How to create a bag of words from a pandas dataframe

Question

Here\'s my dataframe

    CATEGORY    BRAND
0   Noodle  Anak Mas
1   Noodle  Anak Mas
2   Noodle  Indomie
3   Noodle  Indomie
4   Noodle  Indomie
23  Noodle           


        

Answer 1

IIUIC, use

Option 1] Numpy flatten and split

In [2535]: collections.Counter([y for x in df.values.flatten() for y in x.split()])
Out[2535]:
Counter({'3': 2,
         'Anak': 2,
         'Cap': 2,
         'Indomie': 4,
         'Mas': 2,
         'Mi': 2,
         'Mie': 2,
         'Noodle': 10,
         'Pop': 2,
         'Telor': 2})

Option 2] Use value_counts()

In [2536]: pd.Series([y for x in df.values.flatten() for y in x.split()]).value_counts()
Out[2536]:
Noodle     10
Indomie     4
Mie         2
Pop         2
Anak        2
Mi          2
Cap         2
Telor       2
Mas         2
3           2
dtype: int64

Options 3] Use stack and value_counts

In [2582]: df.apply(lambda x: x.str.split(expand=True).stack()).stack().value_counts()
Out[2582]:
Noodle     10
Indomie     4
Mie         2
Pop         2
Anak        2
Mi          2
Cap         2
Telor       2
Mas         2
3           2
dtype: int64

---

Details

In [2516]: df
Out[2516]:
   CATEGORY           BRAND
0    Noodle        Anak Mas
1    Noodle        Anak Mas
2    Noodle         Indomie
3    Noodle         Indomie
4    Noodle         Indomie
23   Noodle         Indomie
24   Noodle  Mi Telor Cap 3
25   Noodle  Mi Telor Cap 3
26   Noodle         Pop Mie
27   Noodle         Pop Mie