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On 11.02.2014 14:08, Daniele Nicolodi wrote:

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Hello,

I have two time series (2xN dimensional arrays) recorded on the same time basis, but each with it's own dead times (and start and end recording times). I would like to obtain two time series containing only the time overlapping segments of the data.

Does numpy or scipy offer something that may help in this?

I can imagine strategies about how to approach the problem, but none that would be efficient. Ideas?

or? st1 = 5

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np.concatenate((a1[:,st1:],a2[:,:a1.shape[1]-st1])) array([[ 5, 6, 7, 8, 9], [15, 16, 17, 18, 19], [ 5, 6, 7, 8, 9], [15, 16, 17, 18, 19]])

- Ray