How to retain multiindex in pandas dataframe while concatenate two separate dataframe

Question

dfs_subs dataframe contain multiindex one level is Question-0 and next level is (Score,..) and i have other dataframe which is having only one level.When i am doing table_1 = pd.concat([df_metadata, dfs_subs], axis=1, levels=0)

table_1 output is showing like below

but i want Question-0 should be one separate level instead of combined as one single column.

For example:

Answer 1

If need MultiIndex in both is possible add empty values for second level for MultiIndex in both DataFrames:

df1.columns = pd.MultiIndex.from_product([df1.columns, ['']])
print (df1)
  Name Age
          
0  Sam  43

#check how looks MultiIndex converted to list
print (df1.columns.tolist())
[('Name', ''), ('Age', '')]

---

df = pd.concat([df1, df2], axis=1)
print (df)
  Name Age Address  Fav
             score Time
0  Sam  43       7   10

#check how looks MultiIndex converted to list
print (df.columns.tolist())
[('Name', ''), ('Age', ''), ('Address', 'score'), ('Fav', 'Time')]