- Try an online demo at try.gmtpython.xyz
- Install (tested and working on Linux and macOS)
- Follow the Tutorials.
- Take a look at the API Reference for a list of modules that are already available.
Found a typo? You can fix it by clicking on “Improve this page” at the top of every page. Some pages are autogenerated and can’t be edited so you’ll be prompted to report an issue instead. We really appreciate the help!
Watch the Scipy 2017 talk about GMT/Python for more information about the history and goals of the project:
- Build a modern Pythonic API that appeals to Python programmers who want to use GMT.
- Implement readable and explicit aliases for the GMT command-line arguments
- Use the new GMT modern mode for simplified execution and figure generation.
- Interface with the GMT C API directly using
ctypes(no system calls).
- Integration with the Jupyter notebook to display plots and maps inline.
- Input and output using Python native containers:
pandas.DataFramefor data tables and xarray
Datasetfor netCDF grids.
- Most discussion happens on Github. Feel free to open an issue or comment on any open issue or pull request.
- We have chat room on Gitter where you can ask questions and leave comments.
- Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Please read our Contributing Guide to see how you can help and give feedback.
Imposter syndrome disclaimer¶
We want your help. No, really.
There may be a little voice inside your head that is telling you that you’re not ready to be an open source contributor; that your skills aren’t nearly good enough to contribute. What could you possibly offer?
We assure you that the little voice in your head is wrong.
Being a contributor doesn’t just mean writing code. Equality important contributions include: writing or proof-reading documentation, suggesting or implementing tests, or even giving feedback about the project (including giving feedback about the contribution process). If you’re coming to the project with fresh eyes, you might see the errors and assumptions that seasoned contributors have glossed over. If you can write any code at all, you can contribute code to open source. We are constantly trying out new skills, making mistakes, and learning from those mistakes. That’s how we all improve and we are happy to help others learn.
This disclaimer was adapted from the MetPy project.