This is just a minor question/problem with the new numpy.ma in version 1.1.0.
Because maximum and minimum in ma lack an accumulate attribute, I've duplicated the functionality using the maximum_fill_value/minimum_fill_value functions and doing something like: np.ma.masked_array(np.maximum.accumulate(np.ma.filled(x, np.ma.maximum_fill_value(x))), x.mask) In version 1.0.4 of numpy, maximum_fill_value/minimum_fill_value were located in ma's namespace so the above line would work. In the latest version, the ma module has an __all__ which does not include maximum_fill_value/minimum_fill_value and I'm forced to get them from numpy.ma.core (which doesn't seem like a very clean way of doing it). So I guess my question is: was this done intentionally and if so why, or can these functions be added to __all__ to get the old behavior back. Thanks for your help with this. -- Reggie Dugard <[EMAIL PROTECTED]> Merfin, LLC _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
