Pandas incorporate user defined offsets as aliases

http://stackoverflow.com/questions/12979062/using-a-custom-offset-alias-in-pandas

I'm thinking:

@offset_alias class CustomOffset(DateOffset): ...

Comment From: ghost

moved from 1.0 (the 'never' release? :) to current milestone with the rest of the rolling issues.

Comment From: bcbernardo

This was marked as completed in 2012, but there is no mention to this in the documentation nor occurrences of the suggested syntax in the code base...

Was it actually implemented? If so, how does one create a custom frequency alias in modern days pandas (currently v1.5.3)?

Comment From: Deepnika

Yes, facing the same issue here. Is there a way to create an offset class and register it with pandas to use with pd.infer_freq() after adding the inference rule? Here's what I thought:

from pandas.tseries.offsets import CustomBusinessDay

class DailyExcludingSunday(CustomBusinessDay):
    """
    Represents a custom frequency that occurs every day including Saturdays
    but excluding Sundays.
    """
    def __init__(self, **kwargs):
        super().__init__(weekmask='Mon Tue Wed Thu Fri Sat', holidays=[], **kwargs)

    @property
    def name(self):
        return 'daily_excluding_sunday'

idx = pd.date_range(start='2023-02-01', end='2023-02-28', freq=DailyExcludingSunday())
pd.infer_freq(idx)                # Should return 'daily_excluding_sunday'