numPy在从文件读取负数时给出nan [英] numPy gives nan while reading a negative number from a file

问题描述

我试图读取存储在具有以下值的文本文件中的3x3矩阵的内容.

I tried to read the contents of a 3x3 matrix stored in a text file having the following values.

−30  10  20  
 10  40 −50  
 20 −50 −10

我按如下方式使用numpy.genfromtxt，但是当它给出nan代替负数据值时.

I used numpy.genfromtxt as follows but when it gave nan in place of negative data values.

data = np.genfromtxt('file.txt',delimiter=' ')
print(data)
print(type(data[0][0]))

但是负值的数据类型仍然显示float64:

But the datatype of the negative value still shows float64:

我还尝试将这些值作为列表读取，然后转换为numpy数组，但这也不起作用.

I also tried reading the values as a list and then converting to numpy array but that also didn't work.

还有其他方法可以从文件输入中读取负值作为numpy数组吗?

Is there any other way I can read negative values as a numpy array from a file input?

推荐答案

您的文件中包含U + 2212减号字符，而不是U + 002D HYPHEN-MINUS人们通常认为的减号字符. genfromtxt不处理该字符.在尝试解析数据之前，请用连字符-减号替换减号字符.

You've got U+2212 MINUS SIGN characters in your file, not the U+002D HYPHEN-MINUS people usually think of as the minus sign character. genfromtxt doesn't handle that character. Replace the minus sign characters with hyphen-minuses before trying to parse the data.

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