import csv

with open('test.csv', 'r', encoding='utf-8')as f:
    # reader是一个迭代器
    reader = csv.reader(f)
    # next遍历了1行
    next(reader)
    for i in reader:
        # 返回列表
        print(i)

with open('test.csv', 'r', encoding='utf-8') as f:
    # 使用DictReader创建reader对象不会包含标题这一行
    # 返回字典
    reader = csv.DictReader(f)
    for i in reader:
        print(i)

import csv

headers = ["username", "age", 'height']

# values = [
#     ('小明', 18, 160),
#     ('小花', 19, 165),
#     ('小华', 20, 170),
# ]
# # 乱码就指定编码，newline可以避免空格
# 推荐windows系统下使用utf-8-sig编码，可以解决utf-8编码下excel打开csv文件乱码的问题
# with open('write.csv', 'w', newline='', encodeing="utf-8-sig") as f:
#     writer = csv.writer(f)
#     # 插入一条数据
#     writer.writerow(headers)
#     # 插入多条数据
#     writer.writerows(values)


# 方法2
values = [
    {'username':'小明', "age": 18, "height": 160},
    {'username':'小花', "age":19, "height":165},
    {'username':'小华', "age":20, "height":170},
]
with open('writer.csv', 'w', newline='') as f:
    writer = csv.DictWriter(f, headers)
    # 写表头数据时，需要调用writeheader()
    writer.writeheader()
    writer.writerows(values)

file = open(“./xxx.csv”, ‘a’,newline=‘’)
writer = csv.writer(file)
writer.writerow([‘xxx’,’ xxx’,0,1,2,3])
file.close()