state Query as query state Data as data state Excel as excel db --> query: Connect & Query query --> data: Retrieve Data data --> excel: Export to Excel 结语 通过上述步骤,你可以轻松地使用Python将数据库中的数据导出到Excel文件中。这种方法不仅适用于SQLite,还可以根据需要调整以适应其他类型的...
fname=sourceTB+'_exportData.xlsx' file = path + fname # 增加一个公共句柄,写入新数据时,保留原数据 writer = pd.ExcelWriter(file) sql_select = 'select '+ columns_select + ' from '+ sourceTB fetch_data, rowcount = self.executeQuery(sql_select) # print(rowcount) df_fetch_data = pd.D...
fname=sourceTB+'_exportData.xlsx' file = path + fname # 增加一个公共句柄,写入新数据时,保留原数据 writer = pd.ExcelWriter(file) sql_select = 'select '+ columns_select + ' from '+ sourceTB fetch_data, rowcount = self.executeQuery(sql_select) # print(rowcount) df_fetch_data = pd.D...
sheet.write(0,col,field) row =1fordatainall_data:forcol,fieldinenumerate(data): sheet.write(row,col,field) row +=1book.save("%s.xls"% table_name)if__name__ =='__main__': export_excel('app1_book') 4)启动脚本导出数据
structure used for storing tabular data. To export the data into an Excel file , theto_excel()function requires two input parameters: the file's name and the sheet's name. The data should be stored in a pandasDataFrame, and theto_excel()function should be called to perform the export....
STEP 2) EXPORT TO EXCEL S2_export.py # (A) INIT # (A1) LOAD MODULES import sqlite3, os, openpyxl from sqlite3 import Error # (A2) SETTINGS DBFILE = "users.db" # (B) OPEN DATABASE & CREATE EXCEL conn = sqlite3.connect(DBFILE) ...
使用xlwt库可以将Python列表导出为Excel文件。xlwt是一个用于操作Excel文件的库,可以创建、写入和保存Excel文件。 下面是一个示例代码,演示如何使用xlwt将Python列表导出为Excel文件: 代码语言:txt 复制 import xlwt def export_to_excel(data, filename): # 创建一个Workbook对象,用于保存Excel文件 workbook = xlwt....
importstringimportxlsxwriterfromfakerimportFakerdefexport_to_excel(filename,col_items,datas):"""将信息导出为excel文件Args:filename (str): 文件名col_items (list): 列名datas (list): 数据信息"""# 生成.xlsx文件workbook=xlsxwriter.Workbook(f'{filename}.xlsx')# 设置sheet页签名称table=workbook.add...
分批次写入到目标Excel时的另一个要注意的参数是写入行startrow的设置。每次写入完成后需要重新指下一批次数据的初始位置值。每个批次的数据会记录各自的所属批次信息。 利用关键字参数**args 指定多个数据源表和数据库连接。 def exportToExcel(self, **args): ...
bytes_data = io.BytesIO() #将excel文件对象写入一个ByteIO对象，然后读取二进制流返回给handler wbk.save(bytes_data) bytes_data.seek(0) return bytes_data.read()response = write_data_to_excel(export_all_aw_data)self.set_header('Content-Type', 'application/vnd.ms-excel')self.wri...