#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')

with pd.ExcelWriter("Data 2016.xlsx") as writer:
    data.to_excel(writer, "Stock Prices")
    correlations.to_excel(writer, "Correlations")
    data.pct_change().mul(100).to_excel(writer, "Daily Changes")