From: <md...@us...> - 2008-09-18 06:09:12
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Revision: 6106 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6106&view=rev Author: mdboom Date: 2008-09-18 13:09:01 +0000 (Thu, 18 Sep 2008) Log Message: ----------- Fix interpolation in polar plots when theta values go negative. Thanks Jan Gillis for reporting. Modified Paths: -------------- trunk/matplotlib/CHANGELOG trunk/matplotlib/lib/matplotlib/projections/polar.py Modified: trunk/matplotlib/CHANGELOG =================================================================== --- trunk/matplotlib/CHANGELOG 2008-09-18 01:30:52 UTC (rev 6105) +++ trunk/matplotlib/CHANGELOG 2008-09-18 13:09:01 UTC (rev 6106) @@ -1,6 +1,8 @@ +2008-09-18 Fix polar interpolation to handle negative values of theta - MGD + 2008-09-14 Reorganized cbook and mlab methods related to numerical calculations that have little to do with the goals of those two - modules into a separate module numerical_methods.py + modules into a separate module numerical_methods.py Also, added ability to select points and stop point selection with keyboard in ginput and manual contour labeling code. Finally, fixed contour labeling bug. - DMK Modified: trunk/matplotlib/lib/matplotlib/projections/polar.py =================================================================== --- trunk/matplotlib/lib/matplotlib/projections/polar.py 2008-09-18 01:30:52 UTC (rev 6105) +++ trunk/matplotlib/lib/matplotlib/projections/polar.py 2008-09-18 13:09:01 UTC (rev 6106) @@ -56,6 +56,8 @@ def transform_path(self, path): vertices = path.vertices + t = vertices[:, 0:1] + t[t != (npy.pi * 2.0)] %= (npy.pi * 2.0) if len(vertices) == 2 and vertices[0, 0] == vertices[1, 0]: return Path(self.transform(vertices), path.codes) ipath = path.interpolated(self._resolution) @@ -168,6 +170,7 @@ """ self._rpad = 0.05 + self.resolution = kwargs.pop('resolution', self.RESOLUTION) Axes.__init__(self, *args, **kwargs) self.set_aspect('equal', adjustable='box', anchor='C') self.cla() @@ -195,7 +198,7 @@ self.transScale = TransformWrapper(IdentityTransform()) # A (possibly non-linear) projection on the (already scaled) data - self.transProjection = self.PolarTransform(self.RESOLUTION) + self.transProjection = self.PolarTransform(self.resolution) # An affine transformation on the data, generally to limit the # range of the axes This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |