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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"