It looks like the recent modification to transforms.py to update datalims only
when valid data are available is broken for numpy-1.04. In
tranforms.Bbox.update_from_data_xy, with numpy-1.04, the following line:
xym = ma.masked_where(~npy.isfinite(xy), xy)
fails with:
File "/usr/lib64/python2.5/site-packages/matplotlib/axes.py", line 2805, in
plot
self.add_line(line)
File "/usr/lib64/python2.5/site-packages/matplotlib/axes.py", line 1165, in
add_line
self._update_line_limits(line)
File "/usr/lib64/python2.5/site-packages/matplotlib/axes.py", line 1173, in
_update_line_limits
self.update_datalim( xydata )
File "/usr/lib64/python2.5/site-packages/matplotlib/axes.py", line 1221, in
update_datalim
self.dataLim.update_from_data_xy(xys, self.ignore_existing_data_limits)
File "/usr/lib64/python2.5/site-packages/matplotlib/transforms.py", line
699, in update_from_data_xy
xym = ma.masked_where(~npy.isfinite(xy), xy)
File "/usr/lib64/python2.5/site-packages/numpy/core/ma.py", line 641, in
__array_wrap__
domain = ufunc_domain[func]
KeyError: <ufunc 'isfinite'>
It looks like isfinite doesnt like getting a masked array as input. Is xy
always a masked array? If so, maybe that line could look like:
xym = ma.masked_where(~npy.isfinite(xy.data), xy)
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