Given an array of integer counts c
, how can I transform that into an array of integers inds
such that np.all(np.bincount(inds) == c)
is true?
For example:
>>> c = np.array([1,3,2,2])
>>> inverse_bincount(c) # <-- what I need
array([0,1,1,1,2,2,3,3])
Context: I'm trying to keep track of the location of multiple sets of data, while performing computation on all of them at once. I concatenate all the data together for batch processing, but I need an index array to extract the results back out.
Current workaround:
def inverse_bincount(c):
return np.array(list(chain.from_iterable([i]*n for i,n in enumerate(c))))
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