python export multiple dataframes to excel

1#1. Create a pandas excel writer instance and name the excel file
2xlwriter = pd.ExcelWriter('Customer_Details.xlsx')
3#NB: If you don't include a file path like 'C:\Users\Ron\Desktop\File_Name.xlsx'
4# It will save to your default folder, that is,
5#where the file you're reading from is located.
6
7#2. Write each dataframe to a worksheet with a name
8dfName.to_excel(xlwriter, sheet_name = 'Name', index = False)
9dfAddress.to_excel(xlwriter, sheet_name = 'Address', index = False)
10dfContact.to_excel(xlwriter, sheet_name = 'Contact', index = False)
11
12#3. Close the instance
13xlwriter.close()

1# Create a Pandas Excel writer using XlsxWriter as the engine.
2with pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter') as writer:    
3    # Write each dataframe to a different worksheet.
4    final_df.to_excel(writer, sheet_name='Sheet1')
5    df_unigrams.to_excel(writer, sheet_name='Sheet2')
6    df_bigrams.to_excel(writer, sheet_name='Sheet3')
7

1with pd.ExcelWriter("Data 2016.xlsx") as writer:
2    data.to_excel(writer, "Stock Prices")
3    correlations.to_excel(writer, "Correlations")
4    data.pct_change().mul(100).to_excel(writer, "Daily Changes")