Thanks for the inputs... perhaps it will provide the impetus for future postings as well...
chris On Aug 29, 2009, at 11:49 AM, John Hunter wrote: > On Sat, Aug 29, 2009 at 1:12 PM, Eric Firing<efir...@hawaii.edu> > wrote: > >> This looks interesting. I successfully ran your program by using >> copy >> and paste to get it into a file, but for the future I certainly >> recommend that you attach such a file directly--file attachments >> generally work very well these days, but bad things can happen to >> code >> included as inline text. I haven't contributed to matplotlib or numpy even though I've used them for some years now, so I wasn't sure about the "etiquette" of file attachments. The other thing I recommend is do not use the pylab namespace for any > > of the numerics. pylab is getting all the numerical functions from > numpy, so if you > > import numpy as np > > and then refer to any numerical functions you need as np.somefunc. Point well taken. Since pylab exposes most of the numpy calls I use, I typically include pylab instead for nump. > > Finally, for the functions to be suitable for inclusion in a > production package like numpy or matplotlib.mlab, you should not use > any print statements in the function, but rather a combination of > warnings.warn or exceptions or if it for matplotlib, use the > verbose.report infrastructure. That way users can configure how much > verbosity they want, where the output should be directed, etc. Point also well taken. I figured out when there were problems, but even after 7 years of writing large Python package, I haven't found the best way to handle exceptions. Usually I purposely cause a "crash" so I don't miss the fact that the code had ill formed data. > > After a cleanup, you may want to check with numpy or scipy to see of > it could find a home there. There was a discussion at scipy on the > need to improve scipy.interpolate and this seems to go part of the way > toward that objective. So I would start there. I'll send it along to the scipy people. I figured since I figured out a relatively simple solution to a problem that is often encountered, it might find use even in its primitive form. I'll add the URLs to the WIkipedia references as well. > > JDH ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
