Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
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
Solved! Go to Solution.
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.
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 !!
Check, if this can help
https://towardsdatascience.com/using-python-in-power-bi-ee95a6b71443
User | Count |
---|---|
141 | |
113 | |
104 | |
77 | |
64 |
User | Count |
---|---|
135 | |
123 | |
101 | |
71 | |
61 |