[Numpy-discussion] The date/time dtype and the casting issue
Alan G Isaac
Thu Jul 31 08:33:00 CDT 2008
> A Thursday 31 July 2008, Matt Knox escrigué:
>> While on the topic of FAME... being a financial analyst, I really am
>> quite fond of the multitude of quarterly frequencies we have in the
>> timeseries package (with different year end points) because they are
>> very useful when doing things like "calenderizing"
>> earnings from companies with different fiscal year ends.
On Thu, 31 Jul 2008, Francesc Alted apparently wrote:
> Well, introducing a quarter should not be difficult. We just wanted to
> keep the set of supported time units under a minimum (the list is
> already quite large). We thought that the quarter fits better as
> a 'derived' time unit, similarly as biweekly, semester or biyearly (to
> name just a few examples). However, if quarters are found to be much
> more important than other derived time units, they can go into the
> proposal too.
Quarterly frequency is probably the most analyzed frequency
Widely used macroeconometrics packages (e.g., EViews)
traditionally support only three explicit frequencies:
annual, quarterly, and monthly.
More information about the Numpy-discussion