python - Decimal.quantize 舍入误差

Question

在使用 Decimal 数据类型时，我偶然发现了量化方法的问题，它似乎给出了舍入错误:

Decimal('1.0055').quantize(Decimal('0.000')) # Should output 1.006
>> Decimal('1.006') # CORRECT output
Decimal('1.0045').quantize(Decimal('0.000')) # Should output 1.005
>> Decimal('1.004') # INCORRECT output

为什么有时向上舍入，有时向下舍入？

Answer 1

tl;dr 这就是所谓的bankers' rounding .

默认舍入模式为

ROUND_HALF_EVEN (to nearest with ties going to nearest even integer)

这正是您所看到的:4 和 5 之间以及 5 和 6 之间的联系>，将转到偶数(分别为 4 和 6)。

如果您想要不同的舍入模式，则需要明确指定。

选择是:

ROUND_CEILING (towards Infinity),
ROUND_DOWN (towards zero),
ROUND_FLOOR (towards -Infinity),
ROUND_HALF_DOWN (to nearest with ties going towards zero),
ROUND_HALF_EVEN (to nearest with ties going to nearest even integer),
ROUND_HALF_UP (to nearest with ties going away from zero), or
ROUND_UP (away from zero).
ROUND_05UP (away from zero if last digit after rounding towards zero would have been 0 or 5; otherwise towards zero)

文档:https://docs.python.org/2/library/decimal.html#decimal.Context

请参阅 quantize() 的 rounding 参数:https://docs.python.org/2/library/decimal.html#decimal.Decimal.quantize