Why don't you take a look at the dry goods: compare xlsxwriter/pandas/openpyxl to write excel files

This article explains how to use the three libraries xlsxwriter/pandas/openpyxl to write data into EXCEL. The format after writing is shown in the figure below:

The following are data use cases:

import xlsxwriter as xw
import pandas as pd
import openpyxl as op

"-------------数据用例-------------"
orderIds = [1,2,3]
items = ['A','B','C']
myData = [10,20,30]
testData = [orderIds,items,myData]
filename1 = '测试1.xlsx'
filename2 = '测试2.xlsx'
filename3 = '测试3.xlsx'

"--------------执行----------------"
xw_toexcel(testData,filename1)
pd_toexcel(testData,filename2)
op_toexcel(testData,filename3)

The following three methods are introduced separately:

1 、 xlsxwriter

def xw_toexcel(data,filename): # xlsxwriter库储存数据到excel
    workbook = xw.Workbook(filename) # 创建工作簿
    worksheet1 = workbook.add_worksheet("sheet1") # 创建子表
    worksheet1.activate() # 激活表
    title = ['序号','项目','数据'] # 设置表头
    worksheet1.write_row('A1',title) # 从A1单元格开始写入表头
    i = 2 # 从第二行开始写入数据
    for j in range(len(data)):
        insertData = [data[0][j],data[1][j],data[2][j]]
        row = 'A' + str(i)
        worksheet1.write_row(row, insertData)
        i += 1
    workbook.close() # 关闭表

2、pandas

def pd_toexcel(data,filename): # pandas库储存数据到excel
    dfData = {
    
     # 用字典设置DataFrame所需数据
        '序号':data[0],
        '项目':data[1],
        '数据':data[2]
    }
    df = pd.DataFrame(dfData) # 创建DataFrame
    df.to_excel(filename,index=False) # 存表，去除原始索引列（0,1,2...）

3、openpyxl

def op_toexcel(data,filename): # openpyxl库储存数据到excel
    wb = op.Workbook() # 创建工作簿对象
    ws = wb['Sheet'] # 创建子表
    ws.append(['序号','项目','数据']) # 添加表头
    for i in range(len(data[0])):
        d = data[0][i], data[1][i], data[2][i]
        ws.append(d) # 每次写入一行
    wb.save(filename)

- Summary -
openpyxl and xlsxwriter Similarly, line by line, to write, as in the first row needs to be [1, 'A', 10 ] format, except that use openpyxl.load_workbook(filepath)can be made of existing additional data .xlsx, not Overwrite; pandas needs to be combined by column first, such as [[ 1,2,3],['A','B','C'],[…]] format. Each method has its own advantages and should be selected according to needs when writing the table.