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NumPy is very strict about nan. But #Python #Pandas throws nan values away: s = Series([10, 20, 30, np.nan, 50]) s.sum() # np.float64(110.0) s.mean() # np.float64(27.5) s.count() # np.int64(4) Get stricter behavior with skipna=False: s.sum(skipna=False) # np.float64(nan)