num = 12345.6789print("{:0>10.2f}".format(num)) # 输出格式为至少10位，小数点后保留2位，且右侧对齐的字符串 使用str.format()方法同时输出多个变量当你需要同时输出多个变量时，str.format()方法同样适用。你可以在字符串中预留多个{}占位符，然后依次将变量传入format()方法进行格式化输出。示例：name...
pi = 3.141592653589793 formatted_string = "Pi is approximately {:.2f} or {:.5f} decimal places.".format(pi, pi) print(formatted_string) # 输出：Pi is approximately 3.14 or 3.14159 decimal places.注意事项 在使用format函数时，有一些技巧和注意事项可以帮助你更有效地使用它。了解不同的...
decimal_places = 2:设置希望保留的小数位数为2位。 for row in matrix:遍历矩阵的每一行。 formatted_row = [format_number(num, decimal_places) for num in row]:对每个数字调用format_number函数进行格式化。 print(" ".join(formatted_row)):将格式化后的数字组合并打印。 第四步:调试和测试代码 在实际...
NumberFormatter+format(float number, str format)+formatAsPercentage(float number, int decimalPlaces)DecimalFormatter+formatToDecimal(float number, int decimalPlaces)PercentageFormatter+formatToPercentage(float number, int decimalPlaces) 在这个类图中,NumberFormatter作为主要的格式化类,它可以调用DecimalFormatter和...
percentage = f"{value:.2f}%" # format the value to a string with 2 decimal places and append a "%" sign print(percentage) # output: 50.00% 在Python中，我们可以使用多种方法来输出百分比。最常用的方法是使用print()函数和格式化字符串。从Python 3.6开始，推荐使用f-strings(格式化字符串字面...
decimal places: {:.2f}".format(pi) print(formatted_string) # 输出: Pi to two decimal places: 3.14 # 数字右对齐,总宽度为10个字符,并用0填充空位 number = 42 formatted_string = "Right aligned number: {:>10d}".format(number) print(formatted_string) # 输出: Right aligned number: 42 ``...
("Hexadecimal: %#x"%x)# 输出'Hexadecimal: 0xa'# 字符串格式化拓展示例print("Value of x is {}, My name is {}, I am {} years old".format(x,name,age))#使用format()方法进行字符串格式化print(f"Value of x is {x}, My name is {name}, I am {age} years old")# 使用f-string...
x = 1234.56789#Two decimal places of accuracyprint(format(x,'0.2f'))#'1234.57'#Right justified in 10 chars, one-digit accuracyprint(format(x,'>10.1f'))#'1234.6'#Left justifiedprint(format(x,'<10.1f'))#'1234.6 '#Centeredprint(format(x,'^10.1f'))#1234.6#Inclusion of thousands separator...
# Let's assume we have a dataframe dfdf = pd.DataFrame({ 'A': [1, 2, 3, 4], 'B': [0.1, 0.2, 0.3, 0.4]})# We want to format the values in column B as text with two decimal placesdf['C'] = df['B'].apply(lambda x: '{:.2f}'.format(x))print(df)SUBST...
with a colon to separate it from the field name that we saw before. After thecolon, we write “.2f”. This means we’re going to format afloat numberand that there should betwo digits after the decimal dot. So no matter what the price is, our function always prints two decimals. ...