individual transformation
Currently, it is only possible to apply a single transformation method to all variables. It would be great to be able setting a specific transformation method for each variable. This also includes to refactor the current transformation class which is not well designed and not intuitive to use.
-
investigate how to establish a easy-to-use connection between experiment parameter setup and data handler (maybe a dict structure) -
replace transformation and data class with the new feature -
fix parallel transformation -
how does it interact with mixed sampling (#268 (closed) ), it should be straight forward -
how about kz filter and separation of scales? -
?