This doesn't work: sage: list_plot([[0, 0.7886751345948214], [0.01, 0.788675134595], [0.02, 0.788675134595], [0.03, 0.788675134595], [0.04, 0.788675134595], [0.05, 0.788675134595], [0.06, 0.788675134595], [0.07, 0.788675134595], [0.08, 0.788675134595], [0.09, 0.788675134595], [0.1, 0.788675134595]])
The y-values are (almost) all the same, but matplotlib gets stuck trying to decide on the ticks: /opt/sage/local/lib/python2.6/site-packages/matplotlib/axis.pyc in get_minorticklabels(self) 1076 def get_minorticklabels(self): 1077 'Return a list of Text instances for the minor ticklabels' -> 1078 ticks = self.get_minor_ticks() 1079 labels1 = [tick.label1 for tick in ticks if tick.label1On] 1080 labels2 = [tick.label2 for tick in ticks if tick.label2On] /opt/sage/local/lib/python2.6/site-packages/matplotlib/axis.pyc in get_minor_ticks(self, numticks) 1190 'get the minor tick instances; grow as necessary' 1191 if numticks is None: -> 1192 numticks = len(self.get_minor_locator()()) 1193 1194 if len(self.minorTicks) < numticks: /opt/sage/local/lib/python2.6/site-packages/matplotlib/ticker.pyc in __call__(self) 1424 1425 # don't create minor ticks on top of existing major ticks -> 1426 diff = 0.5 * abs(locs[1] - locs[0]) 1427 locs = [l for l in locs if (np.abs(l - majorlocs) > diff).all()] 1428 IndexError: index out of bounds It seems like list_plot should return something in this case. What matplotlib magic do we need to get some kind of plot? If I plot a constant function with plot(), it works fine. Ideas? Dan -- --- Dan Drake ----- http://mathsci.kaist.ac.kr/~drake -------
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