🚨 This package is in the early stages of design and implementation. 🚨

We welcome any feedback and ideas! Let us know by submitting issues on Github or by posting on our Discourse forum.

Which Python?

You’ll need Python 3.6 or greater to run PyGMT.

We recommend using the Anaconda Python distribution to ensure you have all dependencies installed and the conda package manager available. Installing Anaconda does not require administrative rights to your computer and doesn’t interfere with any other Python installations in your system.

Which GMT?

PyGMT requires Generic Mapping Tools (GMT) version 6 as a minimum, which is the latest released version that can be found at this website.

We need the latest GMT (>=6.0.0) since there are many changes being made to GMT itself in response to the development of PyGMT, mainly the new modern execution mode.

Compiled conda packages of GMT for Linux and Mac are provided through conda-forge. Advanced users can also build GMT from source instead, which is not so recommended but we would love to get feedback from anyone who tries. For Windows, conda GMT packages are available, but they do not currently work with PyGMT, so users will need to build from source or use the Windows Subsystem for Linux, see here for more details.

We recommend following the instructions further on to install GMT 6.


PyGMT requires the following libraries:

The following are optional (but recommended) dependencies:

  • IPython: For embedding the figures in Jupyter notebooks.

Installing GMT and other dependencies

Before installing PyGMT, we must install GMT itself along with the other dependencies. The easiest way to do this is using the conda package manager. We recommend working in an isolated conda environment to avoid issues with competing versions of its dependencies.

First, we must configure conda to get packages from the conda-forge channel:

conda config --prepend channels conda-forge

Now we can create a new conda environment with Python and all our dependencies installed (we’ll call it pygmt but you can change it to whatever you want):

conda create --name pygmt python=3.6 pip numpy pandas xarray packaging gmt=6.0.0

Activate the environment by running:

conda activate pygmt

From now on, all commands will take place inside the conda virtual environment and won’t affect your default installation.


Currently, this has only been tested to work on Linux and macOS. We don’t have tests running on Windows yet, so things might be broken. Please report any errors by creating an issue on Github.

Installing PyGMT

Now that you have GMT installed and your conda environment activated, use pip to install the latest release of PyGMT from PyPI:

pip install pygmt

Alternatively, you can install the development version from the Github repository:

pip install

This will allow you to use the pygmt library from Python.

Testing your install

PyGMT ships with a full test suite. You can run our tests after you install it but you will need a few extra dependencies as well (be sure to have your conda env activated):

conda install pytest pytest-mpl sphinx jinja2 docutils ipython

Test your installation by running the following inside a Python interpreter:

import pygmt

Finding the GMT shared library

Sometimes, PyGMT will be unable to find the correct version of the GMT shared library. This can happen if you have multiple versions of GMT installed.

You can tell PyGMT exactly where to look for libgmt by setting the GMT_LIBRARY_PATH environment variable. This should be set to the directory where, libgmt.dylib or gmt.dll can be found for Linux, MacOS and Windows respectively. e.g. in a terminal run:

export GMT_LIBRARY_PATH=$HOME/anaconda3/envs/pygmt/lib