bmi计算公式Python：从基础逻辑到自动化健康数据分析全解析

基础BMI计算器
def calculate_basic_bmi():
    try:
        # 获取用户输入
        weight = float(input("请输入您的体重 (kg): "))
        height_cm = float(input("请输入您的身高 (cm): "))
        # 单位转换：厘米转米
        height_m = height_cm / 100
        # 计算BMI
        bmi = weight / (height_m  2)
        # 输出结果并保留两位小数
        print(f"您的BMI指数为: {bmi:.2f}")
    except ValueError:
        print("输入无效，请输入数字！")
运行函数
if __name__ == "__main__":
    calculate_basic_bmi()
        

class HealthTracker:
    def __init__(self, name, weight, height_cm):
        self.name = name
        self.weight = weight
        self.height_m = height_cm / 100
        self.bmi = None
        self.status = ""
    def calculate_bmi(self):
        if self.weight > 0 and self.height_m > 0:
            self.bmi = round(self.weight / (self.height_m  2), 2)
            self.evaluate_status()
            return self.bmi
        return None
    def evaluate_status(self):
        if self.bmi is None: return
        if self.bmi < 18.5:
            self.status = "偏瘦"
        elif 18.5 <= self.bmi < 24.9:
            self.status = "正常"
        elif 24.9 <= self.bmi < 29.9:
            self.status = "超重"
        else:
            self.status = "肥胖"
    def get_report(self):
        return f"用户: {self.name}, BMI: {self.bmi}, 状态: {self.status}"
示例使用
user = HealthTracker("张三", 70, 175)
user.calculate_bmi()
print(user.get_report())
        

import pandas as pd
假设 data.csv 包含 'weight_kg' 和 'height_cm' 两列
df = pd.read_csv('data.csv')
向量化计算，速度极快
df['height_m'] = df['height_cm'] / 100
df['bmi'] = df['weight_kg'] / (df['height_m']  2)
添加健康状态列
def get_status(bmi):
    if bmi < 18.5: return "偏瘦"
    elif bmi < 24.9: return "正常"
    elif bmi < 29.9: return "超重"
    else: return "肥胖"
df['status'] = df['bmi'].apply(get_status)
查看前5条结果
print(df.head())