import numpy as np
from bokeh.plotting import figure, show, output_file
from bokeh.models import Slope
output_file("slope.html", title="slope.py example")
# linear equation parameters
gradient = 2
y_intercept = 10
# create random data
xpts = np.arange(0, 20)
ypts = gradient * xpts + y_intercept + np.random.normal(0, 4, 20)
p = figure(plot_width=450, plot_height=450, y_range=(0, 1.1 * max(ypts)))
p.circle(xpts, ypts, size=5, color="skyblue")
slope = Slope(gradient=gradient, y_intercept=y_intercept,
line_color='orange', line_dash='dashed', line_width=3.5)
p.add_layout(slope)
p.yaxis.axis_label = 'y'
p.xaxis.axis_label = 'x'
show(p)
