In [28]: np.fix(Series([1,2,3], range(3))) --------------------------------------------------------------------------- Exception Traceback (most recent call last) C:\alei1\basic_mktneutral\<ipython console> in <module>() C:\Python26\lib\site-packages\numpy\lib\ufunclike.pyc in fix(x, y) 43 x = nx.asanyarray(x) 44 if y is None: ---> 45 y = nx.zeros_like(x) 46 y1 = nx.floor(x) 47 y2 = nx.ceil(x) C:\Python26\lib\site-packages\numpy\core\numeric.pyc in zeros_like(a) 92 if isinstance(a, ndarray): 93 res = ndarray.__new__(type(a), a.shape, a.dtype, order=a.flags.fnc) ---> 94 res.fill(0) 95 return res 96 try: C:\Python26\lib\site-packages\pandas\core\series.pyc in fill(self, value, method) 822 """ 823 if value is not None: --> 824 newSeries = self.copy() 825 newSeries[isnull(newSeries)] = value 826 return newSeries C:\Python26\lib\site-packages\pandas\core\series.pyc in copy(self) 342 343 def copy(self): --> 344 return Series(self.values.copy(), index=self.index) 345 346 #------------------------------------------------------------------------------- C:\Python26\lib\site-packages\pandas\core\series.pyc in __new__(cls, data, index, dtype, copy) 136 137 if index is None: --> 138 raise Exception('Index cannot be None!') 139 140 # This is to prevent mixed-type Series getting all casted to