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PyNomo software dataset for sciences and engineering nomogram construction.

Pedro Martínez-Pagán1, Leif Roschier2

  • 1Department of Mining and Civil Engineering, Universidad Politécnica de Cartagena, Cartagena 30203 Spain.

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Summary
This summary is machine-generated.

This study presents Python codes for creating nomograms using PyNomo software, simplifying the visualization of scientific and engineering formulas. These codes support various nomogram types, offering templates for custom applications.

Keywords:
Alignment charts scriptsNomographyPyNomoPython-based codeSciences and engineering computing

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Area of Science:

  • Computational Science
  • Engineering Mathematics
  • Data Visualization

Background:

  • Nomograms are graphical calculation tools widely used in science and engineering.
  • Traditional nomogram construction can be complex and time-consuming.
  • PyNomo software offers a platform for automated nomogram generation.

Purpose of the Study:

  • To provide Python-based codes for constructing various types of nomograms using PyNomo software.
  • To serve as template scripts for users to create custom nomograms for diverse technical applications.
  • To facilitate the visualization of scientific and engineering formulas through alignment charts.

Main Methods:

  • Development and examination of Python scripts tailored for PyNomo nomographer software.
  • Implementation of codes for specific nomogram types (1, 2, 7, 8, 9, 10) supported by PyNomo.
  • Inclusion of mathematical background and implementation guidance for each script.

Main Results:

  • A collection of functional PyNomo codes for constructing multiple nomogram types.
  • Demonstration of how to apply these codes for specific scientific and engineering equations.
  • Availability of template scripts for user customization and application.

Conclusions:

  • The provided Python codes and PyNomo scripts enable efficient nomogram construction.
  • These tools are valuable for researchers and engineers needing to visualize complex formulas.
  • The study simplifies the application of nomography in various scientific and engineering disciplines.