我有一个文本文件，其中包含以下内容:
-11.3815 -14.552 -15.7591 -18.5273 -14.6479 -12.7006 -13.9164 -19.8172 -22.951 -16.5832
-16.555 -17.6044 -15.9577 -15.3363 -17.7223 -18.9881 -22.3789 -24.4881 -16.6685 -17.9475
-18.2015 -15.2949 -15.5407 -18.8215 -24.5371 -17.0939 -15.3251 -13.1195 -13.3332 -19.3353
-14.6149 -14.5243 -15.1842 -15.5911 -14.3217 -15.4211
里面有更多的数据。我想在二维数组中读取它。我尝试了以下方法:
with open('test.txt') as file:
array2d = [[float(digit) for digit in line.strip()] for line in file]
而且似乎正在获得:
ValueError: could not convert string to float: -
知道如何解决这个问题吗？
最佳答案
你必须使用
split()
代替
strip()
因为 strip() 返回一个字符串，所以您要遍历该字符串的每个字符。 split() 返回一个列表，这就是您所需要的。在 Python docs 中阅读更多内容.
代码:
with open('sample.txt') as file:
array2d = [[float(digit) for digit in line.split()] for line in file]
print array2d
输出:
[[-11.3815, -14.552, -15.7591, -18.5273, -14.6479, -12.7006, -13.9164, -19.8172, -22.951, -16.5832], [-16.555, -17.6044, -15.9577, -15.3363, -17.7223, -18.9881, -22.3789, -24.4881, -16.6685, -17.9475], [-18.2015, -15.2949, -15.5407, -18.8215, -24.5371, -17.0939, -15.3251, -13.1195, -13.3332, -19.3353], [-14.6149, -14.5243, -15.1842, -15.5911, -14.3217, -15.4211]]
关于Python Numpy 数组从文本文件读取到二维数组，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/20928892/