In [37]: df = pd.DataFrame([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6]]) In [38]: df2 = pd.concat([df, df]) In [39]: df2.reset_index() Out[39]: index 0 1 2 3 0 0 1 2 3 4 1 1 2 3 4 5 2 2 3 4 5 6 3 0 1 2 3 4 4 1 2 3 4 5 5 2 3 4 5 6 My problem is that how can I reset_index without adding a new column index?
2 Answers
You can use the drop=True option in reset_index(). See here.
You can also drop the column.
df2.reset_index().drop(["index"], axis=1) 0 1 2 3 0 1 2 3 4 1 2 3 4 5 2 3 4 5 6 3 1 2 3 4 4 2 3 4 5 5 3 4 5 6 
