How do I remove rows on duplicated ids?

Question

I have a pandas dataframe that looks something like this:

ID	Value
00001	value 1
00001	value 2
00002	value 3
00003	value 4
00004	value 5
00004	value 6

What I want to do is remove it so that I am left with this:

ID	Value
00001	value 1
00002	value 3
00003	value 4
00004	value 5

What's the best way to achieve this?

Answer 1

Assuming ID is just a column and not the index

df.drop_duplicates('ID', inplace=True)

Answer 2

df.drop_duplicates(subset='id', keep="first")

Answer 3

As per my understanding you want to remove duplicates using only first row as criteria, you can using following code

df.drop_duplicates(subset=["ID"], keep='first')