Timeline for Pythonic efficient way to compute the mean of two successives arrays and add the resulted array between them

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Oct 30, 2018 at 2:51	comment	added	ZisIsNotZis		If you look at the documentation of `np.mean` above, that don't make sense since `np.mean` only take *one* argument. Running your code will result in `TypeError: tuple indices must be integers or slices, not list`
Oct 29, 2018 at 11:34	comment	added	Taylor		np.mean([1,2,3],[4,5,6]) this what l mean @ZisIsNotZis
Oct 29, 2018 at 5:40	comment	added	ZisIsNotZis		I believe `np.mean` take one array argument only: `np.mean(a, axis=None, dtype=None, out=None, keepdims=<no value>)`. What do you mean by `np.mean(my_data[i][j],my_data[i][j+1],axis=0)`?
Oct 28, 2018 at 14:29	comment	added	Taylor		@JohnZwinck, l can't make them into a single multidimensional array because each my_data[i] is a data example which is different from my_data[j] where i !=j. So the process l defined for computing the means of two successive arrays concern each my_data[i] , but can't for example compute the mean of the last array of my_data[i] and the first array of my_data[i+1]. Hope it's clear.
Oct 28, 2018 at 14:23	comment	added	Taylor		for instace my_data[0]=[ [0.45,0.12,...,017 ],[0,0.13,...,0.78 ],...,[0.23, 0.17,...,0.98] ]
Oct 28, 2018 at 14:21	comment	added	John Zwinck		Why do you have an array of arrays? It is no better than a list of arrays. Try to get all your data into a single multidimensional array.
Oct 28, 2018 at 14:18	history	asked	Taylor	CC BY-SA 4.0