[英]Unexpected output while reading a csv file in a for loop
import csv
if __name__ == "__main__":
words = ["great" , "thanks"]
with open("data/sentiwordnet.tsv", "r") as f:
reader = csv.DictReader(f,delimiter='\t')
for word in xrange(len(words)):
for row in reader:
if row['word_en'] == words[word]:
print float(row["positive"])
print float(row["negative"])
print row["synset"]
Results: 结果:
0.75
0.0
124567
The results above are only for the 1st word, ie "great". 上面的结果仅适用于第一个单词,即“伟大”。 The loop ends here - it doesn't go on to the next word.
循环到此结束-不会继续到下一个单词。
Once you iterate through the rows in reader
, it won't magically restart. 一旦您遍历了
reader
的行,就不会神奇地重新启动。 Swap the for
loops so that you iterate only once through reader
: 交换
for
循环,以便您仅通过reader
迭代一次:
for row in reader:
for word in xrange(len(words)):
I'd just avoid iterating twice by just checking if each word is in a set of words you're interested in. It'll run faster: 我只是通过检查每个单词是否在您感兴趣的一组单词中来避免重复两次。它将运行得更快:
import csv
if __name__ == "__main__":
words = {"great" , "thanks"} # sets are faster than lists for checking containment
with open("data/sentiwordnet.tsv", "r") as f:
reader = csv.DictReader(f, delimiter='\t')
for row in reader:
if row['word_en'] in words:
print float(row["positive"])
print float(row["negative"])
print row["synset"]
You may also want to consider using a package like pandas for working with tables, it usually makes your life easier. 您可能还需要考虑使用像pandas这样的程序包来处理表格,这通常会使您的生活更轻松。
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