Install Guide#

Requirements#

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 >= 3.8.

    "matplotlib>=3.3.0",
    "numpy>=1.18.0",
    "pandas>=1.0.0",
    "pint>=0.15",
    "pooch>=1.2.0",
    "pyproj>=2.6.1",
    "scipy>=1.4.0",
    "traitlets>=5.0.5",
    "xarray>=0.18.0"

Installation#

The easiest way to install MetPy is through pip:

pip install metpy

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:

pip install .

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.