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- np.random.seed(100)
- df1 = pd.DataFrame(np.random.randint(100, size=(5,6)), columns=list('ABCDEF'))
- print (df1)
- A B C D E F
- 0 8 24 67 87 79 48
- 1 10 94 52 98 53 66
- 2 98 14 34 24 15 60
- 3 58 16 9 93 86 2
- 4 27 4 31 1 13 83
- df2 = pd.DataFrame({'A':[1,2,3],
- 'B':[4,5,6],
- 'C':[7,8,9],
- 'D':[1,3,5],
- 'E':[5,3,6],
- 'F':[7,4,3]})
- print (df2)
- A B C D E F
- 0 1 4 7 1 5 7
- 1 2 5 8 3 3 4
- 2 3 6 9 5 6 3
- print (pd.concat([df1.iloc[:4], df2, df1.iloc[4:]], ignore_index=True))
- A B C D E F
- 0 8 24 67 87 79 48
- 1 10 94 52 98 53 66
- 2 98 14 34 24 15 60
- 3 58 16 9 93 86 2
- 4 1 4 7 1 5 7
- 5 2 5 8 3 3 4
- 6 3 6 9 5 6 3
- 7 27 4 31 1 13 83
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