Eric, That's quite a handful you have with this dtype... So yes, the fix I gave works with nested dtypes and flexible dtypes with a simple name (string, not tuple). I'm a bit surprised with numpy, here. Consider:
('P', 'D', 'T', 'w', 'S', 'sigtheta', 'theta')
So we lose the tuple and get a single string instead, corresponding to the right-hand element of the name.. But this single string is one of the keys of dt.fields, whereas the tuple is not. Puzzling. I'm sure there must be some reference in the numpy book, but I can't look for it now.
Anyway: Prior to version 6127, make_mask_descr was substituting the 2nd element of each tuple of a dtype.descr by a bool. Which failed for nested dtypes. Now, we check the field corresponding to a name, which fails in our particular case.
I'll be working on it...
On Dec 2, 2008, at 1:59 AM, Eric Firing wrote:
dt = np.dtype([((' Pressure, Digiquartz [db]', 'P'), '<f4'), ((' Depth [salt water, m]', 'D'), '<f4'), ((' Temperature [ITS-90, deg C]', 'T'), '<f4'), ((' Descent Rate [m/s]', 'w'), '<f4'), ((' Salinity [PSU]', 'S'), '<f4'), ((' Density [sigma-theta, Kg/m^3]', 'sigtheta'), '<f4'), ((' Potential Temperature [ITS-90, deg C]', 'theta'), '<f4')])