Hi
I've noticed that one of my codes is failing with the following
backtrace since updating to 0.98.5.1:
Traceback (most recent call last):
File "./plot_data.py", line 153, in
fig.savefig(plot_file)
File "/opt/local/lib/python2.5/site-packages/matplotlib/figure.py",
line 990, in savefig
self.canvas.print_figure(*args, **kwargs)
File "/opt/local/lib/python2.5/site-packages/matplotlib/backend_bases.py",
line 1419, in print_figure
**kwargs)
File
"/opt/local/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py",
line 323, in print_png
FigureCanvasAgg.draw(self)
File
"/opt/local/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py",
line 279, in draw
self.figure.draw(self.renderer)
File "/opt/local/lib/python2.5/site-packages/matplotlib/figure.py",
line 772, in draw
for a in self.axes: a.draw(renderer)
File "/opt/local/lib/python2.5/site-packages/matplotlib/axes.py",
line 1601, in draw
a.draw(renderer)
File "/opt/local/lib/python2.5/site-packages/matplotlib/legend.py",
line 347, in draw
bbox = self._legend_box.get_window_extent(renderer)
File "/opt/local/lib/python2.5/site-packages/matplotlib/offsetbox.py",
line 198, in get_window_extent
px, py = self.get_offset(w, h, xd, yd)
File "/opt/local/lib/python2.5/site-packages/matplotlib/offsetbox.py",
line 157, in get_offset
return self._offset(width, height, xdescent, ydescent)
File "/opt/local/lib/python2.5/site-packages/matplotlib/legend.py",
line 299, in _findoffset_best
ox, oy = self._find_best_position(width, height)
File "/opt/local/lib/python2.5/site-packages/matplotlib/legend.py",
line 699, in _find_best_position
consider = [self._get_anchored_bbox(x, bbox, self.parent.bbox) for
x in range(1, len(self.codes))]
TypeError: _get_anchored_bbox() takes exactly 5 arguments (4 given)
make: *** [data.png] Error 1
I can't remember seeing this with 0.98.5. This is clearly related to
the legend as if I remove the code that sets the legend:
x_axes.legend(([x1_plot], [x1_plot]), ("Duration",
"Amount"), numpoints=1, loc=0, borderpad=2, shadow=True)
then the plot is produced as expected. Is this a regression, or am I
doing something odd with the legend?
Cheers
Adam
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