importmathdefround_down_float_to_2_decimals(num):returnmath.floor(num *100) /100print(round_down_float_to_2_decimals(4.6789))# 👉️ 4.67 可以使用相同的方法将浮点数向下舍入到小数点后 3 位。 importmathdefround_down_float_to_3_decimals(num):returnmath.floor(num *1000) /1000print(ro...
round()函数可以接受两个参数,第一个参数是要进行截断的浮点数,第二个参数是要保留的小数位数。为了截断浮点数后面的小数,可以将小数部分与整数部分相加后取整数部分。具体实现如下: 代码语言:txt 复制 import math def truncate_float(num, decimal_places): integer_part = int(num) # 获取整数部分 decimal...
整型(int): 通常被称为是整型或整数,是正或负整数,不带小数点。Python3 整型是没有限制大小的,可以当作 Long 类型使用,所以 Python3 没有 Python2 的 Long 类型。 浮点型(float): 浮点型由整数部分与小数部分组成,浮点型也可以使用科学计数法表示(2.5e2 = 2.5 x 102 = 250) 复数(complex): 复数由实数...
FloatProcessor- num: float+round_to_two_decimals() : float+format_to_two_decimals() : str+floor_to_two_decimals() : float 旅行图 让我们用一个旅行图的示例来说明使用上述三种方法处理浮点数的过程: 使用round函数 FloatProcessor->FloatProcessor FloatProcessor->FloatProcessor FloatProcessor-->FloatP...
It’s an algorithm! For example, the number 2.5 rounded to the nearest whole number is 3. The number 1.64 rounded to one decimal place is 1.6.Now open up an interpreter session and round 2.5 to the nearest whole number using Python’s built-in round() function:...
Here, we will create a list of floats that will be converted to integers in this tutorial. In your preferred Python IDE, run the line of code below.float_list = [1.2, 3.4, 5.6]As seen, the list of floats was created by concatenating three decimals in a square bracket and named as ...
3、decimal模块 decimal是Python核心库用于实现高精度小数运算模块。对比原生的float类型,Decimal类型能更好地保证计算精度,特别是货币计算或涉及其他高精度计算的场景。 rounding参数取值ROUND_HALF_UP, from decimal import Decimal, ROUND_HALF_UP In [127]: Decimal("3.124").quantize(Decimal("0.00"), rounding=...
这里的函数round(float numeral, remained decimals number)指的是向0方向进行四舍五入运算。这里均为保留两位小数,但是输出的结果中并非每一次的输出均能够让5进位。这样的时好时坏的函数,非常诡异!! (3)奇进偶舍现象 print(round(4.5)) # 4 print(round(5.5)) # 6 和上面类似,这里也同时出现了四舍五入...
3. 4. 5. 6. 强制四舍五入 使用decimal from decimal import Decimal, ROUND_HALF_UP def round(number, ndigits=None): """强制四舍五入""" exp = Decimal('1.{}'.format(ndigits * '0')) if ndigits else Decimal('1') return type(number)(Decimal(number).quantize(exp, ROUND_HALF_UP)...
The errors in Python float operations are inherited from the floating-point hardware, and on most machines are on the order of no more than 1 part in 2**53 per operation. That’s more than adequate for most tasks, but you do need to keep in mind that it’s not decimal arithmetic and...