How to make new dataframe from existing dataframe by removing duplicates from columns?

Question

I have a dataframe ‘merged_df’ that looks like this:

Login ID	Volume
cab001	4
cab002	3
cab001	4
cab003	2

There are many duplicates in the login_id column. I want to make another dataframe with only unique ‘login_id’ and the sum of ‘volume’ for each unique ‘login_id’.

Asked By: Atif

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Source

Answer 1

Will this get you what you want?

df = pd.DataFrame({
    'login_id' : [1, 1, 2, 2, 3],
    'Volumn' : [10, 10, 20, 20, 50]
})

df_new = df.groupby('login_id', as_index = False)['Volumn'].sum().sort_values('Volumn', ascending = False)

Answered By: ArchAngelPwn

How to make new dataframe from existing dataframe by removing duplicates from columns?

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