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 to 2 decimal places using the round() function The round() function is Python’s built-in function for rounding float point numbers to the specified number of decimal places. You can specify the number of decimal places to round by providing a value in the second argument. The example...
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: Python >>> round(2.5) 2 Gasp! Check out how round() handles the number 1.5: Python >>> round(1.5) 2 ...
ROUND_UP: Always round away from zero. ROUND_CEILING: Always round towards positive infinity. With the decimal module, you can round numbers to the desired precision using the .quantize() method. In the example below, the ROUND_UP method has been used to round up the decimal to the neares...
DataFrame.round([decimals]) #Round a DataFrame to a variable number of decimal places. DataFrame.sem([axis, skipna, level, ddof]) #返回无偏标准误 DataFrame.skew([axis, skipna, level, …]) #返回无偏偏度 DataFrame.sum([axis, skipna, level, …]) #求和 ...
We must round off the numbers correctly based on our need, otherwise, the results can be unexpected. Python’s decimal module helps us to be more precise with decimal numbers. Need for decimal module Before actually putting this module to use, let’s see what precision are we talking ...
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 ...
round([decimals]) 将DataFrame四舍五入到指定的小数位数。 rpow(other[, axis, level, fill_value]) 对dataframe和其他对象逐元素进行指数幂运算。 rsub(other[, axis, level, fill_value]) 对dataframe和其他对象逐元素进行减法运算。 rtruediv(other[, axis, level, fill_value]) 对dataframe和其他对象逐...
decimal:提供了高精度的十进制运算,适用于需要更精确的数值计算场景。【02章节】 Python的第三方库 NumPy:用于数值计算基础库,提供多维数组和各种数学函数,用于高效地执行向量化操作。 Pandas:用于数据处理和分析的库,提供DataFrame数据结构,使数据清洗、转换更加方便。 Matplotlib:用于绘制各种类型的图形和可视化的库,是数...
Using round () function 18th Jun 2021, 5:28 AM Pragya + 3 SIMPLY USE " round(_,x) " AND PUT YOUR VALUE AT ' x ' HERE ' x ' IS THE NUMBER OF DIGITS AFTER DECIMAL POINT YOU WANT TO ROUND OFF. EX: no = 5.3425647 print(no) CODE: round (no,3) OUTPUT: 5.342 ...