cool-maps 1.0.2

Helper functions around cartopy for plotting data on maps. These functions are written to easily generate nice-looking maps.

Readme

cool_maps is a package containing functions that utilizearound the cartopy for plotting data on maps.

These functions are written to easily generate maps using pre-defined settings that our lab, Rutgers Center for Ocean Observing Leadership, prefers to use.

Installation

Stable release

We recommend using miniconda to manage your Python environments. Download and follow the Miniconda installation guide for the appropriate Miniconda installer for your operating system.

Install with conda:

$ conda install -c conda-forge cool_maps

From sources

The sources for cool_maps can be downloaded from the Github repo.

You can either clone the public repository:

$ git clone git://github.com/rucool/cool_maps

Or download the tarball:

$ curl -OJL https://github.com/rucool/cool_maps/tarball/master

Change your directory to the source code of cool_maps

$ cd ~/cool_maps

Once you are in the correct directory, there are two ways to install from source.

Method 1:

$ python setup.py install

Method 2:

$ pip install .

History

0.0.6 (2022-09-21)

• Create conda build for conda-forge

• Add Sphinx documentation

0.0.3 (2022-07-20)

• Create conda build

0.0.2 (2022-07-19)

• Initial commit to GitHub