Pandas DataFrame visual

[snippsat]

this is how it looks like:

No it dos not look like this when i run it.

import pandas as pd

area = pd.Series({'California': 423967, 'Texas': 695662,
                  'New York': 141297, 'Florida': 170312,
                  'Illinois': 149995})
pop = pd.Series({'California': 38332521, 'Texas': 26448193,
                 'New York': 19651127, 'Florida': 19552860,
                 'Illinois': 12882135})
data = pd.DataFrame({'area':area, 'pop':pop})

print(data)

Output:
              area       pop
California  423967  38332521
Texas       695662  26448193
New York    141297  19651127
Florida     170312  19552860
Illinois    149995  12882135

So to make in the way it should possible be reset_index() and rename first column.

>>> data = data.reset_index()
>>> data
        index    area       pop
0  California  423967  38332521
1       Texas  695662  26448193
2    New York  141297  19651127
3     Florida  170312  19552860
4    Illinois  149995  12882135
>>> 
>>> data = data.rename(columns={'index': 'States'})
>>> data
       States    area       pop
0  California  423967  38332521
1       Texas  695662  26448193
2    New York  141297  19651127
3     Florida  170312  19552860
4    Illinois  149995  12882135