I wonder if that might be handled as a scikits-image extension, rather than core numpy?
I think Stefan and Nathaniel and Gary Strangman and others are saying we don't want to pay the price of a large memory hike for masking. I suspect that Nathaniel is right, and that a large majority of those of us who want 'missing data' functionality, also want what we've called ABSENT missing values, and care about memory.
FWIW, Matthew correctly interprets my concerns. I also have very large non-image datasets, so pushing the problem into a more custom extension (esp. one focused on images) doesn't help me much. -best Gary The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.