python将txt文件读入为np.array的方法

原文件：

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,

原文件数据比较多，是一个125行，45类float数字。

代码：

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

def readFile(path):
# 打开文件（注意路径）
f = open(path)
# 逐行进行处理
first_ele = True
for data in f.readlines():
 ## 去掉每行的换行符，"\n"
 data = data.strip('\n')
 ## 按照 空格进行分割。
 nums = data.split(',')
 ## 添加到 matrix 中。
 if first_ele:
  ### 加入到 matrix 中 。
  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")

输出：

[[ 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

来源：https://blog.csdn.net/tream733/article/details/78863760