The problem I face is this: I would like to store lots of time-dependend data in an EArray, where the extensible dimension represents the date. However, the size of the other dimensions are such that even an array slice of one date does not fit into memory. E.g. my EArray is defined with a shape of (40000, 20000, 4, 0), UInt16. When I want to extend the EArray with a new date slice, I have to append the new slice at once, which does not work because a numpy array of (40000, 20000, 4, 1) is too large to fit into memory. Is there a way to append an uninitialized array slice in a memory efficient way, and fill it part by part later?
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