Welcome to the documentation for EOmaps!
EOmaps is a Python package to visualize and analyze geographical datasets.
It is built on top of matplotlib and cartopy and aims to provide an
intuitive and easy-to-use interface to handle the following tasks:
βΆ Speed up and simplify the creation and comparison of maps
βΆ Visualize small datasets as well as millions of datapoints
βΆ Handle 1D and 2D datasets and create plots from NetCDF, GeoTIFF or CSV files
βΆ Take care of re-projecting the data
βΆ Compare or overlay different plot-layers and WebMap services
βΆ Use the maps as interactive data-analysis widgets (e.g. execute functions if you click on the map)
βΆ Provide a versatile set of tools to customize the maps
βΆ Arrange multiple maps in one figure
βΆ Get a nice colorbar with a histogram on top
βΆ Export high resolution images
A detailed overview on how to use EOmaps is given in the π Users Guide.
Make sure to check out the πΊ EOmaps examples for an overview of the capabilities (incl. source code)!
Contentsο
General
How to use EOmaps
Map Features
Interactivity
Examples
- πΊ EOmaps examples
- Basic data visualization
- Customize the appearance of the plot
- Data-classification and multiple Maps in a figure
- Callbacks - turn your maps into interactive widgets
- Overlays, markers and annotations
- WebMap services and layer-switching
- Vektor data - interactive geometries
- Using Scalebars
- Data analysis widgets - Timeseries and histograms
- Data analysis widgets - Select 1D slices of a 2D dataset
- Inset-maps - get a zoomed-in view on selected areas
- Lines and Annotations
- Gridlines and Grid Labels
- Contour plots and Contour Levels
Contribute
API Reference