


pandas groupby grouping method to get the first few rows of records in each group
The following is a pandas groupby method for grouping and recording the first few rows of each group. It has a good reference value and I hope it will be helpful to everyone. Let’s come and take a look.
Let’s go straight to the example.
import pandas as pd df = pd.DataFrame({'class':['a','a','b','b','a','a','b','c','c'],'score':[3,5,6,7,8,9,10,11,14]})
df:
score | ||
---|---|---|
a | 3 | |
a | 5 | |
b | 6 | |
b | 7 | |
a | 8 | |
a | 9 | |
b | 10 | |
c | 11 | |
c | 14 |
df.sort_values(['class','score'],ascending=[1,0],inplace=True) grouped = df.groupby(['class']).head(2)
grouped:
##class | score||
---|---|---|
9 | 4 | |
8 | 6 | |
10 | ##3 | b |
8 | c | |
7 | c | |
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pandas method of getting the row with the maximum value in the groupby group
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