> And for the work I'm doing, I have a > different number of observations and data points on different days, > so it's a pain that the current boxplot infrastructure expects all of > the boxes to be in a single array. Hence my questions.
Ah OK, now I get it. Sorry for being a bit slow today. So yes, there's a problem here. The sequence is transformed into an array with 'asarray', which obviously won't work if you have different sizes of dataset. But there's a trick, tested on numpy: import numpy set1 = (rand(50)+1) * 100 set2 = (rand(25)+2) * 100 data = array([set1,set2], dtype=numpy.object_) boxplot(data,positions=[732659.,732660.]) The trick here is to force the data as objects, and not as floats. Your array is in fact an array of arrays of different sizes. That's enough to fool asarray. ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys - and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
