Decorations

North arrows, scale bars, borders, graticules and legends are on by default and shared across plot(), choropleth(), relief() and study_area(). Each accepts a bool, a style name, or a dict for full control.

import acadgis as agis

gdf = agis.load_boundaries("Bangladesh", "district")
agis.plot(
    gdf,
    north_arrow={"style": "rose", "size": 0.13, "loc": (0.9, 0.85)},
    scale_bar={"style": "stepped", "length_km": 100, "units": "km"},
    border={"style": "checker"},
    graticule=True,
    legend=True,
)

North arrows

Four styles, all aspect-corrected so they never stretch on tall or wide maps:

classic · minimal · pointer · rose

agis.plot(gdf, north_arrow="rose")
agis.plot(gdf, north_arrow={"style": "minimal", "size": 0.1, "loc": (0.92, 0.9)})
agis.plot(gdf, north_arrow=False)   # turn it off

Scale bars

simple · bar · stepped, in kilometres or miles:

agis.plot(gdf, scale_bar={"style": "stepped", "length_km": 50, "units": "km"})
agis.plot(gdf, scale_bar={"style": "bar", "units": "mi"})

Borders

solid · checker (zebra) · none:

agis.plot(gdf, border="checker")

Graticule

Latitude/longitude grid with an optional interval in degrees:

agis.plot(gdf, graticule=True)
agis.plot(gdf, graticule={"interval": 0.5})

Everything together

agis.plot(
    gdf, palette="spectral", title="Bangladesh — Districts",
    north_arrow="rose", scale_bar="stepped",
    border="checker", graticule=True, legend=True,
)

Per-panel control in study-area figures

In study_area() every decoration argument also accepts a list — one value per panel — so you can, for example, turn the grid off on just the focus map.