如何基于两列删除重复数据，从而删除熊猫数据框中第三列中最大的列？

Question

Suppose I have a pandas dataframe that is like this:

df=
A  B  6  2
A  C  4  2
D  F  9  3
K  L  8  9
A  B  4  3
D  F  8  2

How can I say, if columns A and B have duplicates remove the ones that have the largest column C?

So for instance we can see lines 1 and 5 have the same columns A and B.

A  B  6  2 (Line 1)
A  B  4  3 (Line 5)

I want to remove line 1 as 6 is greater than 4.

So my output should be

A  C  4  2
K  L  8  9
A  B  4  3
D  F  8  2

Answer 1

Try sorting the column in descending order on which you need to find max value using pd.sort_values

Then drop_duplicates using pd.drop_duplicate

df.sort_values(by=['C'],ascending=[True],inplace=True)
df.drop_duplicates(subset=['A','B'],inplace=True)