[英]Dropping multiple columns in a pandas dataframe between two columns based on column names
A super simple question, for which I cannot find an answer.一个超级简单的问题,我找不到答案。
I have a dataframe with 1000+ columns and cannot drop by column number, I do not know them.我有一个包含 1000 多列的数据框,不能按列号删除,我不知道。 I want to drop all columns between two columns, based on their names.我想根据名称删除两列之间的所有列。
foo = foo.drop(columns = ['columnWhatever233':'columnWhatever826'])
does not work.不起作用。 I tried several other options, but do not see a simple solution.我尝试了其他几个选项,但没有看到简单的解决方案。 Thanks!谢谢!
You can use .loc
with column range.您可以将.loc
与列范围一起使用。 For example if you have this dataframe:例如,如果您有此数据框:
A B C D E
0 1 3 3 6 0
1 2 2 4 9 1
2 3 1 5 8 4
Then to delete columns B
to D
:然后删除列B
到D
:
df = df.drop(columns=df.loc[:, "B":"D"].columns)
print(df)
Prints:印刷:
A E
0 1 0
1 2 1
2 3 4
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