from bokeh.layouts import row
from bokeh.plotting import figure, show, output_file
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
