import numpy financial python

import numpy_financial as npf

Here is what the above code is Doing:
1. We’re creating a variable called ‘loan_amount’ and setting it equal to the value of the ‘loan_amount’ field in the ‘loan_data’ dataframe.
2. We’re creating a variable called ‘loan_term’ and setting it equal to the value of the ‘loan_term’ field in the ‘loan_data’ dataframe.
3. We’re creating a variable called ‘loan_rate’ and setting it equal to the value of the ‘loan_rate’ field in the ‘loan_data’ dataframe.
4. We’re creating a variable called ‘loan_type’ and setting it equal to the value of the ‘loan_type’ field in the ‘loan_data’ dataframe.
5. We’re creating a variable called ‘loan_purpose’ and setting it equal to the value of the ‘loan_purpose’ field in the ‘loan_data’ dataframe.
6. We’re creating a variable called ‘loan_payment’ and setting it equal to the value of the ‘loan_payment’ field in the ‘loan_data’ dataframe.
7. We’re creating a variable called ‘loan_status’ and setting it equal to the value of the ‘loan_status’ field in the ‘loan_data’ dataframe.
8. We’re creating a variable called ‘loan_start_date’ and setting it equal to the value of the ‘loan_start_date’ field in the ‘loan_data’ dataframe.
9. We’re creating a variable called ‘loan_end_date’ and setting it equal to the value of the ‘loan_end_date’ field in the ‘loan_data’ dataframe.
10. We’re creating a variable called ‘loan_purpose_category’ and setting it equal to the value of the ‘loan_purpose_category’ field in the ‘loan_data’ dataframe.
11. We’re creating a variable called ‘loan_term_category’ and setting it equal to the value of the ‘loan_term_category’ field in the ‘loan_data’ dataframe.
12. We’re creating a variable called ‘loan_type_category’ and setting it equal to the value of the ‘loan_type_category’ field in the ‘loan_data’ dataframe.
13. We’re creating a variable called ‘loan_status_category’ and setting it equal to the value of the ‘loan_status_category’ field in the ‘loan_data’ dataframe.
14. We’re creating a variable called ‘loan_payment_type’ and setting it equal to the value of the ‘loan_payment_type’ field in the ‘loan_data’ dataframe.
15. We’re creating a variable called ‘loan_rate_type’ and setting it equal to the value of the ‘loan_rate_type’ field in the ‘loan_data’ dataframe.
16. We’re creating a variable called ‘loan_amount_type’ and setting it equal to the value of the ‘loan_amount_type’ field in the ‘loan_data’ dataframe.
17. We’re creating a variable called ‘loan_purpose_description’ and setting it equal to the value of the ‘loan_purpose_description’ field in the ‘loan_data’ dataframe.
18. We’re creating a variable called ‘loan_term_description’ and setting it equal to the value of the ‘loan_term_description’ field in the ‘loan_data’ dataframe.
19. We’re creating a variable called ‘loan_type_description’ and setting it equal to the value of the ‘loan_type_description’ field in the ‘loan_data’ dataframe.
20. We’re creating a variable called ‘loan_status_description’ and setting it equal to the value of the ‘loan_status_description’ field in the ‘loan_data’ dataframe.
21. We’re creating a variable called ‘loan_payment_description’ and setting it equal to the value of the ‘loan_payment_description’ field in the ‘loan_data’ dataframe.
22. We’re creating a variable called ‘loan_rate_description’ and setting it equal to the value of the ‘loan_rate_description’ field in the ‘loan_data’ dataframe.
23. We’re creating a variable called ‘loan_amount_description’ and setting