329,0.010264,0.003557,-0.011691,-0.57559,-0.56121,

The original file has a large number of data, which is 125 lines and 45 float numbers.

Code:

# -*- coding: utf-8 -*-
import numpy as np

def readFile(path):
 #  Open the file (note the path) 
 f = open(path)
 #  Line by line 
 first_ele = True
 for data in f.readlines():
  ##  Remove the newline character from each line, "\n"
  data = data.strip('\n')
  ##  In accordance with the   Spaces are separated. 
  nums = data.split(',')
  ##  Added to the  matrix  In the. 
  if first_ele:
   ###  To join the  matrix  In the   . 
   matrix = np.array(nums)
   first_ele = False
  else:
   matrix = np.c_[matrix,nums]
 matrix = matrix.transpose()
 a = []
 for x in range(0,125):
  result = [float(item) for item in matrix[x]]
  a.append(result)
 arr=np.array(a)
 f.close()
 print(arr)
 return arr
# test.
if __name__ == '__main__':
 readFile(" ~ /s01.txt")

Output:

[[ 8.1305 1.0349 5.4217 ..., 0.74017 0.30053 -0.05773 ]
 [ 8.1305 1.0202 5.3843 ..., 0.73937 0.30183 -0.057514]
 [ 8.1604 1.0201 5.3622 ..., 0.73955 0.30052 -0.057219]
 ..., 
 [ 7.9517 1.1466 5.6081 ..., 0.73945 0.30342 -0.056789]
 [ 7.9743 1.1542 5.5038 ..., 0.7403 0.30027 -0.056704]
 [ 7.9812 1.0945 5.6005 ..., 0.73897 0.30275 -0.056262]]
Process finished with exit code 0