save data in excel

[Anonymous]

hello,

in fabric dataflow, after some transformations, I have got the data.

Now I would like to save this data as excel.

How do I do this? 

thanks

[Anonymous]

Hi @Anonymous 
Thanks for using Fabric Community.
Unfortunately, Fabric Dataflow (Gen2) itself doesn't have a built-in functionality to directly save the transformed data as an Excel file. However, you can achieve this by integrating Dataflow with Notebooks:

1) Give the destination as lakehouse in Dataflow Gen2 and publish the Dataflow . This will create a new table in your lakehouse.

2) Create a new notebook and run the below code:

3) The excel file will be created in Lakehouse files section.

4) You can also download this file into your local desktop using Onelake explorer.
Access Fabric data locally with OneLake file explorer - Microsoft Fabric | Microsoft Learn

5) Download the latest version of Onelake explorer and sync the Lakehouse.

Hope this helps. Please let me know if you have any further questions.

[Anonymous]

can you please send the pyspark equivalent to your notebook code?

thank you

[Anonymous · Accepted solution]

Hi @Anonymous 
I am adding the code snippet here:

import pandas as pd
df = spark.sql("SELECT * FROM lakehouse_1.customers_1000")
df1= df.toPandas()
df1.to_excel('abfss://[email protected]/lakehouse_1.Lakehouse/Files/sample.xlsx')

Just replace with the abfss path of your lakehouse files folder.

Hope this helps.

[Anonymous]

now that I can save the dataframe as .xlsx, how do I open the excel file which is now in the Files folder?

my goal is to eventually email this excel file to someone

thanks

[Anonymous]

Hi @Anonymous 
As specified above you can use Onelake explorer in your local machine to download the file. Then you can send it via email.

You can also download this file into your local desktop using Onelake explorer.
Access Fabric data locally with OneLake file explorer - Microsoft Fabric | Microsoft Learn

Download the latest version of Onelake explorer and sync the Lakehouse.

Hope this helps. Please let me know if you have any further questions.

[Anonymous]

Hi @Anonymous 

Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.