Question

How do I debug and resolve Python script execution errors in Power BI?

Running Python scripts in Power BI may lead to various execution errors due to library incompatibilities, data type issues, or environmental setups. What are the best practices and tools for debugging and resolving these errors efficiently?

Answer 1

Debugging and solving errors when executing Python scripts in Power BI:

Check Environment Setup: In Options> Python scripting, set the correct Python version and path. Make sure libraries (e.g., pandas and matplotlib) are installed.

Correction of Privacy Level Conflicts: Privacy Level settings under File > Options and settings > Data source settings should be either set to "Ignore Privacy Levels" or made equal among data sources.

Address Typed Problems: With a method like df.dtypes, check the variable types and convert them (pd.to_numeric(), e.g.) as desired in your script.

Run Scripts Externally: Execute the script on any Python IDE (like Jupyter or VS Code) using the same dataset to eliminate what might be a problem with the dataset.

Switch on Logging: Integrate try-except blocks in your code to capture errors, and turn on Power BI diagnostics for extensive logs.

Rights and Libraries Verified materials: The data source's permissions are fine, and library versions are compatible. Dependency is managed with distinct virtual environments.

Following these steps will help you debug and fix issues related to Python's work in Power BI.