_block_histogramdd_multiarg(*args)
Slurps the result into an additional outer axis; this new axis will be used to stack chunked calls of the numpy function and add them together later.
The last three arguments _must :None:None:`be_` (bins, range, weights).
The difference between this function and _block_histogramdd_rect is that here we expect the sample to be composed of multiple arguments (multiple 1D arrays, each one representing a coordinate), while _block_histogramdd_rect expects a single rectangular (2D array where columns are coordinates) sample.
Call numpy.histogramdd for a multi argument blocked/chunked calculation.
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