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







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