A climate visualization package

climvis offers command line tools to display climate data in your browser.

It was written for the University of Innsbruck's scientific programming lecture as a package template for the assignments.

HowTo

Make sure you have all dependencies installed. These are:

• numpy
• pandas
• xarray
• motionless
• matplotlib
• bokeh
• scipy

Download the package and install it development mode. From the root directory, do:

$ pip install -e .

If you are on a university computer, you should use:

$ pip install --user -e .

Usage example of the climtrend app

Command line interface

setup.py defines an "entry point" for a script to be used as a command line program. Currently, two commands are installed: cruvis and climTrend.

After installation, just type:

$ cruvis --help

or

$ climtrend --help

To see what they can do for you.

Testing

I recommend to use pytest for testing. To test the package, do:

$ pytest .

From the package root directory.

License

With the exception of the setup.py file which was adapted from the sampleproject package, all the code in this repository is dedicated to the public domain.