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
i think the bigger problem is overriding the default behavior of the fill() method, which may contribute to other numpy / scipy functions not behaving correctly.
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