Generate Plot

Generate a publication-quality statistical plot from a data file using PaperBanana.

Instructions

1. Read the data file at $ARGUMENTS[0].
2. Prepare the data for the MCP tool:
   • If the file is CSV: parse it and convert to a column-keyed dictionary (keys = column names, values = arrays of column values), then serialize with json.dumps() to produce a JSON string.
   • If the file is JSON: use the raw file content as-is (it is already a JSON string).
3. If $ARGUMENTS[1] is provided, use it as the plot intent. Otherwise, ask the user for a description of the desired plot (e.g., "Bar chart comparing model accuracy across benchmarks").
4. Call the MCP tool generate_plot with:
   • data_json: the JSON string (not a parsed object)
   • intent: the plot description
   • iterations: 3 (default)
5. Present the generated plot to the user.

CLI Fallback

If the MCP tool is not available, fall back to the CLI:

paperbanana plot --data <file> --intent "<intent>"

Example

/generate-plot results.csv "Bar chart comparing model accuracy"