On this thread: http://www.mail-archive.com/matplotlib-devel@lists.sourceforge.net/msg05383.html
clip_on was a suggested way of getting around the clipping that happens at the edge of a frame. In the Sage project, we are always setting the limits on the axes via set_xlim and set_ylim. Is there any way to get the lines and circles that pass across the edge of the usual clip boundary to still be drawn, even if we have set the xlim and ylim of the axis? Basically (using an example from the gallery), is there a way to get the scatter plot circles below not clipped, while still having the y-axis only go from -2 to 2? If not, is there a way to easily calculate the protrusion of the various objects, like the circles below, so we know how much to adjust the axes to just include the circles? import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = np.linspace(0r,2*np.pi,100r) y = 2*np.sin(x) ax = fig.add_subplot(1,1,1) q=ax.scatter(x,y) ax.set_ylim([-2,2]) q.set_clip_on(False) ax.set_clip_on(False) ax.spines['left'].set_position(('outward',10)) ax.spines['bottom'].set_position(('outward',10)) ax.spines['top'].set_color('none') ax.spines['right'].set_color('none') ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') fig.savefig('test.png') Thanks, Jason ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel