Installing¶
Note
🚨 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.
Quickstart¶
The fastest way to install PyGMT is with the conda package manager which takes care of setting up a virtual environment, as well as the installation of GMT and all the dependencies PyGMT depends on:
conda create --name pygmt --channel conda-forge pygmt
To activate the virtual environment, you can do:
conda activate pygmt
After this, check that everything works by running the following in a Python interpreter (e.g. in a Jupyter notebook):
import pygmt
pygmt.show_versions()
You are now ready to make you first figure! Start by looking at the tutorials on our sidebar, good luck!
Note
The sections below provide more detailed, step by step instructions to installing and testing PyGMT for those who may have a slightly different setup.
Which Python?¶
PyGMT is tested to run on Python 3.7 or greater. Older Python versions may work, but there is no guarantee that PyGMT will behave as expected.
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 the GMT official site. We need the latest GMT (>=6.1.1) 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, macOS and Windows 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.
We recommend following the instructions further on to install GMT 6.
Dependencies¶
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 via the conda package manager.
We recommend working in an isolated
conda environment
to avoid issues with conflicting versions of 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 feel free to change it to whatever you
want):
conda create --name pygmt python=3.9 pip numpy pandas xarray netcdf4 packaging gmt
Activate the environment by running the following (do not forget this step!):
conda activate pygmt
From now on, all commands will take place inside the conda virtual environment called ‘pygmt’ and won’t affect your default ‘base’ installation.
Installing PyGMT¶
Now that you have GMT installed and your conda virtual environment activated, you can install PyGMT using any of the following methods:
Using conda (recommended)¶
This installs the latest stable release of PyGMT from conda-forge:
conda install pygmt
Using pip¶
This installs the latest stable release from PyPI:
pip install pygmt
Alternatively, you can install the latest development version from TestPyPI:
pip install --pre --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pygmt
or from PyGMT’s GitHub repository (slower as it downloads the whole archive):
pip install git+https://github.com/GenericMappingTools/pygmt.git#egg=pygmt
Any of the above methods (conda/pip) should allow you to use the pygmt
library from Python.
Testing your install¶
Quick check¶
To ensure that PyGMT and its depedencies are installed correctly, run the following in your Python interpreter:
import pygmt
pygmt.show_versions()
Or run this in the command line:
python -c "import pygmt; pygmt.show_versions()"
Full test (optional)¶
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 environment activated):
conda install pytest pytest-mpl ipython
Test your installation by running the following inside a Python interpreter:
import pygmt
pygmt.show_versions()
pygmt.test()