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 >= 3.6.
matplotlib >= 2.1.0
numpy >= 1.16.0
pandas >= 0.24.0
pint >= 0.10.1
pooch >= 0.1
pyproj >= 2.3.0
scipy >= 1.0.0
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.