I want to create a function that can create a table, in which part of the columns is derived from the other two tables.
input table1: This is a static table for each loan. Each loan has only one row with information related to that loan. For example, original unpaid balance, original interest rate...
| id | loan_age | ori_upb | ori_rate | ltv |
| --- | -------- | ------- | -------- | --- |
| 1 | 360 | 1500 | 4.5 | 0.6 |
| 2 | 360 | 2000 | 3.8 | 0.5 |
input table2: This is a dynamic table for each loan. Each loan has seraval rows show the loan performance in each month. For example, current unpaid balance, current interest rate, delinquancy status...
| id | month| cur_upb | cur_rate |status|
| ---| --- | ------- | -------- | --- |
| 1 | 01 | 1400 | 4.5 | 0 |
| 1 | 02 | 1300 | 4.5 | 0 |
| 1 | 03 | 1200 | 4.5 | 1 |
| 2 | 01 | 2000 | 3.8 | 0 |
| 2 | 02 | 1900 | 3.8 | 0 |
| 2 | 03 | 1900 | 3.8 | 1 |
| 2 | 04 | 1900 | 3.8 | 2 |
output table: The output table contains information from table1 and table2. Payoffupb is the last record of cur_upb in table2. This table is built for model development.
| id | loan_age | ori_upb | ori_rate | ltv | payoffmonth| payoffupb | payoffrate |lastStatus | modification |
| ---| -------- | ------- | -------- | --- | ---------- | --------- | ---------- |---------- | ------------ |
| 1 | 360 | 1500 | 4.5 | 0.6 | 03 | 1200 | 4.5 | 1 | null |
| 2 | 360 | 2000 | 3.8 | 0.5 | 04 | 1900 | 3.8 | 2 | null |
Most columns in the output table can directly get or transferred from columns in the two input tables, but some columns can not get then leave blank.
My main question is how to write a function to take two tables as inputs and output another table? I already wrote the feature transformation part for data files in 2018, but I need to do the same thing again for data files in some other years. That's why I want to create a function to make things easier.