如何使用熊猫按国家/地区列将数据拆分为一个工作簿中的多个工作表

Question

I am trying to pull data from a table and load into a excel workbook, i want to separate data by country and each country data will be loaded into each sheet with country name. But unfortunately i am didnt find exact logic to achieve this scenario. I need help here with errors and code to fix.Below is my code.

import pandas as pd

with pd.ExcelWriter('meddevices_tm.xlsx') as writer:
    dftm = pd.read_excel('')
    dbconnect = pyodbc.connect("Driver={ODBC Driver 17 for SQL Server};Server=digital-dbserver.database.windows.net;Database=gdmd-db;uid=adm;pwd=gr!")
    tsql= 'select [Franchise Name],[Prod Number],[Product Description],[Net Content],[Net Content UOM],[Product Type],[Base Unit Indicator],[Dispatch Unit Indicator],[Invoice Unit Indicator],[Ordering Unit Indicator],[Country] from [dbo].[onews_med_devices] '
    cursor= dbconnect.cursor()
    dftm =pd.read_sql(tsql,dbconnect)
    dftm = pd.read_excel('Med Devices0818.xlsx')
    split_values = dftm['Country'].sort_values().unique()
    
    print(split_values)
    for value in split_values:
         print (value)
         (dftm.query(f'Country == {value}').drop(columns='Country').copy().to_excel(excel_writer=writer,sheet_name=f'Country{value}',index=False))

Answer 1

You can use groupby

for country, filtered_df in dftm.groupby('Country'):
    filtered_df.to_excel(...

This will return a filtered dataframe by each country, which you can save to a desired location.