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 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)