Revision: 8588 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8588&view=rev Author: mdboom Date: 2010-07-28 18:48:14 +0000 (Wed, 28 Jul 2010)
Log Message: ----------- [3032853] Hist autorange bug using log and histtype Modified Paths: -------------- branches/v1_0_maint/lib/matplotlib/axes.py Modified: branches/v1_0_maint/lib/matplotlib/axes.py =================================================================== --- branches/v1_0_maint/lib/matplotlib/axes.py 2010-07-28 18:37:26 UTC (rev 8587) +++ branches/v1_0_maint/lib/matplotlib/axes.py 2010-07-28 18:48:14 UTC (rev 8588) @@ -7699,13 +7699,15 @@ x[0::2], x[1::2] = bins, bins + minimum = min(bins) + if align == 'left' or align == 'center': x -= 0.5*(bins[1]-bins[0]) elif align == 'right': x += 0.5*(bins[1]-bins[0]) if log: - y[0],y[-1] = 1e-100, 1e-100 + y[0],y[-1] = minimum, minimum if orientation == 'horizontal': self.set_xscale('log') else: # orientation == 'vertical' @@ -7716,7 +7718,7 @@ for m, c in zip(n, color): y[1:-1:2], y[2::2] = m, m if log: - y[y<1e-100]=1e-100 + y[y<minimum]=minimum if orientation == 'horizontal': x,y = y,x @@ -7729,19 +7731,19 @@ # adopted from adjust_x/ylim part of the bar method if orientation == 'horizontal': - xmin0 = max(_saved_bounds[0]*0.9, 1e-100) + xmin0 = max(_saved_bounds[0]*0.9, minimum) xmax = self.dataLim.intervalx[1] for m in n: xmin = np.amin(m[m!=0]) # filter out the 0 height bins - xmin = max(xmin*0.9, 1e-100) + xmin = max(xmin*0.9, minimum) xmin = min(xmin0, xmin) self.dataLim.intervalx = (xmin, xmax) elif orientation == 'vertical': - ymin0 = max(_saved_bounds[1]*0.9, 1e-100) + ymin0 = max(_saved_bounds[1]*0.9, minimum) ymax = self.dataLim.intervaly[1] for m in n: ymin = np.amin(m[m!=0]) # filter out the 0 height bins - ymin = max(ymin*0.9, 1e-100) + ymin = max(ymin*0.9, minimum) ymin = min(ymin0, ymin) self.dataLim.intervaly = (ymin, ymax) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. ------------------------------------------------------------------------------ The Palm PDK Hot Apps Program offers developers who use the Plug-In Development Kit to bring their C/C++ apps to Palm for a share of $1 Million in cash or HP Products. Visit us here for more details: http://p.sf.net/sfu/dev2dev-palm _______________________________________________ Matplotlib-checkins mailing list Matplotlib-checkins@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins