读入数据文档Statistic进行统计分析

Question

读入数据文档Statistic进行统计分析，年龄（5岁一档）进行统计，并打印出每个年龄段的人数及数据平均年龄；分别分析男性、女性数据，身高体重（身高区间为10，体重区间为5）二维分布情况，并将男性、女性分析结果分别写去两个文档中。
这个问题的思路是怎么样的

Answer 1

重复代码很多,没有用太复杂的函数和方法,希望你能看懂.有疑问继续交流.有帮助请采纳一下,谢谢

import math

age = {}
nanheight = {}
nvheight = {}
nanweight = {}
nvweight = {}
with open('Statistic', 'r', encoding='utf8') as f:
    # 忽略表头
    f.readline()
    # 读取第二行有效数据
    a = f.readline().replace('\n', '')
    while a:

        # 处理数据转换为元组
        a = eval(a.replace(' ', ','))
        # print(a)
        # 获取年龄段上下线
        up = math.ceil(a[0] / 5) * 5
        low = (math.ceil(a[0] / 5) - 1) * 5
        # 处理年龄数据
        key = f"{low}-{up}"
        if age.get(key):
            age[key][0] += 1
            age[key][1] += a[0]

        else:
            age[key] = [1, a[0]]
        # 处理男女升高体重数据 0女1男

        if a[1] == 1:
            # 获取身高段上下线
            up = math.ceil(a[2] / 10) * 10
            low = (math.ceil(a[2] / 10) - 1) * 10
            key = f"{low}-{up}"
            if nvheight.get(key):
                nvheight[key] += 1
            else:
                nvheight[key] = 1
            # 获取体重段上下线
            up = math.ceil(a[3] / 5) * 5
            low = (math.ceil(a[3] / 5) - 1) * 5
            key = f"{low}-{up}"
            if nanweight.get(key):
                nanweight[key] += 1
            else:
                nanweight[key] = 1
        else:
            # 获取身高段上下线
            up = math.ceil(a[2] / 10) * 10
            low = (math.ceil(a[2] / 10) - 1) * 10
            key = f"{low}-{up}"
            if nanheight.get(key):
                nanheight[key] += 1
            else:
                nanheight[key] = 1
            # 获取体重段上下线
            up = math.ceil(a[3] / 5) * 5
            low = (math.ceil(a[3] / 5) - 1) * 5
            key = f"{low}-{up}"
            if nvweight.get(key):
                nvweight[key] += 1
            else:
                nvweight[key] = 1

        # 读取处理数据替换回车
        a = f.readline().replace('\n', '')
        
for k,v in age.items():
    print(k,v[0],v[1]/v[0])

with open('nan.txt','w+',encoding='utf8') as f:
    f.write("身高\n")
    for k,v in nanheight.items():
        f.write(f"{k}:{v}\n")
    f.write("体重\n")
    for k,v in nanweight.items():
        f.write(f"{k}:{v}\n")
    
with open('nv.txt','w+',encoding='utf8') as f:
    f.write("身高\n")
    for k,v in nvheight.items():
        f.write(f"{k}:{v}\n")
    f.write("体重\n")
    for k,v in nvweight.items():
        f.write(f"{k}:{v}\n")