Generate Plot

Generate a statistical plot from CSV/JSON data using PaperBanana. Provide a data file and describe the visualization intent.

Generate Plot: $ARGUMENTS

Read the figure-engine skill first.

Steps

  1. Parse $ARGUMENTS — extract the data file path and visualization intent
  2. Read and validate the data file (CSV or JSON)
  3. PRIMARY: Use the direct Python API via paperbanana_direct.py script: 
    PB_SCRIPT="$(find ~/.claude/plugins -name paperbanana_direct.py -path '*/open-academic-paper-machine/*' 2>/dev/null | head -1)" && \
python3 "$PB_SCRIPT" plot \
  --data '{"col1": [...], "col2": [...]}' \
  --caption "Description of the plot" \
  --output-dir figures/ \
  --filename "fig_results_name.png" \
  --iterations 3
  4. If the script is not found, FALLBACK: generate using Python (matplotlib/seaborn) with academic styling
  5. Save output PNG to figures/ in the workspace (300 DPI, tight layout)
  6. Provide the LaTeX \begin{figure} snippet ready for inclusion
  7. Show the user the generated figure using the Read tool on the PNG path