Python | Working with Pandas and XlsxWriter | Set – 1

Python Pandas is a data analysis library. It can read, filter and re-arrange small and large datasets and output them in a range of formats including Excel.

Pandas writes Excel files using the XlsxWriter modules.

XlsxWriter is a Python module for writing files in the XLSX file format. It can be used to write text, numbers, and formulas to multiple worksheets. Also, it supports features such as formatting, images, charts, page setup, auto filters, conditional formatting and many others.

Code #1: Converting a Pandas dataframe to an xlsx file using Pandas and XlsxWriter.

filter_none

edit
close

play_arrow

link
brightness_4
code

# import pandas as pd
import pandas as pd
  
# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Data': ['Geeks', 'For', 'geeks', 'is',
                               'portal', 'for', 'geeks']})
  
# Create a Pandas Excel writer
# object using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandasEx.xlsx', 
                   engine ='xlsxwriter')
  
# Write a dataframe to the worksheet.
df.to_excel(writer, sheet_name ='Sheet1')
  
# Close the Pandas Excel writer
# object and output the Excel file.
writer.save()

chevron_right






                        filter_none










 Output :



 




 Code #2:  Writing multiple dataframes to worksheets using Pandas and XlsxWriter.













                                    filter_none




                                    edit

                                    close




                                    play_arrow




                                    link

                                    brightness_4

                                    code
                                




















# import pandas as pd 


import pandas as pd 


  


  


# Create some Pandas dataframes from some data. 


df1 = pd.DataFrame({'Data': [11, 12, 13, 14]}) 


df2 = pd.DataFrame({'Data': [21, 22, 23, 24]}) 


df3 = pd.DataFrame({'Data': [31, 32, 33, 34]}) 


  


# Create a Pandas Excel writer object  


# using XlsxWriter as the engine. 


writer = pd.ExcelWriter('pandas_multiple.xlsx',  


                          engine ='xlsxwriter') 


  


# Write each dataframe to a different worksheet. 


df1.to_excel(writer, sheet_name ='Sheet1') 


df2.to_excel(writer, sheet_name ='Sheet2') 


df3.to_excel(writer, sheet_name ='Sheet3') 


  


# Close the Pandas Excel writer object 


# and output the Excel file. 


writer.save() 



















                        chevron_right







                        filter_none










 Output :

  

 

 Code #3:  Positioning dataframes in a worksheet using Pandas and XlsxWriter.













                                    filter_none




                                    edit

                                    close




                                    play_arrow




                                    link

                                    brightness_4

                                    code
                                




















# import pandas as pd 


import pandas as pd 


  


  


# Create some Pandas dataframes from some data. 


df1 = pd.DataFrame({'Data': [11, 12, 13, 14]}) 


df2 = pd.DataFrame({'Data': [21, 22, 23, 24]}) 


df3 = pd.DataFrame({'Data': [31, 32, 33, 34]}) 


df4 = pd.DataFrame({'Data': [41, 42, 43, 44]}) 


  


# Create a Pandas Excel writer object 


# using XlsxWriter as the engine. 


writer = pd.ExcelWriter('pandas_positioning.xlsx',  


                             engine ='xlsxwriter') 


  


# write and Positioning the dataframes in the worksheet. 


# Default position, cell A1. 


df1.to_excel(writer, sheet_name ='Sheet1')   


df2.to_excel(writer, sheet_name ='Sheet1', startcol = 3) 


df3.to_excel(writer, sheet_name ='Sheet1', startrow = 6) 


  


# It is also possible to write the 


# dataframe without the header and index. 


df4.to_excel(writer, sheet_name ='Sheet1', 


             startrow = 7, startcol = 4, 


             header = False, index = False) 


  


# Close the Pandas Excel writer object 


# and output the Excel file. 


writer.save() 



















                        chevron_right







                        filter_none










 Output :

Output5





    

        My Personal Notes
        arrow_drop_up
    

    

        
        

            
            
        

    


Recommended Posts:
AnkitRai01
Check out this Author's contributed articles.
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on  the "Improve Article" button below.