Hello all, Today I was working on a top-level histogram plotting function by exposing matplotlib's hist as a Graphics object and I ran into something that has stumped me. This is not surprising since I know very little about matplotlib and am not all that experienced with programming in general. I mainly wanted a nice simple histogram function that worked a lot like the current plot and plot3D. I got a working prototype done in a couple of hours but the code I had to resort to a bit of a kludge to get a piece to work the way that I wanted. I basically am mirroring how the scatter_plot.py works. My problem is how to establish the axis information (in self.get_minmax_data()) before I have computed the histogram. The 'xmin' and 'xmax' are functions of the data but the frequencies are a function of the bins computed by hist. I have solved this for now by running the histogram code twice, once when initializing the class and once when creating the matplotlib subplot. This seems like a waste. Does anybody have an idea of how to work around this or another part of Sage where this problem has been solved.
I have also tried to use matplotlib 'patches' which outputted by the hist function and add them one by one to the the subplot in _render_on_subplot(), but the result was shifted in a funny way and I was worried that I may be losing some of the generality provided by using the subplot's hist method for the graphics generation. I will post the patches to Sage if anybody is interested in their inclusion. Though I think that most people are happy working directly with matplotlib or finance.timeseries to really be interested. Thank you for your help. David Monarres -- To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/sage-support URL: http://www.sagemath.org
