Parsed!

The callback worked! The code previously posted only had to be slightly modified.

parsedates.set_callback(timeseries_parse.DateTimeFromString)

I have the mxDateTime Parser modified from the Scikits Timeseries imported here as timeseries_parse. In that program is a magical date parsing function called DateTimeFromString (and a similar DateFromString) which takes a string and returns a Python datetime object filled with the correct date amounts.

parsedates.parse_date("01/01/2001")
datetime.datetime(2001, 1, 1, 0, 0)

So here we see a datetime object with (Year, Month, Day, Hour, Minute, Second). Turning that into a long number is very easy and it all depends on the frequency metadata. If our frequency is in years, then our number is (Year - 1970) . We can convert this data into a long value very easily.