dataframe groupby multiple columns
grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
grouped_multiple = grouped_multiple.reset_index()
print(grouped_multiple)dataframe groupby rank by multiple column value
df = df.sort_values(by=["x","y"], ascending=False)
df['rank']=tuple(zip(df.x,df.y))
df['rank']=df.groupby('sort_by',sort=False)['rank'].apply(lambda x : pd.Series(pd.factorize(x)[0])).values
df
Out[615]:
sort_by x y rank
3 a 500.0 1000.0 1
1 a 200.0 2000.0 2
2 a 200.0 2000.0 2
7 a 200.0 100.5 3
0 a 100.5 4000.0 4
6 b 3.0 600.5 1
5 b 2.0 600.5 2
4 b 1.0 500.5 3Copyright © 2021 Codeinu
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