Hi, Does anybody know how Zipf's law or how Zipfian distributions work, and how they relate to NumPy's `np.random.zipf`? I'm afraid I can't make head or tail of these results:
In [106]: np.random.zipf(2, size=(10)) Out[106]: array([ 1, 1, 1, 29, 1, 1, 1, 1, 1, 2]) (8x1, 1x2, 1x29) In [107]: np.random.zipf(2, size=(10)) Out[107]: array([75, 1, 1, 3, 1, 1, 1, 1, 1, 4]) (7x1, 1x3, 1x4, 1x75) In [108]: np.random.zipf(2, size=(10)) Out[108]: array([ 6, 17, 2, 1, 1, 2, 1, 20, 1, 2]) (4x1, 3x2, 1x6, 1x17, 1x20) Thanks! Stéfan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion