Using Pandas to Create DateOffset of Paydays
Question: I'm trying to use Pandas to create a time index in Python with entries
corresponding to a recurring payday. Specifically, I'd like to have the index
correspond to the first and third Friday of the month. Can somebody please
give a code snippet demonstrating this?

Something like:

    
    
    import pandas as pd
    idx = pd.date_range("2016-10-10", periods=26, freq=<offset here?>)
    


Answer: try this:

    
    
    In [6]: pd.date_range("2016-10-10", periods=26, freq='WOM-1FRI').union(pd.date_range("2016-10-10", periods=26, freq='WOM-3FRI'))
    Out[6]:
    DatetimeIndex(['2016-10-21', '2016-11-04', '2016-11-18', '2016-12-02', '2016-12-16', '2017-01-06', '2017-01-20', '2017-02-03', '2017-02-17',
     '2017-03-03', '2017-03-17', '2017-04-07', '2017-04-21',
                   '2017-05-05', '2017-05-19', '2017-06-02', '2017-06-16', '2017-07-07', '2017-07-21', '2017-08-04', '2017-08-18', '2017-09-01',
     '2017-09-15', '2017-10-06', '2017-10-20', '2017-11-03',
                   '2017-11-17', '2017-12-01', '2017-12-15', '2018-01-05', '2018-01-19', '2018-02-02', '2018-02-16', '2018-03-02', '2018-03-16',
     '2018-04-06', '2018-04-20', '2018-05-04', '2018-05-18',
                   '2018-06-01', '2018-06-15', '2018-07-06', '2018-07-20', '2018-08-03', '2018-08-17', '2018-09-07', '2018-09-21', '2018-10-05',
     '2018-10-19', '2018-11-02', '2018-11-16', '2018-12-07'],
                  dtype='datetime64[ns]', freq=None)
    

