How to Filter Rows in Pandas Based on Another DataFrame

Problem Statement

You have two DataFrames:

1. `result1`: Contains columns `TestCodeId` and `SupplierId`.

2. `sortorder_insert`: Contains the same columns (`TestCodeId` and `SupplierId`).

The goal is to omit rows in `result1` where the combination of `TestCodeId` and `SupplierId` exists in `sortorder_insert`.

1. Use `apply(tuple, axis=1)` to combine multiple columns into tuples for comparison.

2. Use `isin()` to check for the presence of values in another DataFrame.

3. Use the `~` operator to negate conditions and exclude matching rows.

4. Always ensure column names and data types match between DataFrames.