Folks, still in my exploring phase of Matplotlib's ecosystem I ran into following mismatch between the APIs of BoundaryNorm and Normalize.
See the following example: import matplotlib as mpl c = mpl.cm.get_cmap() bnorm = mpl.colors.BoundaryNorm([0,1,2], c.N) nnorm = mpl.colors.Normalize(0, 2) # This works: In [8]: c(nnorm(1.1)) Out[8]: (0.64199873497786197, 1.0, 0.32574320050600891, 1.0) # This doesn't: In [9]: c(bnorm(1.1)) (...) TypeError: 'numpy.int16' object does not support item assignment # But this works: In [10]: c(bnorm([1.1])) Out[10]: array([[ 0.5, 0. , 0. , 1. ]]) From the doc I would expect BoundaryNorm and Normalize to work the same way. I find the error sent by BoundaryNorm quite misleading. Should I fill a bug report for this? Thanks! Fabien ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
