使用np.savetxt来保存包含string和float的结构化numpy数组

I have a numpy structured array which contains string and float. I want to save this structured array as it is into a csv file. The simplified version of my procedure is like this.

我有一个numpy结构化数组，其中包含字符串和浮点数。我想将这个结构化数组保存到csv文件中。我的程序的简化版本是这样的。

    structured_array = np.zeros((1,), dtype=[('string','a20'),('float','f8')])
    structured_array['string'] = 'string'
    structured_array['float'] = 0.0
    np.savetxt('foo.csv', structured_array, delimiter=',',fmt='%s,%f')

I would expect string,0.000000 in foo.csv, but it gives me b'string',0.000000 where does this quotation mark and this b comes from? How can I get rid of it?

我希望foo.csv中的字符串为0.000000，但是它给了我字符串'，0.000000这个引号是什么，这个b来自哪里？我怎么能摆脱它？

I can use readline() and manually get rid of this but is there any clever way to do this.

我可以使用readline（）并手动摆脱这个，但有任何聪明的方法来做到这一点。

Thank you very much.

非常感谢你。

1 个解决方案

#1

Line 1087 in savetxt (...\lib\site-packages\numpy\lib\npio.py) has

savetxt（... \ lib \ site-packages \ numpy \ lib \ npio.py）中的第1087行有

for row in X:
    fh.write(asbytes(format % tuple(row) + newline))

Which reveals that columns are converted to bytes before writing (hence the b prefix. It doesn't appear that this can be changed.

这表明在写入之前将列转换为字节（因此是b前缀。看起来这似乎不会改变。

#1