eomaps 7.1

A library to create interactive maps of geographical datasets.

                 

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EOmaps - Interactive maps in python!

EOmaps is a python package to visualize and analyze geographical datasets.

It is built on top of matplotlib and cartopy and provides an intuitive and easy-to-use interface to speed up and simplify the creation and comparison of maps.

What can EOmaps do for you?

• Create ▤ multi-layered maps and interactively compare different layers with each other
• 🔴 Visualize datasets with millions of datapoints and handle reprojections
• Provide a comprehensive set of tools to customize the map
  • 🌵NaturalEarth features
  • 📏Scalebars
  • ▦ Gridlines
  • 🛰 WebMap layers
  • 🏕 Annotations, Markers, Lines, Logos...
  • . . .
• Get a useful 🧰 CompanionWidget GUI
• Use 🛸 Callbacks to interact with the figure
• Interactively re-arrange multiple maps in a figure with the 🏗️ LayoutEditor
• 🗺 Export publication ready high resolution images (png, jpeg, tiff, ...)
  or export figures as vektor graphics (svg, eps, pdf ...)
• . . . and much more!

Checkout the 🌱 Basics in the documentation to get started!

🔨 Installation

To install EOmaps (and all its dependencies) via the conda package-manager, simply use:

conda install -c conda-forge eomaps

... to get a huge speedup, use mamba to solve the dependencies!

conda install -c conda-forge mamba
mamba install -c conda-forge eomaps

Need more information?

• Have a look at the 🐛Installation instructions in the docs.
• Checkout the quickstart guide 🚀 From 0 to EOmaps.

📖 Documentation

Make sure to have a look at the 📖 Documentation which provides a lot of 🌐Examples on how to create awesome interactive maps (incl. 🐍 source code)!

✔️ Citation

Did EOmaps help in your research?
Support the development and add a citation to your publication!

🌟 Contribute

Interested in contributing to EOmaps? Awesome!

• Checkout the 🚀 Contribution Guide on how to get started!

Found a bug or got an idea for an interesting feature?
Open an issue or start a discussion, and I'll see what I can do!

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🌼 Thanks to

• Jakob Quast for designing the nice logo!