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 npdef 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

以上这篇python将txt文件读入为np.array的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。