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- #! /usr/bin/env python3
- # playing with group and count
- # https://stackoverflow.com/questions/38174155/group-dataframe-and-get-sum-and-count
- import pandas as pd
- data = {
- 'Company' : ['Ford','Ford','Ford','Ford','Chevy','Chevy'],
- 'Type' : ['Mercury','Lincoln','Lincoln','Econoline','Malabu','Pickups'],
- 'Profit' : [1,100,40,99,2,3]
- }
- df = pd.DataFrame(data)
- # Want to compute mean and std of Profit
- # Add duplicates of value to be aggrigated
- df['mean_profit'] = df["Profit"]
- df['std_profit'] = df["Profit"]
- df2 = df.groupby('Company').agg({'Type':'count','Profit':'sum', 'mean_profit':'mean','std_profit':'std'}).reset_index().rename(columns={'Type':"count"})
- print(df2)
- # Company count Profit mean_profit std_profit
- # 0 Chevy 2 5 2.5 0.707107
- # 1 Ford 4 240 60.0 48.311489
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