Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!

Reply
Anonymous
Not applicable

Python Visual removing imported data

Hello,

 

I am trying to create a python visual in Power BI. But it seems that it is removing duplicates on a weird way. 

My dataset containes Customers (unique CustomerIDs) split into Active and Churned. You can see in the table that number of Customer IDs is the same as number of distinct Customer IDs (i.e. there are no duplicates).

However, when imported into a python visual, it removes many rows. I dont understand why.

Do you maybe have a clue what is happening here?

 

Thank you

2.png

1 ACCEPTED SOLUTION
Anonymous
Not applicable

I figured it out.

 

The problem is the constraint on all python visuals.

Python visuals can only import up to 150.000 rows per dataframe and mine is at least double that size (source: link).

I did some work around by importing whole dataframe using Python Script in Power Query as a table in Power BI and visualize it with standard Power BI visuals. So no fancy visualizations for me...

 

 

Hope this saves somebody from time waste in future.

 

 

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

I figured it out.

 

The problem is the constraint on all python visuals.

Python visuals can only import up to 150.000 rows per dataframe and mine is at least double that size (source: link).

I did some work around by importing whole dataframe using Python Script in Power Query as a table in Power BI and visualize it with standard Power BI visuals. So no fancy visualizations for me...

 

 

Hope this saves somebody from time waste in future.

 

 

Thanks for Sharing. Please any more details that can help another user, if needed.

Kudos to you !!

amitchandak
Super User
Super User

Helpful resources

Announcements
April AMA free

Microsoft Fabric AMA Livestream

Join us Tuesday, April 09, 9:00 – 10:00 AM PST for a live, expert-led Q&A session on all things Microsoft Fabric!

March Fabric Community Update

Fabric Community Update - March 2024

Find out what's new and trending in the Fabric Community.