Python实现Excel转JSON

参考文章1：将excel表格数据转换为字典
字符串 & 字典 & Json 对比

# -*- coding: utf-8 -*-# json数据类型a = "python"   # 'python'字符串b = {"name":"python"}   # {'name':'python'} 字典c = '{"name":"python"}'   # json数据类型字符串（始终还是字符串）

1、用pandas将Excel转字典

# -*- coding: utf-8 -*-
# excel转字典import pandas as pddict = {}
data = pd.read_excel(r're.xlsx')
data.fillna("",inplace = True)list = []for i in data.index.values:line = data.loc[i,['年份','分类','月份','A市','B市','C市']].to_dict()list.append(line)
dict['data'] = list
print(dict)

运行结果

D:\python\Python3.9.6\python.exe "E:/Data Analysis/Pycharm/Web Scraping/tr_json/t2.py"
{'data': [{'年份': '2018年', '分类': '游客人数', '月份': '1月', 'A市': 562, 'B市': 264, 'C市': 481}, {'年份': '2018年', '分类': '旅游收入', '月份': '2月', 'A市': 294, 'B市': 186, 'C市': 985}, {'年份': '2018年', '分类': '游客人数', '月份': '1月', 'A市': 264, 'B市': 241, 'C市': 156}, {'年份': '2018年', '分类': '旅游收入', '月份': '2月', 'A市': 502, 'B市': 564, 'C市': 594}]}Process finished with exit code 0

格式化校验报错

问题：json格式双引号

2、用xlrd将Excel转字典

xlrd.biffh.XLRDError:Excel xlsx file；not support
报错参考1
AttributeError: ‘ElementTree‘ object has no attribute ‘getiterator‘
报错参考2

# -*- coding: utf-8 -*-# xlrd -- excel转字典import xlrd
def get_data(sheet1):data = xlrd.open_workbook(r're.xlsx')table = data.sheets()[sheet1]# print(table)nor = table.nrowsnol = table.ncolsdict = {}for i in range(1,nor):for j in range(nol):title = table.cell_value(0,j)value = table.cell_value(i,j)dict[title] = valueyield dictif __name__ == '__main__':for i in get_data(0):print(i)

运行结果

D:\python\Python3.9.6\python.exe "E:/Data Analysis/Pycharm/Web Scraping/tr_json/t2.py"
{'年份': '2018年', '分类': '游客人数', '月份': '1月', 'A市': 562.0, 'B市': 264.0, 'C市': 481.0}
{'年份': '2018年', '分类': '旅游收入', '月份': '2月', 'A市': 294.0, 'B市': 186.0, 'C市': 985.0}
{'年份': '2018年', '分类': '游客人数', '月份': '1月', 'A市': 264.0, 'B市': 241.0, 'C市': 156.0}
{'年份': '2018年', '分类': '旅游收入', '月份': '2月', 'A市': 502.0, 'B市': 564.0, 'C市': 594.0}Process finished with exit code 0

统一解决双引号问题
参考：解决python控制台输出单引号如何变成双引号的问题

# -*- coding: utf-8 -*-import json
import os
import randomlist01 = {"esm_id": random.randint(10000, 100000), "one": "01", "a": "4"}
list02 = {"esm_id": random.randint(10000, 100000), "two": "02", "b": "5"}
list03 = {"esm_id": random.randint(1000, 100000), "three": "03", "c": "6"}def lists(li, ran):arr = []for k in range(1, ran):arr.insert(k, li)return arr# print arr# os.system('pdf2txt.py -o "E:\PDF\output.txt" %s' % (strSource))# print(lists(list02,101))
print(json.dumps(lists(list02, 101)))

运行结果

D:\python\Python3.9.6\python.exe "E:/Data Analysis/Pycharm/Web Scraping/tr_json/t2.py"
[{"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}, {"esm_id": 75651, "two": "02", "b": "5"}]Process finished with exit code 0

参考：（在python中输出双引号问题的解决方案）不是我想要的

a="Albert Einstein once said,"
b="A person who never made a mistake never tried anything new."
full=a+"\""+b+"\""
print(full)
full=a+'"'+b+'"'
print(full)

参考：（python 从excel中读取数据转换成json字符串）
就是这样的效果

#-*- encoding:utf-8 -*-
import json
import xlrddef readExcel():# 打开excel表单filename = u're.xlsx'excel = xlrd.open_workbook(filename)# 得到第一张表单sheet1 = excel.sheets()[0]#找到有几列几列nrows = sheet1.nrows #行数ncols = sheet1.ncols #列数totalArray=[]title=[]# 标题for i in range(0,ncols):title.append(sheet1.cell(0,i).value);#数据for rowindex in range(1,nrows):dic={}for colindex in range(0,ncols):s=sheet1.cell(rowindex,colindex).valuedic[title[colindex]]=stotalArray.append(dic);return json.dumps(totalArray,ensure_ascii=False)print(readExcel())

运行结果

[{"年份": "2018年", "分类": "游客人数", "月份": "1月", "A市": 562.0, "B市": 264.0, "C市": 481.0}, {"年份": "2018年", "分类": "旅游收入", "月份": "", "A市": 294.0, "B市": 186.0, "C市": 985.0}, {"年份": "2018年", "分类": "游客人数", "月份": "1月", "A市": "", "B市": 241.0, "C市": 156.0}, {"年份": "2018年", "分类": "旅游收入", "月份": "2月", "A市": 502.0, "B市": 564.0, "C市": 594.0}]

参考：Python: 使用xlrd读取Excel文件

参考：JSON日期格式转换

修改：三个表同时转换

# -*- coding: utf-8 -*-
# Excel to json by xlrdimport xlrd
def get_data(sheet1):data = xlrd.open_workbook(r'try_data.xlsx')table = data.sheets()[sheet1]nor = table.nrowsnol = table.ncolsdict = {}# 资产损益表for i in range(1,4):   # 指定损益表key从第一行到第n列for j in range(nol):   # 指定损益表value遍历key = table.cell_value(0,j)value = table.cell_value(i,j)dict[key] = valueyield dict# 资产负债表for i in range(5,8):for j in range(nol):key = table.cell_value(0, j)value = table.cell_value(i, j)dict[key] = valueyield dict# 现金流量表for i in range(9,12):for j in range(nol):key = table.cell_value(0, j)value = table.cell_value(i, j)dict[key] = valueyield dictif __name__ == '__main__':for i in get_data(0):print(i)

参考：（Excel中文本替换函数）解决符号替换问题，单引号替换为双引号

参考：Python+xlrd对excel表格数据处理统计

参考：用python打包exe应用程序-PyInstaller

参考：python界面-用python编写简单ui界面窗口

参考：常用的格式化字符串：

符号	说明
%d	整数
%f%F	浮点数
%e%E	科学计数
%g%G	e 和%f/%E 和%F 的简写
%%	输出%

参考：bytes类型转字符串字典字符串之间的转换 eval 函数

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