Convert Entire Dataframe to a column and insert into a table

Question

Currently my data frame looks something like this

A B C D
1 2 2 3
4 5 5 6

I want some thing like this

Insert_date  Bulk_load
09-09-2022   [[A, B,C,D],
             [1,2,2,3],
             [4,5,5,6]]
10-09-2022   [[Q,Z,R,F], (This is an example for dataframe with new values.)
             [1,2,2,3],
             [4,5,5,6]]

Has any one tried to implement this before?

Answer 1

Is this what you're looking for?

>>> [df.columns.tolist()] + df.values.tolist()
[['A', 'B', 'C', 'D'], [1, 2, 2, 3], [4, 5, 5, 6]]

bulk_df = pd.DataFrame(columns=['Insert_date', 'Bulk_load']).set_index('Insert_date')
bulk_df.loc['09-09-2022', 'Bulk_load'] = [df.columns.tolist()] + df.values.tolist()
print(df)

Output:

                                              Bulk_load
Insert_date
09-09-2022   [[A, B, C, D], [1, 2, 2, 3], [4, 5, 5, 6]]