How to convert index of a pandas dataframe into a column?

Question

This seems rather obvious, but I can't seem to figure out how to convert an index of data frame to a column?

For example:

df= 

    gi       ptt_loc 

0 384444683  593 

1 384444684  594 

2 384444686  596

To,

df= 

   index1     gi       ptt_loc 

0   0      384444683   593 

1   1      384444684   594 

2   2      384444686   596

Answer 1

If you want to convert index of a pandas dataframe into a column you can use the following way:

df['index1'] = df.index

or

df.reset_index(level=0, inplace=True)

Another thing you can use to provide a bit more clarity is, look at a DataFrame with two levels in its index:

import pandas as pd

import numpy as np

index = pd.MultiIndex.from_product([['TaX', 'FuLL', 'CALL'], ['East', 'West']], names=['State', 'Direction'])

df = pd.DataFrame(index=index, data=np.random.randint(0, 10, (6,4)), columns=list('abcd'))

print(df)