输出ROUND_HALF_EVEN,即Round to nearest with ties going to nearest even integer方式进行进位。 我们我们要进行正确的四舍五入,我们将rounding指定为ROUND_HALF_UP即可。我们来看代码: fromdecimalimportDecimalfromdecimalimportROUND_HALF_UP,ROUND_
Round to nearest Fields: AwayFromZero ToEven A round-to-nearest operation takes an original number with an implicit or specified precision; examines the next digit, which is at that precision plus one; and returns the nearest number with the same precision as the original number. For positive nu...
ROUND_HALF_EVEN (to nearest with ties going to nearest even integer), ROUND_HALF_UP (to nearest with ties going awayfromzero),orROUND_UP (awayfromzero). ROUND_05UP (awayfromzeroiflast digit after rounding towards zero would have been 0or5; otherwise towards zero) 直接阅读上面的解释十分抽象,...
由于 python3 包括python2.7 以后的round策略使用的是decimal.ROUND_HALF_EVEN 即Round to nearest wi...
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),orROUND_UP(away from ...
6. Round to Nearest Even (Bankers' Rounding) Write a Python program to configure rounding to round to the nearest integer, with ties going to the nearest even integer. Use decimal.ROUND_HALF_EVEN Click me to see the sample solution
0.3 False补充：round 函数对应IEEE 754定义的第一种 Rounding 方法 "Round to nearest, ties to ...
1. Divide it by the unit to which it is to be rounded 2. Round it to the nearest whole number, unless it ends in exactly .5 3. If it ends in exactly .5, then round towards the nearestevenwhole number 4. Multiply it by the unit to which it is to be rounded ...
Python's round() function uses "round half to even" as its default rounding mode when you omit the second argument. Rounding half to even (bankers’ rounding) is when a number is exactly halfway between two integers, it is rounded to the nearest even integer. This technique is useful sin...
# Round to nearest dollar rounded_sales = np.round(sales_data, 0) print(rounded_sales) Output: [[1235. 2346. 3457.] [4568. 5679. 6789.]] I executed the above example code and added the screenshot below. NumPy’s np.round() can handle complex, multi-dimensional data effortlessly. Th...