float(3) = 3.0 1. round()四舍五入对浮点数进行取舍 round(3.14) = 3 round(3.54) = 4 1. 2.
round函数只能对浮点数(写出来的1.2不是真的1.2,见上文)进行ROUND HALF EVEN舍入,decimal模块的接口就是对真的小数进行舍入: AI检测代码解析 >>> Decimal('1.265').quantize(Decimal('.00'), rounding=ROUND_HALF_EVEN) Decimal('1.26') >>> Decimal('1.275').quantize(Decimal('.00'), rounding=ROUND_...
基本转换 decimal_number = 3.75 integer_number = int(decimal_number) print(integer_number) # 输出: 3 # 示例2:负数转换 negative_decimal = -3.75 negative_integer = int(negative_decimal) print(negative_integer) # 输出: -3 # 示例3:结合round()函数进行四舍五入 rounded_number = round(3.75) ...
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...
First, though, we will need to install and import NumPy.# install numpy pip install numpy # import numpy import numpy as npNext, we will use np.array() function to convert the list of floats to integer.int_list = np.array(float_list).astype(int).tolist() print(int_list) # [1, ...
integer_number = int(rounded_number) # Or simply: int(round(float_number)) print(integer_number) Output: 8 You can refer to the below screenshot to see the output. Theround()function rounds to the nearest integer. If the decimal part is exactly 0.5, Python rounds to thenearest even num...
Python provides tools that may help on those rare occasions when you reallydowant to know the exact value of a float. Thefloat.as_integer_ratio()method expresses the value of a float as a fraction: >>> >>>x=3.14159>>>x.as_integer_ratio()(3537115888337719, 1125899906842624) ...
python标准库的解释及翻译round(number[, ndigits])Return the floating point value number rounded to ndigits digits after the decimal point. If ndigits is omitted, it returns the nearest integer to its input. Delegates to number.__round__(ndigits).For the built-in types...
而相比之下,整数则完全不需要担心这样的精度换算问题,这也是计算机语言中,需要特地区分整形(integer)和浮点型(float)的原因。Python中,选择用8 Byte=64 bit的存储空间,来表示浮点类型float(等价于C语言中的double类型)。并且,受益于更高效的编码,从数据的表示范围来看, 浮点数可以表示的最大范围要远大于整形。 那么...
To round every value down to the nearest integer, use np.floor(): Python >>> np.floor(data) array([[-1., -3., -1., 0.], [ 0., 0., -1., 0.], [-1., -1., 0., -1.]]) You can also truncate each value to its integer component with np.trunc(): Python >>>...