Installation Guide¶
Requirements¶
MetPy supports Python 2.7 as well as Python >= 3.4. Python 3.6 is the recommended version.
- MetPy requires the following packages:
- NumPy >= 1.10.0
- SciPy >= 0.14.0
- Matplotlib >= 1.4.0
- pint >= 0.8
- Installation Instructions for NumPy and SciPy can be found at:
- https://www.scipy.org/scipylib/download.html
- Installation Instructions for Matplotlib can be found at:
- http://matplotlib.org/downloads.html
Pint is a pure python package and can be installed via pip install pint.
Python versions older than 3.4 require the enum34 package, which is a backport
of the enum standard library module. It can be installed via
pip install enum34.
PyProj is an optional dependency (if using the CDM interface to data files).
It can also be installed via pip install pyproj, though it does require
the Proj.4 library and a compiled extension.
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.
Examples¶
The MetPy source comes with a set of example scripts in the examples
directory. These are also available as notebooks in the gallery in
the MetPy Examples.