Reset column index of pandas dataframe

Question

Is it possible to reset columns so they becomes first row of DataFrame. For example,

import pandas as pd

df = pd.DataFrame({\'a\': [1, 2, 3], \'b\'         


        

Answer 1

Can also chain reset.index

df.T.reset_index().T.reset_index(drop=True)

    0   1
0   a   b
1   1   4
2   2   5
3   3   6

Answer 2

Inserting column names at the first row and resetting the indices.

import pandas as pd

df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})

df.loc[-1] = df.columns
df.index = df.index + 1
df = df.sort_index()
df.columns = [0,1]
df

    0   1
0   a   b
1   1   4
2   2   5
3   3   6

Answer 3

Use

In [57]: pd.DataFrame(np.vstack([df.columns, df]))
Out[57]:
   0  1
0  a  b
1  1  4
2  2  5
3  3  6