I have an array from which I want to select a number of rows, so that the rows selected don't vary if I repeat the sampling process. In my following code, this is not the case; each time I run the selecting process, I get a different array: points array([[ 4.926, 46.153], [ 5.428, 46.009], [ 5.373, 45.961], ..., [ 2.404, 49.008], [ 2.387, 49.074], [ 1.825, 49.096]], shape=(34806, 2)) sel = np.random.choice(points.shape[0], size=6, replace=False) points_sampled = points[sel] points_sampled array([[ 1.862, 48.238], [ 5.984, 46.951], [ 4.838, 47.172], [ 7.082, 49.022], [ 3.39 , 50.299], [ 3.099, 50.318]]) What would be the simplest way to achieve this? Continue reading...
