In general, MetPy tries to support minor versions of dependencies released within the last two years. For Python itself, that generally means supporting the last two minor releases; MetPy currently supports Python >= 3.10.
"matplotlib>=3.5.0",
"numpy>=1.23.0",
"pandas>=1.4.0",
"pint>=0.17",
"pooch>=1.2.0",
"pyproj>=3.3.0",
"scipy>=1.8.0",
"traitlets>=5.1.0",
"xarray>=2022.6.0"
Installation#
The easiest way to install MetPy is through pip:
If you are a user of the Conda package manager, there are also up-to-date packages for MetPy (as well as its dependencies) available from the conda-forge channel:
conda install -c conda-forge metpy
The source code can also be grabbed from GitHub. From the base of the source directory, run:
This will build and install MetPy into your current Python installation.
Working With Conda#MetPy Monday videos #1, #2, and #3 demonstrate how to install the conda package manager and Python packages, and how to work with conda environments.
Examples#The MetPy source comes with a set of example scripts in the examples directory. These are also available as notebooks in the Example Gallery.
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