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# sublimpy Tools for working with data from the Sublimation of Snow project.

Check out test.ipynb to see some functionality.

Contains the following modules: sublimpy.utils * Utilities for downloading, cleaning, and otherwise working with SoS data.

sublimpy.variables * Convenience functions for calculating additional variables from SoS measurements. * E.g. surface temperatures, virtual potential temperatures, turbulent kinetic energy

sublimpy.tidy * Convenience functions for creating a tidy dataframe dataset from SoS NetCDF datasets. * Tidy dataframes have “height”, “tower”, and “measurement” columns which are parsed from the variables provided in the original SoS datasets.

sublimpy.gradients * Classes to calculate wind and temperature gradients and Richardson numbers from SoS measurements. * Multiple methods are available, including fitting log-linear and log-polynomial curves, and simple central-differencing.

This package is published exclusively to pip. It can be installed ` pip install sublimpy `

It is published to pypi like so: ` python setup.py sdist bdist_wheel python -m twine upload dist/* `

Release files for sublimpy 0.0.1

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

Source distribution (sdist)

Source distribution for sublimpy 0.0.1
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Table of built distributions (wheels) for sublimpy 0.0.1
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sublimpy-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 31.3 kB

Release files / sublimpy-0.0.1.tar.gz

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