WebThe geochemistry module works with chemical databases in a simple JSON format, making it easy to parse in a variety of applications or languages. Python database … WebWith Python/xarray, here's how you open a NetCDF file, extract a variable "O3", and save it to a new file. import xarray as xr # use "xr" as a shortcut for the xarray module ds = xr. …
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WebFeb 14, 2024 · Graphical methods have been widely used for visualization, classification, and interpretation of aqueous geochemical data to obtain a better understanding of … Web0:00 / 3:02 "Modeling Groundwater Chemistry with PHREEQC, PHAST and Python" course Ingeoexpert 7.5K views 3 years ago Join our "Modeling Groundwater Chemistry with …
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WebADEME. oct. 2024 - aujourd’hui1 an 7 mois. Bordeaux, Nouvelle-Aquitaine, France. PhD researcher in the Aquifer-CO2 leak projet. Monitoring and … pyrolite is a set of tools for making the most of your geochemical data. The python package includes functions to work with compositional data, to transform geochemical variables (e.g. elements to oxides), functions for common plotting tasks (e.g. spiderplots, ternary diagrams, bivariate and ternary density … See more If you want the most up to date development version, you can instead install directly from the GitHub repo. Note that breaking … See more The long-term aim of this project is to be designed, built and supported by (and for) the geochemistry community. The project welcomes feature requests, bug reports and contributions to … See more Check out the documentation for galleries of examples and tutorials. If you'd rather flip through notebooks here on GitHub, these same … See more If you use pyrolite extensively for your research, citation of the software would be particularly appreciated. It helps quantify the impact of the project (assisting those contributing through … See more
WebAug 31, 2024 · The code is written in Python language version 3.x, which is mostly, but not completely, backward compatible with Python 2.x languages and a set of third party libraries including NumPy (van der Walt et al., 2011), SciPy (Jones et al., 2001), Pandas (McKinney, 2010), Scikit-learn (Pedregosa et al., 2011), Matplotlib (Hunter, 2007), and Jupyter ...
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