Re: [Numpy-discussion] optimise operation in array with datetime objects

Thanks!

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### this is the loop I would like to optimize: ### looping over arrays is considered inefficient. ### what could be a better way? hours_array = dates_array.copy() for i in range(0, dates_array.size): hours_array[i] = dates_array[i].hour

You could try: np.fromiter((_.hour for _ in dates_li), dtype=np.int) or np.array([_.hour for _ in dates_li], dtype=np.int)

I used dates_li only for the preparation of example data. So let's suppose I have the array "dates_array" returned from a a function. How can the last part be improved: hours_array = dates_array.copy() for i in range(0, dates_array.size): hours_array[i] = dates_array[i].hour Or is such a loop accepable from the point of calculation efficiency? Thanks and greetings, Timmie