我试图将numpy.uint64(由numpy.sum()输出)转换为小数而不会丢失Decimal模块的精度。
>>> from decimal import Decimal
>>> import numpy as np
>>>
>>> sum = np.sum(1000000000000000000)
>>> type(sum)
<type 'numpy.int64'>
>>> Decimal(sum)
Decimal('1000000000000000000')
>>>
>>> sum = np.sum(1000000000000000000000)
>>> type(sum)
<type 'long'>
>>> Decimal(sum)
Decimal('1000000000000000000000')
>>>
>>> sum = np.sum(10000000000000000000)
>>> type(sum)
<type 'numpy.uint64'>
>>> Decimal(sum)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python2.7/decimal.py", line 657, in __new__
raise TypeError("Cannot convert %r to Decimal" % value)
TypeError: Cannot convert 10000000000000000000 to Decimal
答案 0 :(得分:2)
decimal.Decimal
不了解NumPy输入,因此在调用numpy.uint64
之前将decimal.Decimal
转换为item
method的Python标量:
Decimal(np.sum(whatever).item())
答案 1 :(得分:0)
在我的情况下,刚刚从pandas 0.20.3升级到0.21修复了它