To use it, you need three things:
- A Python 3 interpreter
- Metview 5 needs to be installed and in your PATH
- Metview's Python module needs to be accessible from Python
So, to try it right now, do the following from a terminal:
The internal installation at ECMWF also includes the cfgrib library for obtaining xarray datasets from GRIB. Metview's
to_dataset() function uses this internally from version 0.8.4 onwards.
If you plan to use the cfgrib module directly, you should also ensure that the ecCodes library is in your LD_LIBRARY_PATH:
To check that Metview's binary and Python parts can communicate with each other, type this
Here's a quick Python program to check that it's working. Copy this into a file called
and run it like this:
If this works, then you have successfully set up Metview's Python interface!
Need more output?
Set the following environment variable before starting your Python interpreter, and you will see much more output from Metview:
For a quick start, check out some of the examples in the Gallery. They all have Python code, and each contains a tarball containing its code and data.
Look at the Jupyter notebooks in the examples folder on github for more inspiration!
To see the different environments you can write Metview Python scripts in, see Developing and Running Metview Python Scripts.
To understand what Metview's functions take as input and output in a Python environment, see Using Metview's Python Interface.