i have following 2 dataframes and i want to merge them.
df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'], 'B': ['B0', 'B1', 'B2', 'B3'], 'C': ['C0', 'C1', 'C2', 'C3'], 'D': ['D0', 'D1', 'D2', 'D3']}, index=[0, 1, 2, 3]) df2 = pd.DataFrame({'z': ['A4', 'A5', 'A6', 'A7'], 'e': ['B4', 'B5', 'B6', 'B7'], 'y': ['C4', 'C5', 'C6', 'C7'], 'f': ['D4', 'D5', 'D6', 'D7']}, index=[12,2, 43,24]) A B C D 0 A0 B0 C0 D0 1 A1 B1 C1 D1 2 A2 B2 C2 D2 3 A3 B3 C3 D3 z y f 12 B4 C4 D4 32 B5 C5 D5 43 B6 C6 D6 24 B7 C7 D7
And i want like :
A B C D z y f 0 A0 B0 C0 D0 B4 C4 D4 1 A1 B1 C1 D1 B5 C5 D5 2 A2 B2 C2 D2 B6 C6 D6 3 A3 B3 C3 D3 B7 C7 D7
can anyone help me , tried below code but i didnt get the solution
pd.concat([df1, df2], axis=1)
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Answer
You need reset_index
first
df=pd.concat([df1.reset_index(drop=True),df2.reset_index(drop=True)],axis=1)