Matt Knox <mattknox_ca <at> hotmail.com> writes:
Wow, this looks great. But a little complex
Well, one could write functions for common tasks that fascilitate it a bit...
If you have any ideas for simplifying/improving things, we are certainly open to suggestions and would love the feedback. Being a sandbox package currently, there is no better time then now to get your ideas incorporated into the timeseries module.
Hi, I was just looking through this list for ideas on how I could better use scipy. My issue is that I'm working with time series data, with missing values, that is in half-hour increments. As far as I can tell, with the current implementation of timeseries many operations will only work if the data has a point for every increment of a built in frequency. This means I have to either put my data in hourly form, which would require averaging, or convert it to minute frequency with missing values, which expands the size of my data by 30x. Is there a way around this, where I could just process half-hourly data? Thanks for your help! Timeseries looks like a really useful package if I can get it to play well with my data! Ben Sulman