David Huard <david.huard <at> gmail.com> writes: > > > Look at the timeseries package in scikits (only on svn i'm afraid). You'll find exactly what you're looking for. Conversion from daily to monthly or yearly time series is a breeze. Cheers, David > > 2008/3/13, Joris De Ridder <Joris.DeRidder <at> ster.kuleuven.be>: > > > I am new to the world of Python and numpy > Welcome. > <snip> > Assuming that yr, mth and rain are 1D arrays, you may try something along > > > [[average(rain[(yr == y) & (mth == m)]) for m in unique(mth[yr==y])] for y in unique(yr)] > > which gives you the monthly average rainfalls stored in lists, one for each year. >
David and Joris, Thank you both for your replies. At the moment I have gone with the timeseries option as I think investing some time in understanding it will aid me with future projects. I have a couple of questions but I'll post on scipy. Thanks again _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
