在 pandas 数据框中删除包含非英语单词的行 [英] dropping row containing non-english words in pandas dataframe

问题描述

我把这个推特语料库变成了熊猫数据框，我试图找到没有英文的tweet并将其从数据框中删除，所以我这样做了:

I turned this twitter corpus into pandas data frame and I was trying to find the none English tweets and delete them from the data frame, so I did this:

for j in range(0,150):
    if not wordnet.synsets(df.i[j]):#Comparing if word is non-English
           df.drop(j)

 print(df.shape)

但是我检查形状，没有行掉落. 我使用drop函数是否错误，还是需要跟踪行的索引?

but I check the shape, no row was dropped. Am I using the drop function wrong, or do I need to keep track of the index of the row?

推荐答案

这是因为df.drop()返回一个副本，而不是修改原始数据帧.尝试设置inplace=True

That's because df.drop() returns a copy instead of modifying your original dataframe. Try set inplace=True

for j in range(0,150):
    if not wordnet.synsets(df.i[j]):#Comparing if word is non-English
           df.drop(j, inplace=True)

print(df.shape)

这篇关于在 pandas 数据框中删除包含非英语单词的行的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！