how to combine dataframes having multiple rows with index of 0

Question

I have 2 dataframes that have multiple rows with index of 0. I was trying to combine both but I am getting only one row. How can I get all rows?

Df1
IDD INN
0  1400.0
IDD INN
0 1500.0

Df2

FAD INN
0  4200.0
FAD INN
0  2400.0

I am using below statement to combine but I see only row in output

import pandas as pd

result = pd.concat([df1, df2], axis=1, join='inner')

output:

IDD INN                 FAD INN
0 1500.0                 2400.0

Below is the constructor:

{'IDD INN': {0: 1500.0}}
{'FAD INN': {0: 2400.0}}

Answer 1

Do you need join?

>>> df1.join(df2, how='outer')
   INDIVIDUAL DEDUCTIBLE INN  FAMILY DEDUCTIBLE INN
0                     1400.0                 4200.0
0                     1400.0                 2400.0
0                     1500.0                 4200.0
0                     1500.0                 2400.0

Setup:

>>> df1
   INDIVIDUAL DEDUCTIBLE INN
0                     1400.0
0                     1500.0

>>> df2
   FAMILY DEDUCTIBLE INN
0                 4200.0
0                 2400.0

Or concat

>>> pd.concat([df1, df2], axis=1)
   INDIVIDUAL DEDUCTIBLE INN  FAMILY DEDUCTIBLE INN
0                     1400.0                 4200.0
0                     1500.0                 2400.0