Wow, this looks great. But a little complex
Well, one could write functions for common tasks that fascilitate it a bit... I believe you. Time is the matter.
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. Well, since I am still a Python beginner somehow and still need to know how to use it efficiently for my data analysis I will not really be able to contribute to core. At my current state of py knowledge I can alredy write my own simple modules consisting of functions that I find useful.
Some things I can imagine are the following: create a tools directory under the timeseries tree. then there we could place things like * common frequency conversions: reduce to hourly values * error checking of measurement data: statistically and logically
Any idea when there will be a first binary release of all this together with maskedarray?
Nope. The inclusion of maskedarray in numpy is still in the air, timeseries may become a scikit sooner or later. Is it safe for me to replace/patch my current maskarray?
The timeseries package won't likely be moving anywhere until maskedarray moves somewhere else since it is dependent on it. I won't personally be providing any binaries while it is still in the sandbox either, but I am happy to provide advice on how to compile it on Windows. I have experience in compiling on linux but have to work on a windows box. Therefore an advice on that would be useful.
Is there a possibility to subscibe to SVN to get an email on chnages? Thanks for your responses. Timmie