Geocoding
¶
Administrative Levels¶
Country¶
State¶
County¶
City¶
Geometries¶
Polygons¶
Points¶
Rectangles¶
Guides to Geocoding¶
Documentation: The Geocoding Reference Guide.
An example notebook covering various geocoding use-cases: geocoding_reference.ipynb.
Examples¶
Key Features¶

Grammar of Graphics
We recommend an excellent book called “ggplot2: Elegant Graphics for Data Analysis”. This will be a good prerequisite for further exploration of the Lets-Plot library.
Customizable Tooltips
You can customize the content, values formatting and appearance of tooltip for any geometry layer in your plot. Learn more.
Formatting
Lets-Plot supports formatting of numeric and date-time values in tooltips, legends, on the axes and text geometry layer. Learn more.
Kotlin API
R, Python, what’s next? Right. Lets-Plot Kotlin API enables data visualization in JVM and Kotlin/JS applications as well as in scientific notebooks like Jupyter and Datalore.
Sampling
Sampling is a special technique of data transformation, which helps to deal with large datasets and overplotting. Learn more.
Export to SVG, PDF, HTML and PNG
The ggsave()
function is an easy way to export plot to a file in SVG, PDF, HTML or PNG formats. Learn more.
Interactive Maps
Interactive maps allow zooming and panning around your geospatial data with customizable vector or raster basemaps as a backdrop. Learn more.
‘No Javascript’ and Offline Mode
In the ‘no javascript’ mode Lets-Plot generates plots as bare-bones SVG images. Plots in the notebook with option offline=True
will be working without an Internet connection. Learn more.