I would like to group records by ID from df and delete group if any of records has STATUS = 300.
import pandas as pd
df1 = pd.DataFrame(
{
"ID": ["A0", "A0", "A0", "A1", "A1", "A1", "A2", "A2", "A2"],
"STATUS": [100, 100, 300, 100, 100, 100, 300, 100, 100],
},
index=[0, 1, 2, 3, 4, 5, 6, 7, 8],
)
output:
ID STATUS
0 A0 100
1 A0 100
2 A0 300
3 A1 100
4 A1 100
5 A1 100
6 A2 300
7 A2 100
8 A2 100
I would like to get:
ID STATUS
0 A1 100
1 A1 100
2 A1 100
I tried:
dfnew = df1.groupby(‘ID’).filter(lambda x: x[‘STATUS’] != 300)
But I got the error:
TypeError: filter function returned a Series, but expected a scalar bool
>Solution :
df1.groupby('ID').filter(lambda x: 300 not in x['STATUS'].to_list())