Point density¶
Price against floor area of 600 homes, each point colored by how many neighbours it
has. geom_pointdensity follows R's ggpointdensity.
import polars as pl
from ggrust import *
DATA = "https://raw.githubusercontent.com/datavil/ggrust/main/docs/data/"
homes = pl.read_csv(DATA + "homes.csv")
plot = (
ggplot(homes, aes("area_m2", "price_k"))
+ geom_pointdensity(size=2, adjust=4)
+ scale_color_viridis()
+ labs(x="floor area (m²)", y="price (k)", color="neighbours")
+ theme_light()
+ ggsize(800, 550)
)
plot