Limitations of Python visuals
Python visuals have some important limitations regarding the data they can handle, both input and output:
- A Python visual can handle a dataframe with only 150,000 rows. If there are more than 150,000 rows, only the first 150,000 rows are used.
- Python visuals have an output size limit of 2 MB.
You must also be careful not to exceed the 5-minute runtime calculation for a Python visual in order to avoid a time-out error. Moreover, in order not to run into performance problems, the resolution of the Python visual plots is fixed at 72 DPI.
As you can imagine, some limitations of Python visuals are different depending on whether you run the visual on Power BI Desktop or the Power BI service.
When creating reports in Power BI Desktop, you can do the following:
- Install any kind of package (PyPI and custom) in your engine for Python visuals.
- Access the internet from a Python visual.
When creating reports in the Power...
