I have the following list of values: x = [-0.04124324405924407, 0, 0.005249724476788287, 0.03599351958245578, -0.00252785423151014, 0.01007584102031178, -0.002510349639322063,...] and I want to calculate the empirical density function, so I think I need to calculate the empirical cumulative distribution function and I've used this code: counts = np.asarray(np.bincount(x), dtype=float) cdf = counts.cumsum() / counts.sum() and then I calculate this value: print cdf[0.01007584102031178] and I always get 1 so I guess I made a mistake. Do you know how to fix it? Thanks! Continue reading...
