Python3 for data stored as json and csv

json file storage

import json
# 读
with open('data.json', 'r', encoding='utf-8') as fp:
    data = json.loads(fp.read())
# 写，且具备缩进与中文显示
with open('data.json', 'w', encoding='utf-8') as fp:
    fp.write(json.dumps(data, indent=2, ensure_ascii=False))
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cvs file storage

import csv

# 写入, 方法一(追加用a)：
# 参数newline，防止行与行之间多处空行；想修改列与列之间的分隔符，可以传入delimiter参数
with open('data.csv', 'w', encoding='utf-8', newline='') as csv_file:
    writer = csv.writer(csv_file, delimiter=',')
    writer.writerow(['id', 'name', 'age'])
    writer.writerow(['1001', 'aici', '22'])
    writer.writerow(['1002', 'iicey', '24'])
    writer.writerow(['1003', 'ice', '18'])
# 写入, 方法二(二维列表)：
with open('data.csv', 'w', encoding='utf-8', newline='') as csv_file:
    writer = csv.writer(csv_file, delimiter=',')
    writer.writerow(['id', 'name', 'age'])
    writer.writerows([['1001', 'aici', '22'], ['1002', 'iicey', '24'], ['1003', 'ice', '18']])
# 写入, 方法三(字典)：
with open('data.csv', 'w', encoding='utf-8', newline='') as csv_file:
    fieldnames = ['id', 'name', 'age']
    writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
    writer.writeheader()
    writer.writerow({'id': '1001', 'name': 'aici', 'age': '22'})
    writer.writerow({'id': '1002', 'name': 'iicey', 'age': '24'})
    writer.writerow({'id': '1003', 'name': 'ice', 'age': '18'})

# 读取, 方法一：
import csv
with open('data.csv', 'r', encoding='utf-8', newline='') as csv_file:
    reader = csv.reader(csv_file)
    print(list(reader))
# 读取, 方法二：
import pandas as pd
df = pd.read_csv('data.csv')
print(df)
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Reproduced in: https: //juejin.im/post/5d023938f265da1bc4144df0