Às 04:08 de 08-06-2016, MRAB escreveu: > On 2016-06-08 03:09, Paulo da Silva wrote: >> Hi all! >> ... >> >> More generally I have a class derived from pandas.datetime and I want to >> implement its own __add__ that at a given point call super __add__. >> >> For example: >> >> class C(pandas.datetime): >> ... >> def __add__(self,n): >> ... >> r=super(C,self).__add__(pd.DateOffset(days=n)) >> ... >> BTW, in the last line is it needed and how to "cast" self to >> pandas.datetime? >> ...
> When you have x+y, it tries x.__add__(y). If that fails, it then tries > y.__radd__(x). That's it! > > Does that mean that the calculation above is actually implemented by the > DateOffset class? It seems so. Using __radd__ it works. > > Does pd.to_datetime return a datetime instance? Yes. > I still have the problem of self being C (not pandas.datetime). I tried self.__class__=pandas.datetime but it says something like "__class__ assignment: only for heap types" I don't know what this means. Using a new object op=pandas.datetime(self.year,self.month,self.day) works but it's too heavy :-) Thank you very much. -- https://mail.python.org/mailman/listinfo/python-list
