1 # -*- coding: utf-8 -*-
 2 import pandas as pd
 3 import os
 4 import json
 5 
 6 # 提取excel表格中數據，將其轉換成dateframe類型
 7 os.chdir('excel文件地址')
 8 
 9 invoice_data = pd.read_excel('./Invoice_data_Demo.xls', header=0, encoding='utf8')
10 
11 sheet_list = []
12 # 取出excel表頭
13 sheet_head = list(invoice_data.columns)
14 sheet_list.append(sheet_head)
15 # 取出excel中每一行數據
16 for i in range(0, len(invoice_data)):
17     data_line = list(invoice_data.loc[i])
18     data_line = [str(i) for i in data_line]
19     sheet_list.append(data_line)
20 print(sheet_list)
21 
22 data_l = json.dumps(sheet_list, ensure_ascii=False)
23 print(data_l)

 1 # -*- coding: utf-8 -*-
 2 
 3 import pandas as pd
 4 
 5 a = ['a','b','c']
 6 b = [1,2,3]
 7 dit = {'char':a, 'num':b}
 8 file_path = r'./output.xlsx'
 9 writer = pd.ExcelWriter(file_path)
10 df = pd.DataFrame(dit)
11 # columns參數用於指定生成的excel中列的順序
12 df.to_excel(writer, columns=['char','num'], index=False,encoding='utf-8',sheet_name='Sheet')
13 writer.save()
14 
15 # 生成csv文件
16 df.to_csv(r'./1.csv',columns=['char','num'],index=False,sep=',')