Maps¶
Create beautiful maps just by adding an interactive basemap layer to your plot: geom_livemap()
.
Proportional Symbol Map¶
Choropleth Map¶
Combine Layers on Map ggplot2
Style¶
Quickstart¶
Primitives¶
point
,
pie
,
path
,
tiles
,
polygon
,
map
,
horizontal line
,
vertical line
,
rectangle
,
segment
,
text
,
label
.
Contours¶
Bivariate Distribution¶
GeoPandas Shapes¶
GeoPandas GeoDataFrame
is supported by the following geometry layers: polygon
, map
, point
, pie
, text
, path
, rect
.
Learn more: GeoPandas Support.
Use a Basemap That is Right for You
¶
Use quality Lets-Plot vector basemaps or choose among many raster map tiles available through 3rd party providers.
Learn more: Configuring Basemap Tiles for Interactive Maps.
PyCharm¶
Create maps in PyCharm with the help of Lets-Plot in SciView plugin.

Examples¶
Key Features¶
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, HTML and PNG
The ggsave()
function is an easy way to export plot to a file in SVG, 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.