rounded_number = number.quantize(Decimal('0.1'), rounding=ROUND_HALF_DOWN) print(rounded_number) # 输出:3.1 向上舍入 rounded_number = number.quantize(Decimal('0.1'), rounding=ROUND_CEILING) print(rounded_number) # 输出:
Then -1.5 is rounded down to -2. On the other hand, 3 // 2 returns 1 because both numbers are positive.The above example also illustrates that // returns a floating-point number when one of the operands is a float. This is why 9 // 3 returns the integer 3, and 5.0 // 2 ...
return type(number)(Decimal(number).quantize(exp, ROUND_HALF_UP)) print(round(4.115, 2), type(round(4.115, 2))) print(round(4.116, 2), type(round(4.116, 2))) print(round(4.125, 2), type(round(4.125, 2))) print(round(4.126, 2), type(round(4.126, 2))) print(round(2.5), ty...
(values are rounded to the closest multiple of 10 to the power minus ndigits; if two multiples are equally close, rounding is done toward the even choice) 同时,float类型采用双精度二进制存储(参照IEEE754标准),round函数使用的是二进制存储值,在舍入时会对结果产生影响,而round本身没有使用四舍五入...
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 ...
(values are rounded to the closest multiple of 10 to the power minus ndigits; if two multiples are equally close, rounding is done toward the even choice) 同时,float类型采用双精度二进制存储(参照IEEE754标准),在表示十进制数值时会产生舍入,round函数针对十进制处理舍入,其中会产生一些计算中的诡异...
float类型，即浮点数，是Python内置的对象类型；decimal类型，即小数类型，则是Python的标准库之一decimal...
if判断条件1: 执行语句1…… elif判断条件2: 执行语句2…… elif判断条件3: 执行语句3…… else: 执行语句4…… 回到顶部 循环语句 While 循环语句 循环控制语句 continue 用于跳过该次循环 break 则是用于退出循环 pass 是占位符(为了保持程序结构的完整性) ...
df.dtypescol1int64col2int64dtype:object 要强制使用单个dtype：df=pd.DataFrame(data=d,dtype=np.int...
Round everything to 1 decimal place:np.round(df, decimals=1) Deleting columns and rows Delete a column:df = df.drop('column_name', 1) Recoding data Based on value:df['var'] = df['var'].replace('oldval', 'newval') Subsetting data ...