I am confused about the copy attribution of numpy.astype. I check out the material in a link; it said: By default, astype always returns a newly allocated array. If this is set to false, and the dtype, order, and subok requirements are satisfied, the input array is returned instead of a copy. Does it mean that it will change the original value of a ndarray object? Like: x = np.array([1, 2, 2.5]) x.astype(int, copy=False) But it seems that x still is the original value array([ 1., 2., 2.5]). What is the explanation? Continue reading...
