我有一个系列，我用十进制值填充（在这种情况下为随机值）
In [240]:
s = pandas.Series([Decimal("423234.53463"),Decimal("4234.53463"),Decimal("4223434.53463"),Decimal("42654234.53463")])
In [241]: s
Out[241]:
0 423234.53463
1 4234.53463
2 4223434.53463
3 42654234.53463
dtype: object
当我尝试应用pct_change时：
In [242]: s.pct_change()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-243-5c16731f0315> in <module>()
----> 1 s.pct_change()
/Users/mike/.virtualenvs/dev/lib/python2.7/site-packages/pandas/core/generic.pyc in pct_change(self, periods, fill_method, limit, freq, **kwds)
3665
3666 rs = (data.div(data.shift(periods=periods, freq=freq,
-> 3667 axis=axis, **kwds)) - 1)
3668 if freq is None:
3669 mask = com.isnull(_values_from_object(self))
/Users/mike/.virtualenvs/dev/lib/python2.7/site-packages/pandas/core/ops.pyc in flex_wrapper(self, other, level, fill_value, axis)
676 self._get_axis_number(axis)
677 if isinstance(other, pd.Series):
--> 678 return self._binop(other, op, level=level, fill_value=fill_value)
679 elif isinstance(other, (pa.Array, pd.Series, list, tuple)):
680 if len(other) != len(self):
/Users/mike/.virtualenvs/dev/lib/python2.7/site-packages/pandas/core/series.pyc in _binop(self, other, func, level, fill_value)
1452 other_vals[other_mask & mask] = fill_value
1453
-> 1454 result = func(this_vals, other_vals)
1455 name = _maybe_match_name(self, other)
1456 return self._constructor(result, index=new_index).__finalize__(self)
TypeError: unsupported operand type(s) for /: 'Decimal' and 'float'
我考虑过使用
s = s.astype(float)
但我想在使用float牺牲精度之前先看一些解决方案。