Please see F(x) Table for the basics on f(x) nodes.
The main base class for adaf f(x) nodes is called
ADAFWrapper. It gives
access to the variables
self.out_adaf which are of the
adaf.File so you will need to use the ADAF API.
Apply functions to a list of ADAFs.
Can be used with either the main base class or with the base class
ADAFsWrapperwhich gives access to the entire list of ADAFs at once. When using this base class you should access the input and output data with
self.out_adaf_listrespectively. They are both of the type
See also F(x) Table for a brief discussion of when to use the “plural” base classes.
- port1 : Datasource
Path to Python file with scripted functions.
- port2 : ADAFs
ADAFs with data to apply functions to.
- port3 : ADAFs
ADAFs with the results from the applied functions.
- Clean output
If disabled the incoming data will be copied to the output before running the nodes.
- Put results in common outputs : checkbox
Use this checkbox if you want to gather all the results generated from an incoming Table into a common output. This requires that the results will all have the same length. An exception will be raised if the lengths of the outgoing results differ. It is used only when clean output is active. Otherwise it will be disabled and can be considered as checked.
- Select functions
Choose one or many of the listed functions to run.
- Enable pass-through
If disabled only selected functions are run. Enable this to override the functions selection and run all functions in the python file.