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Getting the last row of each group in Pandas

Pandas
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Data Aggregation Cookbook
schedule Jul 1, 2022
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To get the last row of each group, call last() after grouping.

Example

Consider the following DataFrame:

df = pd.DataFrame({"price":[200,300,700,900], "brand":["apple", "google", "apple", "google"], "device":["phone","phone","computer","phone"]})
df
price brand device
0 200 apple phone
1 300 google phone
2 700 apple computer
3 900 google phone

To get the last row of each brand group:

df.groupby("brand").last()
price device
brand
apple 700 computer
google 900 phone

Note that groupby(~) preserves the order of the rows, and so it is guaranteed to get the last occurrence of each brand in this case.

* * *

As a side note, you could also fetch the last n rows of each group using the tail(n) method:

df.groupby("brand").tail(2)
price brand device
0 200 apple phone
1 300 google phone
2 700 apple computer
3 900 google phone
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Published by Isshin Inada
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