One of the strengths of Python is its community and the numerous packages at your disposal. As a result, there is an entire ecosystem of figure making libraries out there. The overview below is from Jake VanderPlas' talk "The Python Visualization Landscape" at PyCon 2017:
Now that we are nearing the end, sit back and relax and take a brief look at the possibilities that different Python packages offer for figure making.
The Python Graph Gallery is a nice resource if you have an idea of what kind of graph you'd like to make but you aren't sure what Python tools you can use for it, even though it's not entirely up to date in all sections. Or you can look at the tools listed below or displayed above. Websites of plotting libraries almost always have a "gallery" section which you can browse for inspiration for your next plot.
General purpose plotting libraries:
Interactive plots and dashboards:
Other libraries have more or less specific purposes:
Making maps:
Now is your time to look back over the notebooks and ask us about anything you're unsure of. You can experiment with your own data, try to import it to Python and plot it up. Feel free to ask the instructors for help
Much of this short course is condensed/stolen from the UEA Cefas 3 day "Python for data science" course. The materials are available as jupyter notebooks here.
Your feedback helps us improve this course and is greatly appreciated: https://forms.gle/9v7PF6JVLXVFZLTu9.
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