So right now, you can see that the output as two rows with several columns. I want to use .loc[0] method to extract only the frist row. however, I still need to use that extracted data to calculate stuff So I need to convert that .loc[0] result to either array or DataFrame ... how do I do It?

In [364] : Fator OENO #Count Major Words of Bible major_subject_01d = pd. DataFrame { 'Lord': np.char.count(Bible_Testaments, 'Lord') + np.char.count(Bible_Testaments, 'lord'), 'God': np.char.count(Bible_Testaments, 'God'). "Moses': np.char.count(Bible_Testaments, 'Moses'). 'Abraham' i np.char.count(Bible_Testaments, Abraham') 'Israelites' i np. char.count(Bible_Testaments, 'Israelites') + np.char.count(Bible_Testaments, 'israelites'). 'Israel' : np.char.count(Bible_Testaments, 'Israel') + np.char.count(Bible_Testaments, 'israel'), "Heaven' i np.char.count(Bible_Testaments, 'heaven')+ np. char.count(Bible_Testaments, 'Heaven'). "Hell' i np.char.count(Bible_Testaments, 'Hell') + np.char.count(Bible_Testaments, 'hell'), 'Messia' : np.char.count(Bible_Testaments, 'Messia') + np.char.count(Bible Testaments, 'messia'), 'Saviour' i np.char.count(Bible_Testaments, 'Saviour') + np.char.count(Bible_Testaments, 'saviour') }) 15 major_subject_old #loco Out (364] : Lord God Moses Abraham 0 652 2749 767 176 1 7091370 80 74 Israelites 16 2 Israel Heaven Hell Messia Saviour 2522 441 32 2 15 79 298 23 2 24