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Visualization of Aqueous Geochemical Data Using Python and WQChartPy.

Jing Yang1,2, Honghua Liu3,4, Zhonghua Tang5

  • 1College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.

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Summary
This summary is machine-generated.

WQChartPy is a new open-source Python package for visualizing aqueous geochemical data. It generates 12 types of geochemical diagrams, aiding hydrologic system analysis and scientific publication.

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Area of Science:

  • Hydrogeology
  • Geochemistry
  • Environmental Science

Background:

  • Graphical methods are crucial for interpreting aqueous geochemical data.
  • Understanding surface and subsurface hydrologic systems relies on effective data visualization.
  • Existing software lacks comprehensive plotting tools for diverse geochemical diagrams.

Purpose of the Study:

  • Introduce WQChartPy, an open-source Python package for plotting geochemical diagrams.
  • Provide a versatile tool for analyzing aqueous geochemical data.
  • Facilitate the interpretation of hydrologic systems through enhanced visualization.

Main Methods:

  • Developed an open-source Python package, WQChartPy.
  • Implemented 12 geochemical diagram types, including traditional and novel ones.
  • Ensured compatibility with various data formats (Excel, CSV, delimited text).

Main Results:

  • WQChartPy generates 12 distinct geochemical diagrams.
  • The package supports common data formats and outputs in PNG, SVG, and PDF.
  • Online notebooks demonstrate WQChartPy's ease of use for geochemical data analysis.

Conclusions:

  • WQChartPy offers a powerful and accessible solution for aqueous geochemical data visualization.
  • The package enhances the analysis and interpretation of hydrologic systems.
  • Open-source availability promotes wider adoption in scientific research and publication.