Here are some different ways that you can use Metview's Python interface. Make sure you have set up your environment first.

Text editor and command line

Perhaps the simplest - just use any text editor to edit the Python code and run it from the command line, e.g.

python3 my_metv_python_script.py

Python IDE

Python IDEs, such as PyCharm, provide an interactive environment and even debugging facilities.

Jupyter notebook

A Jupyter notebook provides an interactive workspace combining code, plots and documentation. It runs in a web browser and can be started from the command-line as follows:

jupyter notebook

This command will open a new tab in your web browser, or you can copy the URL yourself.

Now, create a new Notebook using the New menu and selecting Python 3:

You can start typing your code into the cells. Press CTRL-Return to execute the code in the current cell, or SHIFT-Return to execute and move to the next code cell. The Kernel menu allows the restart of a session. To generate plots inside the notebook, call

mv.setoutput('jupyter')

at some point before calling the plot() command. By default, plots will go to an interactive Metview plot window unless this is done.

A Metview session