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Re: [matplotlib-devel] nxutils
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From: Benjamin R. <ben...@ou...> - 2011-11-18 05:21:56
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Huh? Nxutils removed? Then how am I still using points_inside_poly? And, if I remember right, Path uses that to calculate contains(). Ben Root On Thursday, November 17, 2011, Eric Firing <ef...@ha...> wrote: > On 11/17/2011 10:19 AM, Michael Droettboom wrote: >> Most of what was in nxutils has been superseded by things in Numpy, and >> it makes more sense for it to be over there. >> >> In the case of points_inside_poly, you can use the Path object in >> path.py and the "contains_point" method. >> >> Mike > > Mike, > > This, however, brings us back to the plea by Volker Blum: > > http://www.mail-archive.com/mat...@li.../msg22669.html > > There is a real tension between the need to clean things up and simplify > them, and users' desire for minimal loss of backwards compatibility. > Personally, my instincts are in the "clean it up" camp, but a good > balance has to be found. > > nxutils was definitely a vestige of an earlier era; but I don't think it > went through any official, publicized, deprecation process, did it? > Maybe it didn't need to; I don't know. Perhaps we need to formulate and > write down a deprecation policy. > > Eric > >> >> On 11/17/2011 12:03 PM, James Evans wrote: >>> >>> All, >>> >>> I have not touched the code for several months, so it has taken me up >>> until just now to realize that nxutils has been removed from the build. >>> >>> I there any real reason for this? Particularly when you consider that >>> there are still functions present that use it and now they just fail. >>> >>> In particular I am referring to ‘mlab.inside_poly’. In my case I was >>> using ‘nxutils.points_inside_poly’ directly, but the end result is the >>> same. >>> >>> Thanks, >>> >>> --James Evans >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> All the data continuously generated in your IT infrastructure >>> contains a definitive record of customers, application performance, >>> security threats, fraudulent activity, and more. Splunk takes this >>> data and makes sense of it. IT sense. And common sense. >>> http://p.sf.net/sfu/splunk-novd2d >>> >>> >>> _______________________________________________ >>> Matplotlib-devel mailing list >>> Mat...@li... >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >> >> >> >> ------------------------------------------------------------------------------ >> All the data continuously generated in your IT infrastructure >> contains a definitive record of customers, application performance, >> security threats, fraudulent activity, and more. Splunk takes this >> data and makes sense of it. IT sense. And common sense. >> http://p.sf.net/sfu/splunk-novd2d >> >> >> >> _______________________________________________ >> Matplotlib-devel mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > > > ------------------------------------------------------------------------------ > All the data continuously generated in your IT infrastructure > contains a definitive record of customers, application performance, > security threats, fraudulent activity, and more. Splunk takes this > data and makes sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-novd2d > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > |
