基本介绍
网站建设哪家好,找成都创新互联公司!专注于网页设计、网站建设、微信开发、重庆小程序开发、集团企业网站建设等服务项目。为回馈新老客户创新互联还提供了马尾免费建站欢迎大家使用!pandas是Python数据挖掘、数据分析中常用的库。而DataFrame生成excel中的sheet表,以及在excel中增加sheet表,在数据分
析中也经常用到。这里以一个简单例子介绍这两个功能的用法,以备不时之需。
例子:
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Version: 0.1 Author: Wang Pei License: Copyright(c) 2017 Pei.Wang Summary: (1)padas dataframe生成excel (2)excel中增加sheet表 """ import sys import pandas as pd from openpyxl import load_workbook reload(sys) sys.setdefaultencoding('utf-8') """ padas dataframe生成excel """ def dataFrame2sheet(dataframe,excelWriter): # DataFrame转换成excel中的sheet表 dataframe.to_excel(excel_writer=excelWriter, sheet_name="info1",index=None) dataframe.to_excel(excel_writer=excelWriter, sheet_name="info2",index=None) dataframe.to_excel(excel_writer=excelWriter, sheet_name="info3",index=None) excelWriter.save() excelWriter.close() """ excel中新增sheet表 """ def excelAddSheet(dataframe,excelWriter): book = load_workbook(excelWriter.path) excelWriter.book = book dataframe.to_excel(excel_writer=excelWriter,sheet_name="info5",index=None) excelWriter.close() if __name__ == '__main__': # 数据集 dataSet = [ {"姓名": "张三", "年龄": 23, "性别": "男"}, {"姓名": "李四", "年龄": 25, "性别": "男"}, {"姓名": "王五", "年龄": 21, "性别": "女"} ] # excelPath excelPath="G:\cmcm\ReportAuto\\02TestData\\x.xlsx" # 生成DataFrame dataframe = pd.DataFrame(dataSet) #创建ExcelWriter 对象 excelWriter=pd.ExcelWriter(excelPath,engine='openpyxl') # #生成excel #dataFrame2sheet(dataframe,excelWriter) #excel中增加sheet excelAddSheet(dataframe,excelWriter)