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PyMT plugin for dbSEABED datasets.

Project description

Basic Model Interface https://img.shields.io/badge/recipe-pymt_dbseabed-green.svg Documentation Status https://img.shields.io/badge/License-MIT-blue.svg

pymt_dbseabed is a package that uses the bmi_dbseabed pacakge to convert dbSEABED datasets into a reusable, plug-and-play data component for PyMT modeling framework developed by Community Surface Dynamics Modeling System (CSDMS). This allows dbSEABED datasets to be easily coupled with other datasets or models that expose a Basic Model Interface.

Installing pymt

Installing pymt from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Note: Before installing pymt, you may want to create a separate environment into which to install it. This can be done with,

conda create -n pymt python=3
conda activate pymt

Once the conda-forge channel has been enabled, pymt can be installed with:

conda install pymt

It is possible to list all of the versions of pymt available on your platform with:

conda search pymt --channel conda-forge

** Please make sure to install python=3.11, model_metadata=v0.7, gimli=v0.2.4, gimli.units=0.3.0. Otherwise, you may encounter import error for pymt_dbseabed.

Installing pymt_dbseabed

To install pymt_dbseabed, use pip

pip install pymt_dbseabed

or conda

conda install -c conda-forge pymt_dbseabed

Coding Example

You can learn more details about the coding example from the tutorial notebook.

Credits

Changelog for pymt_dbseabed

0.1.1 (2025-03-07)

  • update package to work for pymt 1.3.2

0.1.0 (2024-04-16)

  • Initial release

Project details


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