# 创建一个 ExcelWriter 实例并指定文件名withpd.ExcelWriter('output.xlsx',engine='openpyxl')aswriter: 1. 2. 第五步:将 DataFrame 写入不同的 Sheets 在with语句下,我们可以将各个 DataFrame 写入指定的工作表。 AI检测代码解析 df1.to_excel(writer,sheet_name='Sheet1',index=False)# 将第一个 DataFr...
你可以通过改变to_excel方法的第一个参数来指定不同的文件名和路径。例如,如果你想将文件保存在一个名为data的文件夹中,你可以这样做: python df.to_excel('data/output.xlsx', index=False) 注意,如果data文件夹不存在,你需要先创建它,否则to_excel方法会抛出一个错误。 (可选) 设置to_excel方法的其他参...
并使用可选的参数sheet_name；另一种方法是创建一个pd.ExcelFile对象，然后解析该对象中的数据。
# 创建一个Excel文件wb=Workbook()# 将Dataframe写入Excel不同的工作表fori,(sheet_name,df)inenumerate([('Sheet1',df1),('Sheet2',df2)]):ws=wb.create_sheet(title=sheet_name)forrindataframe_to_rows(df,index=False,header=True):ws.append(r)# 保存Excel文件wb.save("data_multiple_sheets.xlsx"...
使用ExcelWriter保存多个DataFrame到同一个Excel文件 with pd.ExcelWriter('output_multiple_sheets.xlsx') as writer: df.to_excel(writer, index=False, sheet_name='People') df2.to_excel(writer, index=False, sheet_name='Products') 三、SQL数据库保存 ...
(data) # 创建一个 Excel 文件 writer = pd.ExcelWriter('output.xlsx', engine='xlsxwriter') # 将 DataFrame 写入 Excel 文件 df.to_excel(writer, sheet_name='Sheet1', index=False) # 获取 xlsxwriter 的 workbook 和 worksheet 对象 workbook = writer.book worksheet = writer.sheets['Sheet1'] ...
df.to_excel(writer, startcol = 0, startrow = 1) worksheet = writer.sheets['Sheet1'] worksheet.write_string(0, 0, title) writer.save() Write pandas dataframe to xlsm file (Excel with Macros, The following features cannot be saved in macro-free workbooks: VB project. To save a file ...
| (all_data_return_scrap.RACK_INFO.str.startswith('d', na=False)) ].shape pivot table add to a exist file withSheet2 book= openpyxl.load_workbook('2.xlsx') writer = pd.ExcelWriter('2.xlsx', engine='openpyxl') writer.book=bookwriter.sheets=dict((ws.title,ws) for ws inbook.works...
df.to_excel('output.xlsx',startrow=1,startcol=1) 1. Writing Multiple DataFrames to Different Sheets If you have multiple DataFrames that you want to export to an Excel file, you can write each DataFrame to a different sheet by specifying the sheet name for each export. For example: ...
import pandas as pd import json # 假设给定的JSON数据已经存储在data变量中 data = [ { "title": "Data Source Adapter for Excel Sheets", "project_code_url": "https://github.com/polypheny/Polypheny-DB/pull/418", "date_created": "2022-05-17T23:30:01.526934Z", "tech_tags": [ "java"...