如何从Unicode(UTF-8)CSV文件导入numpy数组 [英] how do i import from a unicode (utf-8) csv file into a numpy array

问题描述

我不是要聪明或快速地做到这一点，而只是想做到这一点.

im not trying to do this smart or fast, just trying to do it at all.

我有一个看起来像这样的文件:

i have a file looks like this :

$ cat all_user_token_counts.csv  
@5raphaels,in,15
@5raphaels,for,15
@5raphaels,unless,11
@5raphaels,you,11

我知道它的未编码utf-8编码是因为我创建了它，就像这样

i know its uncode utf-8 encoded because i created it, like this

    debug('opening ' + ALL_USER_TOKEN_COUNTS_FILE)
    file = codecs.open(ALL_USER_TOKEN_COUNTS_FILE, encoding="utf-8",mode= "w")
    for (user, token) in tokenizer.get_tokens_from_all_files():
        #... count tokens ..
        file.write(unicode(username +","+ token +","+ str(count) +"\r\n"))

我想将其读取到一个numpy数组中，使其看起来像这样或类似的东西.

i want to read it in to a numpy array so it looks like this, or something..

   array([[u'@5raphaels', u'in', 15],
          [u'@5raphaels', u'for', 11],
          [u'@5raphaels', u'unless', 11]], 
          dtype=('<U10', '<U10', int))

在我尝试编写此问题的过程中，我发现它甚至可能无法实现?如果是这样，我很想知道！

As i experiment in process of writing this question it comes to me that it may not even be possible? If so, I'd love to know!

提前谢谢！

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