reana-cmd-plot-workflow-external-script

To run a REANA workflow with an external Python script, you reference the script as an input in your reana.yaml file rather than embedding it inline. This approach avoids YAML parsing errors while executing your data visualization tasks.

Inline Python scripts can break REANA workflow YAML parsing due to formatting and indentation conflicts. Using an external Python script referenced as a defined input prevents these parsing issues and maintains robust workflow configuration.

Yes, you can visualize large Parquet datasets stored on S3 using a REANA workflow. The workflow launches an external Python script to process the S3 data and generate outputs like a PNG plot and an animated GIF.

When plotting S3 Parquet data, a REANA workflow generates a PNG plot and an animated GIF. These explicit outputs are defined in the reana.yaml file alongside resource limits and the plotting command list.

Yes, you need to define resource limits and environments for REANA plotting workflows. The reana.yaml configuration requires explicit inputs, a defined environment, resource requests, and command lists to execute the external script successfully.

The best way to structure a REANA workflow for data visualization is keeping plotting logic in a separate external Python script. You define this script in your workflow inputs, specify the environment, and declare outputs like PNG and GIF files in reana.yaml.