python - How to extract only the first occurrences of rows corresponding to a specific column in pandas

Question

I have a pandas dataframe of over 100,000 which is already sorted accordingly, however given this sorted dataframe I'm trying to only extract the rows associated with the first occurrence of a specific column. I give an example below where the dataframe df can be considered the sorted dataframe I already have

d = {'id': [10,32,4,10,11,5,32,10], 'A': ['S', 'F', 'R', 'Z','X','T','S','B]}
df = pd.DataFrame(data=d)

print(df)

id	A
10	S
32	F
4	R
10	Z
11	X
5	T
32	S
10	B

question from:https://stackoverflow.com/questions/65839141/how-to-extract-only-the-first-occurrences-of-rows-corresponding-to-a-specific-co

Answer 1

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