Hitung Kejadian dari satu variabel yang dikelompokkan oleh ular piton lain
>>> data = pd.DataFrame({'user_id' : ['a1', 'a1', 'a1', 'a2','a2','a2','a3','a3','a3'], 'product_id' : ['p1','p1','p2','p1','p1','p1','p2','p2','p3']})
>>> count_series = data.groupby(['user_id', 'product_id']).size()
>>> count_series
user_id product_id
a1 p1 2
p2 1
a2 p1 3
a3 p2 2
p3 1
dtype: int64
>>> new_df = count_series.to_frame(name = 'size').reset_index()
>>> new_df
user_id product_id size
0 a1 p1 2
1 a1 p2 1
2 a2 p1 3
3 a3 p2 2
4 a3 p3 1
>>> new_df['size']
0 2
1 1
2 3
3 2
4 1
Name: size, dtype: int64
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