transform_markers

A scatter plot using the Palmer penguin dataset. This example demonstrates color and marker mapping with basic plot elements. The chart shows correlation between body mass and flipper length for three different penguin species.

Details

Sampledata:

bokeh.sampledata.penguins

Bokeh APIs:

figure.scatter, bokeh.transform.linear_cmap, bokeh.transform.factor_mark

More info:

Scatter markers, Transforming data

Keywords:

alpha, colormap, markermap, scatter

from bokeh.plotting import figure, show
from bokeh.sampledata.penguins import data
from bokeh.transform import factor_cmap, factor_mark

SPECIES = sorted(data.species.unique())
MARKERS = ['hex', 'circle_x', 'triangle']

p = figure(title = "Penguin size", background_fill_color="#fafafa")
p.xaxis.axis_label = 'Flipper Length (mm)'
p.yaxis.axis_label = 'Body Mass (g)'

p.scatter("flipper_length_mm", "body_mass_g", source=data,
          legend_group="species", fill_alpha=0.4, size=12,
          marker=factor_mark('species', MARKERS, SPECIES),
          color=factor_cmap('species', 'Category10_3', SPECIES))

p.legend.location = "top_left"
p.legend.title = "Species"

show(p)