Level Up Python Pandas GroupBy | Five Minute Python Scripts | Subscriber Request

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0:00 introduction
0:12 viewing the data
0:59 reading in data
1:59 groupby
4:24 writing new workbook
5:17 Conditional Index

Data used in this video:
https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/Python%20Pandas/Level%20Up%20Groupby/OrderHistory.xlsx

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Full code from the video:
https://github.com/Derrick-Sherrill/DerrickSherrill.com/tree/master/Python%20Pandas/Level%20Up%20Groupby

import pandas as pd

df = pd.read_excel('OrderHistory.xlsx')
df = df.sort_values(by='Order ID', ascending=True)
print(df.head(10))

agg_functions = {
'Sales Amount' : 'sum',
'Order Type' : ', '.join,
}

simplified_df = df.groupby('Order ID').agg(agg_functions)
simplified_df.to_excel('simplified_order_history.xlsx')

multiple_item_orders = simplified_df[simplified_df['Order Type'].str.contains(',')]
print(multiple_item_orders)



Packages (& Versions) used in this video:
Pandas 1.2.4

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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com

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