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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.
Ground Water
|February 14, 2022
Summary
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.
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.
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