Hello, I know this has to have a very simple answer, but stuck at this very moment and can't get a meaningful result out of np.mean()
In [121]: a = array([NaN, 4, NaN, 12]) In [122]: b = array([NaN, 2, NaN, 3]) In [123]: c = a/b In [124]: mean(c) Out[124]: nan In [125]: mean a --------> mean(a) Out[125]: nan Further when I tried: In [138]: c Out[138]: array([ NaN, 2., NaN, 4.]) In [139]: np.where(c==NaN) Out[139]: (array([], dtype=int32),) In [141]: mask = [c != NaN] In [142]: mask Out[142]: [array([ True, True, True, True], dtype=bool)] Any ideas? -- Gökhan
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