[matplotlib-devel] Problem checking if masked arrays are finite in transforms.py

[Darren D. <dar...@co...>]

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)