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")
The error is:
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
Try to this.
sorted_words = ''.join(sorted(scores.items(), reverse=True))
As you dont specify in your post, I dont know which is the separator between values of the tuple, so I added a '\n'
. You can change that to ' '
or whatever you want.
final = open("tfidf.csv", "w").write('\n'.join('%s, %s' % x for x in sorted_words))
来源:https://stackoverflow.com/questions/30612799/typeerror-must-be-str-not-list