pandas 通过熊猫删除两列具有相同值的行
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时间：2020-09-14 03:35:48 来源:igfitidea点击:
Remove rows that two columns have the same values by pandas
提问by Hyman
Input：
输入：
S T W U
0 A A 1 Undirected
1 A B 0 Undirected
2 A C 1 Undirected
3 B A 0 Undirected
4 B B 1 Undirected
5 B C 1 Undirected
6 C A 1 Undirected
7 C B 1 Undirected
8 C C 1 Undirected
Output：
输出：
S T W U
1 A B 0 Undirected
2 A C 1 Undirected
3 B A 0 Undirected
5 B C 1 Undirected
6 C A 1 Undirected
7 C B 1 Undirected
For column S and T ,rows(0,4,8) have same values. I want to drop these rows.
对于列 S 和 T ，rows(0,4,8) 具有相同的值。我想删除这些行。
Trying:
试：
I used df.drop_duplicates(['S','T']but failed, how could I get the results.
我用过df.drop_duplicates(['S','T']但失败了，我怎么能得到结果。
回答by jezrael
You need boolean indexing:
你需要boolean indexing：
print (df['S'] != df['T'])
0 False
1 True
2 True
3 True
4 False
5 True
6 True
7 True
8 False
dtype: bool
df = df[df['S'] != df['T']]
print (df)
S T W U
1 A B 0 Undirected
2 A C 1 Undirected
3 B A 0 Undirected
5 B C 1 Undirected
6 C A 1 Undirected
7 C B 1 Undirected
Or query:
或query：
df = df.query("S != T")
print (df)
S T W U
1 A B 0 Undirected
2 A C 1 Undirected
3 B A 0 Undirected
5 B C 1 Undirected
6 C A 1 Undirected
7 C B 1 Undirected
