Andrew Hawryluk wrote: > Hopefully this isn't old news for you. Since the 0.98 release, the histogram > plot doesn't work properly with 2D arrays: it is quite slow and the output is > wrong. Passing a flattened array produces the quick, correct output that we > are accustomed to. Here is the test code I ran, and the attached image shows > the output compared with the previous version. > > import numpy as n > import matplotlib.pyplot as p > > a = n.random.normal(size=10000) > a = a.reshape((100,100)) # make a 2D array of normally-distributed random > numbers > p.hist(a) > > > Thanks for your work on matplotlib!
Hi Andrew, 2D arrays are now treated differently. An (N,M) 2D array is interpreted as M data-sets with N elements each, e.g. a = n.random.normal(size=10000) a = a.reshape((1000,10)) is interpreted as 10 data-sets with 1000 elements each. See histogram_demo_extended.py in examples/pylab_examples. To reproduce the old behaviour you should use pylab.hist(a.flat). Manuel > Andrew Hawryluk > Calgary, Canada > <<hist-comparison.png>> > > > ------------------------------------------------------------------------ > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------- > Sponsored by: SourceForge.net Community Choice Awards: VOTE NOW! > Studies have shown that voting for your favorite open source project, > along with a healthy diet, reduces your potential for chronic lameness > and boredom. Vote Now at http://www.sourceforge.net/community/cca08 > > > ------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-devel mailing list > Matplotlib-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel ------------------------------------------------------------------------- Sponsored by: SourceForge.net Community Choice Awards: VOTE NOW! Studies have shown that voting for your favorite open source project, along with a healthy diet, reduces your potential for chronic lameness and boredom. Vote Now at http://www.sourceforge.net/community/cca08 _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
