marker_map.py

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

Plotting with basic glyphs > Scatter markers, Providing data > 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)