data1=[......]

data2=[......]

data3=[......]

name=[......]

# 计算最大值，使用python的内置函数max（）

data1_max=max(data1)

data2_max=max(data2)

data3_max=max(data3)

# 计算均值，统计数据的总量并除以其数量可得到其均值

data1_mean=sum(data1)/len(data1)

data2_mean=sum(data2)/len(data2)

data3_mean=sum(data3)/len(data3)

# 计算中位数，对数据进行排序，如果数据长度为奇数，取中间的那个数，如果数据长度为偶数，取中间两个数的均值

def median(List):

    List=sorted(List)

    if len(List)%2==1:
        return List[len(List)//2]

    else:

        return (List[len(List)//2]+List[len(List)//2-1])/2

data1_median=median(data1)

data2_median=median(data2)

data3_median=median(data3)

# 计算标准差，需要提前导入math模块

def stdev(List):

    mean=sum(List)/len(List)

    sum=0

    for item in List:

        sum+=(item-mean)**2

    sum/=len(List)

    return math.sqrt(sum)

data1_stdev=stedv(data1)

data2_stdev=stedv(data2)

data3_stdev=stedv(data3)

中位数的计算

标准差的计算

snow_area=[83.1,350.7,5903.3,2716.2,4446.5,2975,4615.1,8543,137.1,5073,980.8,5603.9,829.8,3367.1,7166.3,9521.1,393 

1.4,4479.5,2077.3,2594.3,289.3,1260.9,4649.5,1816.5,3255,176.2,2548.7,1966.9,159.4,579.9,2297.1] 

total_output=[52.3,194.2,3321.9,1232.9,2492.3,2017.1,3601.6,5435.2,98.6,3360.6,656,3252.5,496.1,2029.9,4505.2,5777,2 

428.5,2805.2,1170.8,1420.6,149.2,806.2,2846.6,855.5,1567.7,99.8,1114.2,883.1,61.1,331.8,1474.81]

per_hectare=[6296,5538,5627,4539,5605,6780,7804,6362,7190,6624,6689,5804,5978,6028,6287,6068,6177,6262,5636,54 

76,5157,6394,6122,4710,4816,5663,4371,4490,3832,5721,6420]

area=['北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江','上海','江苏','浙江','安徽','福建','江西','山东','河南','湖北 

','湖南','广东','广西','海南','重庆','四川','贵州','云南','西藏','陕西','甘肃','青海','宁夏','新疆']