Hey Aquil,
Yes, the string method certainly works. The other thing you could do that
isn't mentioned in that post is have a table or 2D array whose first
column is the float timestamp [1] and whose second column is a string repr
of just the timezone name (or a int or float of the offset in sec of the
timezone). This will likely be faster.
All of the strategies mentioned will work, but will have varying speeds. I
personally prefer anything with a timestamp since it relies on the
canonical form.
Be Well
Anthony
PS I am sorry that you have to deal with timezones. They are a real pain!
1. http://pytables.github.com/usersguide/libref.html#tables.Time64Col
On Mon, Jun 18, 2012 at 10:05 PM, Aquil H. Abdullah <
aquil.abdul...@gmail.com> wrote:
> I need to store dates and timezone aware datetimes in a PyTable.
> Currently, I am storing values of those types as ISO 8601 strings. I ran
> across the thread pytables for timeseries data (
> http://osdir.com/ml/python.pytables.user/2007-11/msg00036.html) which
> leads me to believe that what I am doing is the best way to store these
> types of values, but I just wanted to check in case I am missing something.
>
> Regards,
>
> --
> Aquil H. Abdullah
> aquil.abdul...@gmail.com
>
>
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