Exporting Results

Purpose

Use this guide when you need to move solved OpenPinch results into tables, workbooks, HTML graphs, or an interactive dashboard.

Prerequisites

Run a solve first. Install openpinch[notebook] for Excel and graph exports or openpinch[dashboard] for the Streamlit dashboard.

Sample Case

Use basic_pinch.json for first exports. Use pulp_mill.json when you want Total Site and cogeneration outputs in the same workbook.

Runnable Workflow

from OpenPinch import PinchProblem

problem = PinchProblem("basic_pinch.json")
problem.target.all_heat_integration()

summary = problem.summary_frame()
detailed = problem.summary_frame(detailed=True)
workbook_path = problem.export_excel("results")
graph_paths = problem.plot.export(
    "graphs",
    plot=problem.plot.grand_composite_curve,
)

Expected Output

  • summary_frame() returns a pandas table for scriptable inspection.

  • export_excel(...) writes workbook artifacts for review or handoff.

  • problem.plot.export(...) writes portable HTML graph files.

  • show_dashboard() opens the Streamlit review surface when dashboard dependencies are installed.

Interpretation

Choose the output by audience:

  • Use summary frames for Python analysis and regression checks.

  • Use Excel when the review audience expects spreadsheet artifacts.

  • Use HTML graphs when visual interpretation needs to be shared outside Python.

  • Use the dashboard when a solved case needs interactive inspection.

The CLI does not provide export commands. Use Python for solved outputs.

Next Steps