Hi, while adding the step-histogram I learned about the change of numpy.histogram. As MPL trunk relies in numpy 1.1, I think its a good idea to switch to the new histogram, i.e. use "new=True". Indeed, this is required to be able to allow to give bin-edges, which is possible with MPL 0.91. However, while keeping API compatibility on the one hand by allowing to provide bin-edges, this step also breaks API compatibility since the definition of bins has changed:
numpy 1.0.4 In [1]:from numpy import * In [2]:random.seed(18) In [3]:x = random.random(100) In [4]:histogram(x, bins=array([0,0.1,0.2])) Out[4]:(array([11, 11, 78]), array([ 0. , 0.1, 0.2])) numpy 1.1.0.dev5106' In [1]:from numpy import * In [2]:random.seed(18) In [3]:x = random.random(100) In [4]: histogram(x, bins=array([0,0.1,0.2]),new=True) Out[4]: (array([11, 11]), array([ 0. , 0.1, 0.2])) How should this be handled? Follow numpy, breaking API compatibility and point to the API change of histogram? Or keeping API compatibility with MPL0.91 and write a wrapper function? I would prefer the first option... Manuel ------------------------------------------------------------------------- This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
