API reference

Plotting utilities

create_colorbar_axes(ax, *[, location, ...])	Create an axes suitable for a colorbar next to a given axes.
legend_patches(colors, labels, *[, ...])	Create legend handles for categorical data.
add_gridlines(ax, lines, *[, color, ...])	Add gridlines to a map axes.
add_ticks(ax, ticks, *[, formatter, ...])	Add tick labels to a map axes and return a Gridliner object for further styling.
plot_world(bounds[, bounds_projection])	Plot a world map with specified bounding box highlighted.

Plotting functions

Plotting rasters

plot_raster(m, *[, ax, bins, norm, vmin, ...])	Plot a 2D scalar or 3D RGB(A) raster.
plot_classified_raster(m, *[, levels, ...])	Plot a 2D raster with discrete classes.

Plotting shapes

plot_shapes([df, lat, lon, values, s, bins, ...])	Plot shapes with continuous numeric values (scalar choropleth).
plot_classified_shapes([df, lat, lon, ...])	Plot discrete-class shapes (choropleth style).

Integrated plotting functions

Rioxarray

da_plot_raster(self, *[, ax, cartopy])	Plot raster data from a DataArray using Matplotlib or Cartopy.
da_plot_classified_raster(self, *[, ax, cartopy])	Plot classified raster data from a DataArray using Matplotlib or Cartopy.
da_plot_world(self)	Plot the bounding box of a DataArray on a world map.

Geopandas

gpd_plot_shapes(self, *[, ax, cartopy])	Plot geometries from a GeoDataFrame or GeoSeries using Matplotlib or Cartopy.
gpd_plot_classified_shapes(self, *[, ax, ...])	Plot classified geometries from a GeoDataFrame or GeoSeries using Matplotlib or Cartopy.
gpd_plot_world(self)	Plots the outer bounds of a GeoDataFrame on a world map.