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PyMT plugins for Permamodel components

Component

PyMT

FrostNumber

from pymt.models import FrostNumber

Ku

from pymt.models import Ku

KuEnhanced

from pymt.models import KuEnhanced

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

Installing pymt_permamodel

Once pymt is installed, the dependencies of pymt_permamodel can be installed with:

conda install permamodel

To install pymt_permamodel,

conda install pymt_permamodel

Credits

Changelog for pymt_permamodel

0.2.3 (2024-11-05)

  • Replace use of pkg_resources with importlib (#6)

0.2.2 (2024-10-23)

  • Updates for pymt v1.3.2 (#5)

0.2.1 (2023-05-25)

  • Update KuEnhanced config file template (#4)

0.2.0 (2023-04-21)

  • Update for babelizer 0.3.9 and permamodel 0.2 (#2)

0.1.3 (2019-05-21)

  • docs: descriptions of min/max air temperatures

0.1.2 (2019-05-19)

  • refactor: move model metadata into package

0.1.1 (2018-10-18)

  • Remove unnecessary numpy import

0.1.0 (2018-10-17)

  • Initial release

Metadata

Release files for pymt-permamodel 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for pymt-permamodel 0.2.3
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Table of built distributions (wheels) for pymt-permamodel 0.2.3
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pymt_permamodel-0.2.3-py3-none-any.whl Python 3 none any Details

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