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New feature: Conditionals

Open ashwin100196 opened this issue 4 years ago • 1 comments

This feature would allow adding conditions on the DataFrame and then assigning value for a new column

Example

A > 5 & B < 10; Create Flag as 1, else Flag as 0

This could then be used to create masks on the data to be used by the already present Filter block. (for future enhancements)

ashwin100196 avatar Jul 17 '21 08:07 ashwin100196

I like this idea. I think it opens a discussion about merging/joining/masking. Does it make sense for a single node type to join two streams of data or are these actions all distinct enough to have their own nodes?

schlerp avatar Jul 20 '21 01:07 schlerp