#1. Create a pandas excel writer instance and name the excel file
xlwriter = pd.ExcelWriter('Customer_Details.xlsx')
#NB: If you don't include a file path like 'C:\Users\Ron\Desktop\File_Name.xlsx'
# It will save to your default folder, that is,
#where the file you're reading from is located.
#2. Write each dataframe to a worksheet with a name
dfName.to_excel(xlwriter, sheet_name = 'Name', index = False)
dfAddress.to_excel(xlwriter, sheet_name = 'Address', index = False)
dfContact.to_excel(xlwriter, sheet_name = 'Contact', index = False)
#3. Close the instance
xlwriter.close()# Create a Pandas Excel writer using XlsxWriter as the engine.
with pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter') as writer:
# Write each dataframe to a different worksheet.
final_df.to_excel(writer, sheet_name='Sheet1')
df_unigrams.to_excel(writer, sheet_name='Sheet2')
df_bigrams.to_excel(writer, sheet_name='Sheet3')
# Write multiple DataFrames to Excel files
with pd.ExcelWriter('pandas_to_excel.xlsx') as writer:
df.to_excel(writer, sheet_name='sheet1')
df2.to_excel(writer, sheet_name='sheet2')
# Append to an existing Excel file
path = 'pandas_to_excel.xlsx'
with pd.ExcelWriter(path) as writer:
writer.book = openpyxl.load_workbook(path)
df.to_excel(writer, sheet_name='new_sheet1')
df2.to_excel(writer, sheet_name='new_sheet2')