from bokeh.layouts import row from bokeh.plotting import figure, output_file, show factors = ["a", "b", "c", "d", "e", "f", "g", "h"] x = [50, 40, 65, 10, 25, 37, 80, 60] dot = figure(title="Categorical Dot Plot", tools="", toolbar_location=None, y_range=factors, x_range=[0,100]) dot.segment(0, factors, x, factors, line_width=2, line_color="green", ) dot.circle(x, factors, size=15, fill_color="orange", line_color="green", line_width=3, ) factors = ["foo 123", "bar:0.2", "baz-10"] x = ["foo 123", "foo 123", "foo 123", "bar:0.2", "bar:0.2", "bar:0.2", "baz-10", "baz-10", "baz-10"] y = ["foo 123", "bar:0.2", "baz-10", "foo 123", "bar:0.2", "baz-10", "foo 123", "bar:0.2", "baz-10"] colors = [ "#0B486B", "#79BD9A", "#CFF09E", "#79BD9A", "#0B486B", "#79BD9A", "#CFF09E", "#79BD9A", "#0B486B" ] hm = figure(title="Categorical Heatmap", tools="hover", toolbar_location=None, x_range=factors, y_range=factors) hm.rect(x, y, color=colors, width=1, height=1) output_file("categorical.html", title="categorical.py example") show(row(hm, dot, sizing_mode="scale_width")) # open a browser