Python filtering pandas-CodePudding

Question: Output the ID of the user and a total number of actions they performed for tasks they completed(action_name column="CompleteTask"). If a user from this company(ClassPass) did not complete any tasks in the given period of time, you should still output their ID and the number 0 in the second column.

dataset:

expected result:

CodePudding user response：

Considering your initial dataframe is named df, you can try this :

out = (df.groupby(['user_id'], as_index=False)
       .apply(lambda x: x[x['action_name'] == 'CompleteTask' ]['num_actions'].sum())
       .rename(columns={None: 'total_actions'})
      )

>>> print(out)

`>>> print(out)`