Installing Fatiando¶

Which Python?¶

For the moment, Fatiando is only tested on Python 2.7. Support for Python >= 3.5 is planned for future releases. If you’d like to help us add support for Python 3, please get in touch through the mailing list.

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.

Installing with conda¶

You can install Fatiando and all it’s dependencies using the conda package manager by running:

conda install fatiando --channel conda-forge

This command will automatically install a pre-compiled version of Fatiando and all required dependencies. The compiled conda packages are made through the conda-forge community-led organization.

The above command will not install Mayavi automatically because it requires an older version of numpy (1.9). This means that, if you want to install Mayavi, you won’t be able to use the latest versions of most libraries, particularly matplotlib > 1.4. However, if you do want Mayavi, you can install Fatiando compatible numpy 1.9 by using:

conda install fatiando mayavi --channel conda-forge

Be aware that this will likely downgrade your installed libraries to be compatible.

Installing with pip¶

You can also install Fatiando using the pip package manager:

pip install fatiando

However, this will require that you already have all dependencies installed as well as a C compiler.

On Windows you might get an error saying that Microsoft Visual C++ is required (Unable to find vsvarsall.bat). like the following:

This is because you don’t have the Microsoft C compiler installed. Follow the link in the error message (http://aka.ms/vcpython27) to download the Microsoft Visual C++ Compiler for Python 2.7. Install it and install Fatiando again.

Installing the latest development version¶

If you want the very latest code and features, you can install Fatiando directly from Github. We try to maintain the master branch stable and passing all tests, so it should be safe to use.

First, make sure you have all dependencies installed and a C compiler available (see the pip instructions above). To install the latest version from Github:

pip install https://github.com/fatiando/fatiando/archive/master.zip

or if you have git installed and want to see the code:

git clone https://github.com/fatiando/fatiando.git
cd fatiando
pip install -e .

Note that the fatiando.__version__ variable has the current version number. If you install from PyPI or conda-forge, this will be something like '0.2'. If you installed from Github, this will be the latest commit hash. This way you can track exactly what version of Fatiando generated your results.

Dependencies¶

Fatiando requires the following dependencies for running:

• numpy
• scipy
• numba
• future
• matplotlib
• pillow

The following are also recommended but optional:

• Jupyter: for running the Jupyter notebook and interactive widgets.
• basemap: matplotlib toolkit for plotting maps with projections.
• mayavi: for 3D plotting.

You can install all of these dependencies using conda by running the following command on a terminal (or cmd.exe on Windows):

conda install numpy scipy numba future matplotlib pillow jupyter basemap mayavi

Testing the install¶

You can test your install by running our test suite. We use py.test to manage our tests, so you’ll need to have it installed. You can do this by running conda install pytest if you use conda or pip install pytest if you use pip. After that, you can run the tests by running the following in the Python (or IPython) interpreter:

import fatiando
fatiando.test()

Alternatively, you can run the following from the command line (or cmd.exe):

python -c "import fatiando; fatiando.test()"

That should run all our automated tests (it might take a few minutes).

Another way to test that Fatiando is working is to try running one of the recipes from the Gallery or Cookbook.

If any of the tests fail or you get an error message or weird result from a recipe, please write to the mailing list. To make it easier for us to debug you problem, please include the following information:

• Operating system
• Version of Fatiando you installed
• Python distribution (Anaconda, ETS/Canopy, own install)
• Python version (2.6, 2.7, 3.3, 3.4, etc)
• The script you ran (and gave you an error/weird result)
• The error message (the part that says Traceback: ...) or result (figure, numbers, etc)

We really appreciate the feedback! Reporting problems helps us try to make Fatiando better and easier to install.