df.to_excel(r'C:\Users\Ron\Desktop\File_Name.xlsx', index = False)
#if you omit the file path (must also omit 'r') and
#enter only file_name.xlsx, it will save to your default file location,
# that is, where the file you're reading from is located.import pandas as pd
df.to_excel("File_Name.xlsx', index = False)df.to_excel('pandas_to_excel.xlsx', sheet_name='new_sheet_name')#Python, pandas
#To export a pandas dataframe into Excel
df.to_excel(r'Path where you want to store the exported excel file\File Name.xlsx', index = False)
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('LTD Report Data.xlsx', engine='xlsxwriter')
# Write each dataframe to a different worksheet.
seg_2019.to_excel(writer, sheet_name='Seg 2019', index = False)
seg_2020.to_excel(writer, sheet_name='Seg 2020', index = False)
seg_2021.to_excel(writer, sheet_name='Seg 2021', index = False)
seg_2022.to_excel(writer, sheet_name='Seg 2022', index = False)
# Close the Pandas Excel writer and output the Excel file.
writer.save()In [6]: titanic.to_excel("titanic.xlsx", sheet_name="passengers", index=False)