plotnine.geom_count

geom_count(mapping=None, data=None, **kwargs)

Plot overlapping points

{usage}

This is a variant geom_point that counts the number of observations at each location, then maps the count to point area. It useful when you have discrete data and overplotting.

See Also

stat_sum

The default stat for this geom.

Examples


from plotnine import ggplot, aes, geom_count, scale_size_continuous
from plotnine.data import diamonds

Categorized Data Plot

geom_count() makes the point size proportional to the number of points at a location

diamonds.head()
carat cut color clarity depth table price x y z
0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43
1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31
2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31
3 0.29 Premium I VS2 62.4 58.0 334 4.20 4.23 2.63
4 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75 
(
    ggplot(diamonds)
    + geom_count(aes(x="cut", y="color"))
)

We can adjust the size range of the points with scale_size_continuous

(
    ggplot(diamonds)
    + geom_count(aes(x="cut", y="color"))
    + scale_size_continuous(range=[1, 20])
)

Source: Categorized Data Plot