TypeError:必须为str，而不是list [英] TypeError: must be str, not list

问题描述

问题是输出结果未保存在csv文件中. 我正在使用此代码对正负两个单词进行加权处理.我想保存在csv文件中.首先，读取csv文件，应用tf-idf并在shell上输出显示，但是将结果写入csv时错误显示文件.

the problem is output result is not save in csv file. I'm using this code to weight-age the words positive and negative.I want to save in the csv file.Firstly, read the csv file ,apply tf-idf and output display on shell,but error disply when result write in csv file.

for i, blob in enumerate(bloblist):
    print("Top words in document {}".format(i + 1))
    scores = {word: tfidf(word, blob, bloblist) for word in blob.words}
    sorted_words = sorted(scores.items(), reverse=True)
    print(sorted_words)
    final = open("tfidf.csv", "w").write(sorted_words)
    print(final)
    print("done")

错误是:

   Top words in document 1
   Traceback (most recent call last):
   File "C:\Python34\webcrawler-Final.py", line 38, in <module>
   final = open("tfidf.csv", "w").write(sorted_words)
   TypeError: must be str, not list

推荐答案

尝试此操作.

sorted_words = ''.join(sorted(scores.items(), reverse=True))

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