pastas.io.pas.PastasEncoder.default =================================== .. py:method:: pastas.io.pas.PastasEncoder.default(o) Implement this method in a subclass such that it returns a serializable object for ``o``, or calls the base implementation (to raise a ``TypeError``). For example, to support arbitrary iterators, you could implement default like this:: def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return super().default(o) .. !! processed by numpydoc !!