方差计算,使用类和常规方式

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import random   def calculate_mean(data):     return sum(data) / len(data)   def calculate_median(data):       sorted_data = sorted(data)       n = len(sorted_data)       if n % 2 == 0:           return (sorted_data[n//2 - 1] + sorted_data[n//2]) / 2       else:           return sorted_data[n//2]   def calculate_variance(data):       mean = calculate_mean(data)       return sum((x - mean) ** 2 for x in data) / len(data)   def calculate_standard_deviation(data):       variance = calculate_variance(data)       return variance ** 0.5   class Cal:  # 创建一个人类     """定义计算类"""     def __init__(self, data):  # 构造方法                   self.data=data     def run(self):  # 定义跑的方法         print(self.eye)     def calculate_mean(self):         temp=sum(self.data) / len(self.data)                   return sum(self.data) / len(self.data)       def calculate_median(self):               sorted_data = sorted(self.data)               n = len(sorted_data)               if n % 2 == 0:                   return (sorted_data[n//2 - 1] + sorted_data[n//2]) / 2               else:                   return sorted_data[n//2]           def calculate_variance(self):               mean = calculate_mean(self.data)               return sum((x - mean) ** 2 for x in self.data) / len(self.data)           def calculate_standard_deviation(self):               variance = calculate_variance(self.data)               return variance ** 0.5           def main():       source = input("请选择数据来源: 1.系统自动生成随机数；2.键盘输入一组数据 ")       if source == '1':           data = [random.randint(1, 100) for _ in range(11)]       elif source == '2':           data = []           while True:               try:                   num = input("请输入数字(直接输入回车退出): ")                   if num == '':                       break                   data.append(float(num))               except ValueError:                   print("请输入有效数字！")       else:           print("输入错误！")       if data:         cal1 = Cal(data)  # 创建人类的实例           mean = calculate_mean(data)           median = calculate_median(data)           std_dev = calculate_standard_deviation(data)           print(f"序列为: {data}, 平均值: {mean:.2f}, 标准差: {std_dev:.2f}, 中位数: {median:.2f}")         print(f"序列为: {data}, 平均值: {cal1.calculate_mean():.2f}, 标准差: {cal1.calculate_standard_deviation():.2f}, 中位数: {cal1.calculate_median():.2f}")         #cal1.calculate_mean()              if __name__ == "__main__":       main()