Python：statistics 库高级用法举例和应用详解

import statistics  # 导入statistics模块

import statistics  # 导入statistics模块

# 场景：一个商店的一周销售额数据
sales = [100, 150, 200, 250, 300, 350, 400]  # 定义一组销售数据

mean_sales = statistics.mean(sales)  # 计算平均值
print(f"The mean sales is {mean_sales}")  # 输出平均值

median_sales = statistics.median(sales)  # 计算中位数
print(f"The median sales is {median_sales}")  # 输出中位数

stdev_sales = statistics.stdev(sales)  # 计算标准差
print(f"The standard deviation of sales is {stdev_sales}")  # 输出标准差

import statistics  # 导入statistics模块

# 场景：一组学生的考试成绩
grades = [85, 93, 87, 85, 92, 90, 85]  # 定义学生成绩数据

mode_grade = statistics.mode(grades)  # 计算众数
print(f"The mode of grades is {mode_grade}")  # 输出众数

# 场景：学生课外活动分数及对应权重
activities = [80, 85, 90, 92]  # 活动分数
weights = [0.2, 0.3, 0.25, 0.25]  # 对应权重

weighted_mean_activities = statistics.mean([a * w for a, w in zip(activities, weights)])  # 计算加权平均值
print(f"The weighted average of activities is {weighted_mean_activities}")  # 输出加权平均值

import statistics  # 导入statistics模块

# 场景：实验数据
data = [13.5, 14.7, 13.9, 14.8, 15.1, 14.3, 15.0]  # 定义实验数据

variance_data = statistics.variance(data)  # 计算方差
print(f"The variance of the data is {variance_data}")  # 输出方差

median_high_data = statistics.median_high(data)  # 计算应用高斯修正后的中位数
print(f"The high median of the data is {median_high_data}")  # 输出高斯修正后的中位数