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>=0.10.1
pooch>=1.2.0
pyproj>=2.5.0
scipy>=1.4.0
traitlets>=4.3.0
xarray>=0.14.1
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.