Pierre GM wrote:

Eric, That's quite a handful you have with this dtype...

Here is a simplified example of how I made it:

dt = np.dtype({'names': ['a','b'], 'formats': ['f', 'f'], 'titles': ['aaa', 'bbb']})

From page 132 in the numpy book:

The fields dictionary is indexed by keys that are the names of the fields. Each entry in the dictionary is a tuple fully describing the field: (dtype, offset[,title]). If present, the optional title can actually be any object (if it is string or unicode then it will also be a key in the fields dictionary, otherwise itâ€™s meta-data).

--------

I put the titles in as a sort of additional documentation, and thinking that they might be useful for labeling plots; but it is rather hard to get the titles back out, since they are not directly accessible as an attribute, like names. Probably I should just omit them.

Eric

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:

dt.names

('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')])

np.ma.zeros((2,2), dt)

Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion