Given the target audience of this package I think it would make sense to take the time to improve error handling of some common exceptions that can be thrown using the package that occur in the backend. One example that comes to mind is when a column name is incorrect due to a user not manually defining it resulting in the error that x column is not in a dataframe. If any other examples like this come to mind then please share them here
Given the target audience of this package I think it would make sense to take the time to improve error handling of some common exceptions that can be thrown using the package that occur in the backend. One example that comes to mind is when a column name is incorrect due to a user not manually defining it resulting in the error that x column is not in a dataframe. If any other examples like this come to mind then please share them here