CODEWITHSUNDEEP
pythonoopinheritance
optional
optional

Reputation: 145

Python - inherited class method to operate on class attribute

I'm sure there's probably a simple solution but anyway the problem is this: I've got two classes, say A and B, both of which have attributes that are dataframe like -- those attributes are instances of a dataframe class, call it C, which has its own methods. I'd like to define an 'interface like' class D which has methods that can operate on those attributes (i.e. operate on the dataframes which are attributes of A and B).

edit for clarity: in what follows below, let a and b be dataframes (i.e. instances) from class C. So that the methods of C are available to a and b.

To be more explicit: Suppose a is the dataframe like attribute of A, with attributes Series1,...,Seriesn. Since a is dataframe like, I can call a.Series1, a.Series2, ... etc to access the contents of Series1, Series2 in a. Of course a is an attribute of A so I'm actually calling A.a.Series1, A.a.Series2.. etc, and a has its own methods from class C so I can call A.a.Series1.methodfromclassC() no problem. Anyhow. Now suppose I want to make a transformation in a consistent fashion to the contents of a.Seriesj, or b.Seriesj, implemented as a method in class D, that both A and B can access. The idea being that I'd like to be able to call a member of class A like so: A.a.Seriesj.transformseries(). The problem I run into is that Seriesj has its own methods (inherited from class C) and transformseries() is not one of them.

This probably seems a bit convoluted but the idea being that eventually I can chain multiple calls to the various methods of D changing the state of the dataframe attributes: A.a.Series2.transform1().transform2().transformj() or B.b.Seriesj.transform6().transform3() etc, so that the final representation of A.a and B.b is in the form that I'd like.

Upvotes: 0

Views: 122

Answers (1)

Alexandre
Alexandre

Reputation: 1285

Have you considered "injecting" new methods to your Seriesn? In Python you can add methods to classes dynamically like this:

setattr(MyClass, 'new_method', lambda self: 'return value')

It will work even in objects instanced before. So you could add custom methods to Pandas' Series and/or Dataframe classes.

Upvotes: 1

Related Questions