Comments (1)
No, this is not supported. You can get around this by creating a new column that contains all of the information you want to group on, like this:
import pandas as pd
from hdfe import Groupby
df = pd.DataFrame({'a': [1, 1, 1, 2], 'b': [3, 4, 4, 4], 'x': 1})
# Do this in place of df['group count'] = Groupby(df[['a', 'b']])
df['new id'] = df['a'].astype(str) + '_' + df['b'].astype(str)
df['group count'] = Groupby(df['new id']).apply(len, df['x'])
print(df)
a b x new id group count
0 1 3 1 1_3 1.0
1 1 4 1 1_4 2.0
2 1 4 1 1_4 2.0
3 2 4 1 2_4 1.0
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