tag:blogger.com,1999:blog-6991642647631426552.post1899403524798809892..comments2024-02-19T08:06:10.725-05:00Comments on Linux Living: Pylab, R, and QtiPlot Plotting ComparedInkhornhttp://www.blogger.com/profile/14993876569672491763noreply@blogger.comBlogger5125tag:blogger.com,1999:blog-6991642647631426552.post-14769097984507598642015-03-11T20:36:55.915-04:002015-03-11T20:36:55.915-04:00The qtiplot was sure done the hard way. Just copy ...The qtiplot was sure done the hard way. Just copy the 5 columns of data into the data sheet. Mark the two error columns using I in the block X Y Z I at the top. Select all columns with your mouse. Last go to Plot and select line. Game over.Anonymoushttps://www.blogger.com/profile/09463460480058814305noreply@blogger.comtag:blogger.com,1999:blog-6991642647631426552.post-79232386331875542602014-09-10T15:42:02.947-04:002014-09-10T15:42:02.947-04:00However, please pay $20 at least once in your life...However, please pay $20 at least once in your lifetime to help the developer.<br />Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6991642647631426552.post-28424320300429052402013-04-09T08:30:47.859-04:002013-04-09T08:30:47.859-04:00QtiPlot es open-source, and you can download the s...QtiPlot es open-source, and you can download the source code for free. If you don't want to compile it yourself, you can buy a binaries package including support for about 20€ a year (the cheapest license).Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6991642647631426552.post-79487872542186833232010-07-07T15:17:43.653-04:002010-07-07T15:17:43.653-04:00I've found MagicPlot recently. It's not op...I've found MagicPlot recently. It's not open source, but it's free for non-commercial. Nonlinear curve fitting and multipeak fitting in MagicPlot are very useful.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6991642647631426552.post-15080743181561521462010-06-30T14:49:23.342-04:002010-06-30T14:49:23.342-04:00Qtiplot is great, but has a strange licence (open ...Qtiplot is great, but has a strange licence (open source, but licence fee ?). You could also check SciDAVIS (http://scidavis.sourceforge.net/index.html) a fork of QtiPlot.<br /><br />Pylab and R would also compete with Scilab and Octave.Anonymousnoreply@blogger.com