Howdy, On Wed, Feb 24, 2010 at 11:27 AM, Fernando Perez <fperez....@gmail.com> wrote: > OK, since I know people are busy, I took silence as acquiescence. > Committed in r8151, please let me know if I messed anything up and > I'll try to fix it. I'm used to the numpy docstring standard, but I > tried to adapt it to the mpl one by looking at the rest of pyplot, > let me know if it needs fine-tuning.
While chatting today with John, he suggested that a better api for this would be to return an *array* of supblots, so that one could index them with a[i,j] for the plot in row i, column j. I've implemented this already, but before committing it, I have one doubt: what to do when nrows==ncols==1, the single subplot case? I'm inclined to return only the subplot instead of a one-element array, so that one can say f, a = fig_subplot() a.plot(...) instead of having to do f, a = fig_subplot() a[0].plot(...) But this means the return value of the function would be: - fig, axis if nr=nc=1 - fig, axis_array in all other cases. so it's a bit ugly. I think this is a case where practicality beats purity and my nose tells me to go for the less pretty but more convenient api, but I'm happy to get feedback. The return code reads currently: # Reshape the array to have the final desired dimension (nrow,ncol), though # discarding unneeded dimensions that equal 1. If we only have one # subplot, just return it instead of a 1-element array. if nplots==1: return fig, axarr[0] else: return fig, axarr.reshape(nrows, ncols).squeeze() Once we settle this design decision, I'll update the docstring and example and will post the patch for final review before committing. Cheers, f ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel