I'm trying to convert a numpy.uint64 (which is outputted by numpy.sum()) to a decimal without losing precision with the Decimal module.
>>> 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
decimal.Decimal
无法理解NumPy输入,因此请在调用decimal.Decimal
之前,使用item
方法将numpy.uint64
转换为Python标量:
Decimal(np.sum(whatever).item())
就我而言,刚刚从熊猫0.20.3升级到0.21修复了它
您还可以在转换为十进制之前将其转换为浮点数:
Decimal(float(sum))
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