Thanks for sending the data and code. After playing around some I still don't have a confident guess as to the problem (or solution), but here is what I would look at more...
I issued plot(d[i][8:]) for i 0,1,...11 and looked at the shape of the lines. For the two problem boxes, the plots of the associated data have steep jumps between the 5th and 25th percentiles, when compared with the data associated with the "good" boxes. So, what you have calculated as the 5th and 25th percentiles are not necessarily calculated by boxplot as such because boxplot does not know that you are handing it percentiles of your underlying data: boxplot actually computes the percentiles assuming that the input _is_ the raw data. I would guess that if you gave boxplot the raw data you would not see this issue of missing whiskers. -- View this message in context: http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
