On 2012/10/10 3:07 AM, Anand Sivaramakrishnan wrote: > Thanks for the many useful responses - I eventuallyfound by experiment > that imshow( interpolation='nearest' works *if* I write a png file. > Saving a pdf file mushed up my crisp pixel boundaries. However, saving > as png, then using (mac osx) preview to convert to pdf worked fine. > Go figure()!
This doesn't seem right to me, that pdf would be "mushed". Would you supply an example, please? Ideally a simple script with the png result and the mpl pdf result? Eric > >> >> >> I have solved this problem earlier using figimage(), but that was >> a lot of work (I had to create a pixel-by-pixel array with all >> greyscale values set myself, and then I was working in pixel >> coordinates rather than my data coordinates). Has anyone figured >> out how to get imshow to stop smoothing the image? Using imshow(… >> interpolation='none'…) or imshow(… interpolation=None…) raise >> exceptions. >> >> I found NonUniformImage too hard to figure out from the documentation. >> >> >> ------------------------------------------------------------------------------ >> Don't let slow site performance ruin your business. Deploy New >> Relic APM >> Deploy New Relic app performance management and know exactly >> what is happening inside your Ruby, Python, PHP, Java, and .NET app >> Try New Relic at no cost today and get our sweet Data Nerd shirt too! >> http://p.sf.net/sfu/newrelic-dev2dev >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> <mailto:Matplotlib-users@lists.sourceforge.net> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > > > > ------------------------------------------------------------------------------ > Don't let slow site performance ruin your business. Deploy New Relic APM > Deploy New Relic app performance management and know exactly > what is happening inside your Ruby, Python, PHP, Java, and .NET app > Try New Relic at no cost today and get our sweet Data Nerd shirt too! > http://p.sf.net/sfu/newrelic-dev2dev > > > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
