Day4

list_1 = eval（input())
# Please your code here
max_list = []   #空列表，后续把每个列表的最大值放进去，直接用sum求出列表的和
num = 0   #最大值的数量
for i in list_1:                  #[54, 28, 88, 99, 77]
    max = i[0]  #假定最大值是第一位，遍历列表找出最大值
    for j in i:
        if j > max:
            max = j
    num += 1
    max_list.append(max)
    # print(max)
# print(max_list)
# print(num)
sum_list = sum(max_list)  
avg = sum_list / num   #求平均值
avg_new = '{:.2f}'.format(avg)   #保留两位
print(avg_new)

# Get List
list_1 = eval（input())
# Please write your code here
for i in list_1:
    if list_1.count(i) % 2 != 0:  #lsit.count()，求特定元素出现的次数
        print(i)
        break       #满足条件即可跳出条件
    else:
        pass

name: student_name, age: student_age, avg: Average

输入：
关键字参数：
{'student_name': 'Kelsey', 'student_age': 18, 'underline': 'quality', 'heroine': 'hip', 'close': 'sponsor', 'howl': 'loss', 'profitable': 'finite', 'news': 'lonely', 'series': 'abroad', 'bet': 'approve', 'yet': 'button'}
数字参数：
[93, 52, 70, 76, 51, 61, 51, 89, 79, 71]

# Please write your code here
def print_avg(*num,**person):
    avg = sum(num) / len(num)
    student_name = person['student_name']
    student_age = person['student_age']
    return f"name: {student_name}, age: {student_age}, avg: {avg:.2f}"
num = [93, 52, 70, 76, 51, 61, 51, 89, 79, 71]
person = {'student_name': 'Kelsey', 'student_age': 18, 'underline': 'quality', 'heroine': 'hip', 'close': 'sponsor', 'howl': 'loss', 'profitable': 'finite', 'news': 'lonely', 'series': 'abroad', 'bet': 'approve', 'yet': 'button'}
print_avg(*num,**person)

import csv
file_path = 'data.csv'
name = 'Name'
new_name = 'student_name'
# 写入 CSV 文件
data = [
    ['Name', 'Age', 'Country'],
    ['Alice', '25', 'USA'],
    ['Bob', '30', 'Canada'],
    ['Charlie', '28', 'UK']
]
def get_write_csv(path:str):
    # Please write your code
    with open(path,'w',newline='') as f:  #写入原始数据
        # 使用列表推导式将嵌套列表展开为单层字符串列表
        #第一种#适用于字符串列表
        # flat_list = [' '.join(row) + '\n' for row in data]
        # f.writelines(flat_list)
        #第二种#支持二维列表，而且适用于数据量大的情况
        writer = csv.writer(f)
        writer.writerows(data)

    with open(path,'r') as f:   #读数据，并且替换Name为students_name
        lines=f.readlines()         #返回列表
        lines[0]=lines[0].replace('Name','students_name')
    with open(path,'w') as f:  #再把修改后的数据写入
        f.writelines(lines)
get_write_csv('data.csv')