PyMT plugin for dbSEABED datasets.
Project description
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
Tian Gan <gantian127@gmail.com>
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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