Rename the multiple column when .groupby.agg(['sum'])
Question:
How to rename the multiple column when .groupby.agg(['sum'])?
dk = new_df1.groupby(['Product','Date'])['Sale1', 'Sale2'].agg(['sum']).reset_index().rename(columns={'sum':'First_Sale', 'Second_Sale'})
It will show First_Sale, sum for the Sale1 column and Second_Sale, sum for the Sale2 column.
Anyone can assist?
Answers:
This should work: Note that I removed [] around 'sum' and added them around the column names 'Sale1', 'Sale2':
rename = {'Sale1': 'First_Sale', 'Sale2': 'Second_Sale'}
dk = new_df1.groupby(['Product', 'Date'])[['Sale1', 'Sale2']].agg('sum').reset_index().rename(columns=rename)
How to rename the multiple column when .groupby.agg(['sum'])?
dk = new_df1.groupby(['Product','Date'])['Sale1', 'Sale2'].agg(['sum']).reset_index().rename(columns={'sum':'First_Sale', 'Second_Sale'})
It will show First_Sale, sum for the Sale1 column and Second_Sale, sum for the Sale2 column.
Anyone can assist?
This should work: Note that I removed [] around 'sum' and added them around the column names 'Sale1', 'Sale2':
rename = {'Sale1': 'First_Sale', 'Sale2': 'Second_Sale'}
dk = new_df1.groupby(['Product', 'Date'])[['Sale1', 'Sale2']].agg('sum').reset_index().rename(columns=rename)