I have a time series that I want to split into contiguous groups differentiated by a condition. I didn't find a vectorized way to that, so I ended up doing a for loop...
I know there are split functions that split arrays into equal lengths subarrays, but is there a swell trick to return a sequence of arrays separated by a condition ?
For instance, I would like to do something like:
>>> a = array([1,1,1,1,1,5,1,1,1,1,1,1,6,2,1,1])
>>> a.argsplit(a>1)
[[0,1,2,3,4], [6,7,8,9,10,11], [14,15]]
Thanks,
David
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