Pandas percentage of total with groupby

Question

This is obviously simple, but as a numpy newbe I\'m getting stuck.

I have a CSV file that contains 3 columns, the State, the Office ID, and the Sales for that office

Answer 1

Simple way I have used is a merge after the 2 groupby's then doing simple division.

import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'state': ['CA', 'WA', 'CO', 'AZ'] * 3,
               'office_id': list(range(1, 7)) * 2,
               'sales': [np.random.randint(100000, 999999) for _ in range(12)]})

state_office = df.groupby(['state', 'office_id'])['sales'].sum().reset_index()
state = df.groupby(['state'])['sales'].sum().reset_index()
state_office = state_office.merge(state, left_on='state', right_on ='state', how = 'left')
state_office['sales_ratio'] = 100*(state_office['sales_x']/state_office['sales_y'])

   state  office_id  sales_x  sales_y  sales_ratio
0     AZ          2   222579  1310725    16.981365
1     AZ          4   252315  1310725    19.250033
2     AZ          6   835831  1310725    63.768601
3     CA          1   405711  2098663    19.331879
4     CA          3   710581  2098663    33.858747
5     CA          5   982371  2098663    46.809373
6     CO          1   404137  1096653    36.851857
7     CO          3   217952  1096653    19.874290
8     CO          5   474564  1096653    43.273852
9     WA          2   535829  1543854    34.707233
10    WA          4   548242  1543854    35.511259
11    WA          6   459783  1543854    29.781508