Hi All, I'm a new matplotlib user on a Windows XP machine running mpl0.99.0 under Python 2.5. I'm using the default rc file.
While reading through the excellent matplotlib "how-to" tutorial (http://matplotlib.sourceforge.net/faq/howto_faq.html), I came across two useful scripts: one to save a figure with a transparent background, and one to resize axes automatically so that labels aren't cut off. I was able to run both these examples given on the "how-to" successfully. However, I ran into trouble when trying to combine them as follows: ===== import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms fig = plt.figure() ax = fig.add_subplot(111) ax.plot(range(10)) ax.set_yticks((2,5,7)) labels = ax.set_yticklabels(('really, really, really', 'long', 'labels')) def on_draw(event): bboxes = [] for label in labels: bbox = label.get_window_extent() # the figure transform goes from relative coords->pixels and we # want the inverse of that bboxi = bbox.inverse_transformed(fig.transFigure) bboxes.append(bboxi) # this is the bbox that bounds all the bboxes, again in relative # figure coords bbox = mtransforms.Bbox.union(bboxes) if fig.subplotpars.left < bbox.width: # we need to move it over fig.subplots_adjust(left=1.1*bbox.width) # pad a little fig.canvas.draw() return False fig.canvas.mpl_connect('draw_event', on_draw) plt.savefig('test.png', transparent=True) ===== In this case, the saved png file is transparent, but the original set of axes, labels, and plot are visible as well (basically, I have two identical plots shifted over one another on a transparent background). Is there a way to suppress the original output (something akin to "fig.canvas.erase()" or "fig.canvas.clear()", but I can't seem to figure it out) so that the output png only shows the shifted axes and not both sets? Thanks in advance! Brian -- View this message in context: http://old.nabble.com/Transparency-with-fig.canvas.mpl_connect-tp27724532p27724532.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ 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-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
