pandas 读写 excel

Python开发之 Python3读写Excel文件（较全）：https://blog.csdn.net/u014597198/article/details/83104653

python读取excel（Python处理xls）：https://blog.csdn.net/chenggong2dm/article/details/44956805

openpyxl 超详细笔记：https://blog.csdn.net/weixin_41546513/article/details/109555832

示例代码 1：

import pandas as pd
from pandas import DataFramedef pandas_write_excel():data = {'name': [u'张三', u'李四', u'王五'],'age': [21, 22, 23],'sex': [u'男', u'女', u'男']}df = DataFrame(data)df.to_excel('./pandas_write_excel.xlsx')def pandas_read_excel():sheet = pd.read_excel('./pandas_write_excel.xlsx')for row in sheet.values:print(row)if __name__ == '__main__':pandas_write_excel()pandas_read_excel()pass

示例代码 2：

test.json 文件

[{"_id": "11041","short_name": "tes_name_1","食品饮料、酒类、生鲜": 1.2,"手机、数码": 1.0,"家具、家具、家装、厨具": 0.83,"家用电器": 0.8},{"_id": "11037","short_name": "test_name_2","食品饮料、酒类、生鲜": 1.18,"手机、数码": 1.0,"家用电器": 0.76,"家具、家具、家装、厨具": 0.74,"电脑、办公": 0.6,"个护化妆": 0.54,"母婴、玩具乐器": 0.51,"运动户外": 0.42,"营养保健": 0.41}
]

write_excel.py

import json
import pandas as pd
from pandas import DataFramedef pandas_write_excel():with open('./test.json', 'rb') as f:data = json.load(f)print(json.dumps(data, ensure_ascii=False, indent=4))df = DataFrame(data)df.to_excel('./test.xlsx')passif __name__ == '__main__':pandas_write_excel()

结果截图：