Open AndreiKingsley opened 4 months ago
Catch DataFrame exceptions and handle them Why? Don't we use all the logic including data validation on the dataframe?
Sometimes for the user the error thrown by the DataFrame can be unclear, in some cases it is necessary to say in more detail and more specific in terms of Kandy (for example: if user performs mapping with an invalid source, we should inform user about that like "Invalid mapping source: (the problem)", not just pass info from dataframe)