getcontext().rounding = getattr(decimal, 'ROUND_CEILING') # It sets the precision of the decimal module to 10. getcontext().prec = 10 # Converting the integer 9 to a string and then converting it to a Decimal object. decimal_ = Decimal(1) / Decimal(str(9)) print('向上取整保留10位...
在Python中,我们可以使用内置的round()函数来截断浮点数后面的小数。不进行舍入的方法是将小数部分与整数部分相加后取整数部分,可以使用math模块中的floor()函数或者int()函数来实现...
To round to one decimal place, replace .2 with .1: Python >>> n = 7.126 >>> f"The value of n is {n:.1f}" 'The value of n is 7.1' When you format a number as fixed point, it’s always displayed with the precise number of decimal places that you specify: Python >>>...
round(5.5):rounds the float5.5to6. Example 2: Round a number to the given number of decimal places print(round(2.665,2))print(round(2.675,2)) Run Code Output 2.67 2.67 When the decimal2.675is converted to a binary floating-point number, it's again replaced with a binary approximation, ...
round(number[,ndigits]) 1. number:要四舍五入的数字。 ndigits(可选):四舍五入到的小数位数。 2.2 代码示例 以下是一个使用round函数的示例: # 进行四舍五入num=3.14159rounded_num=round(num,2)print(f"{num}rounded to two decimal places is{rounded_num}.") ...
defround_to_two_decimal_places(num):""" 将给定数字四舍五入到两位小数。 :param num: 需要四舍五入的数字 :return: 四舍五入后的数字 """returnround(num,2)# 示例调用result=round_to_two_decimal_places(2.71828)print(result)# 输出结果为 2.72 ...
The difference becomes significant if the results are rounded to the nearest cent:>>> >>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73 The Decimal result keeps a trailing zero, automatically inferring four ...
sys from decimal import * getcontext().rounding = ROUND_FLOOR sys.setrecursionlimit(100000) pyth...
您可以使用round()将数字四舍五入为最接近的整数:>>> round(2.3) 2 >>> round(2.7) 3 当数字以.5结尾时,round()会有一些意外的行为:>>> round(2.5) 2 >>> round(3.5) 4 2.5向下舍入到2,3.5向上舍入到4。大多数人认为以.5结尾的数字会被四舍五入,所以让我们仔细看看这是怎么回事。
Discover three techniques to round up numbers in Python: using Python round up methods like math.ceil() from the math module, the decimal module, and NumPy.