pm4py no visualization

[rushank29]

Hi,

I am trying to use pm4py library to visualize my data. my code executes perfectly but there is no visualization how can i solve this problem ? There is no error message

#processmining # databricks #pm4py

[Kaniz]

Hi @rushank29, Here are a few steps you can take to address the problem:

1. Check Dependencies:

   • Ensure that you have all the necessary dependencies installed. Sometimes missing or outdated packages can cause issues with visualization libraries.
   • Verify that you have the required versions of pm4py and any other relevant libraries (such as matplotlib or graphviz).

2. Inspect Your Code:

   • Double-check your code to ensure that you are correctly invoking the visualization functions from pm4py.
   • Make sure you are using the appropriate visualization method for your data (e.g., process models, petri nets, etc.).

3. Matplotlib Integration:

   • If you’re using pm4py with Power BI, consider using the matplotlib_view(gviz) function to display th...¹.
   • However, be aware that sometimes the process map may appear small with large white borders. You might need to adjust the visualization settings to improve its appearance.

4. Petri Net Visualization Issue:

   • If you encounter a specific issue related to the petri net visualization, ensure that you are importing the correct module. For example, use:

     from pm4py.visualization.petri_net import visualizer as pn_visualizer
     

     instead of:

     from pm4py.visualization.petrinet import visualizer as pn_visualizer
     

     The latter import statement may cause a ModuleNotFoundError²³.

5. Graphviz Installation:

   • If you’re working with petri nets, make sure you have Graphviz installed. pm4py relies on Graphviz for visualizing petri nets.
   • Install Graphviz using pip install graphviz.

6. Inspect Data and Model:

   • Verify that your data and process model are correctly loaded into pm4py.
   • Check if there are any specific parameters or options you need to set for visualization (e.g., layout, colors, etc.).

7. Debugging:

   • Even though there are no error messages, consider adding some print statements or logging to see if the visualization code is being executed as expected.
   • Inspect the output of the visualization functions to see if any unexpected results occur.

Remember that debugging visualization issues can sometimes be tricky, but with patience and thorough investigation, you’ll likely find the solution. If you encounter any specific errors or need further assistance, feel free to share more details, and I’ll be happy to help! 🚀