from bokeh.plotting import figure, show, output_notebook
from bokeh.layouts import gridplot
import numpy as np
output_notebook()

x = np.linspace(0, 10, 100)
y = np.sin(x)

p1 = figure(title="Basic Line Plot", x_axis_label='x', y_axis_label='y')
p1.line(x, y, legend_label="sin(x)", line_width=2)

show(p1)

x2 = np.linspace(0, 10, 100)
y2a = np.sin(x2)
y2b = np.cos(x2)

p2 = figure(title="Multiple Line Plot", x_axis_label='x', y_axis_label='values')
p2.line(x2, y2a, legend_label='sin(x)', line_color="blue")
p2.line(x2, y2b, legend_label='cos(x)', line_color="green")

show(p2)

np.random.seed(42)
x3 = np.random.rand(100)
y3 = np.random.rand(100)

p3 = figure(title="Scatter Plot")
p3.scatter(x3, y3, size=8, color="navy", alpha=0.5)

show(p3)

fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Blueberries']
counts = [5, 3, 4, 2, 4, 6]

p4 = figure(x_range=fruits, title="Fruit Counts")
p4.vbar(x=fruits, top=counts, width=0.9)

show(p4)

layout = gridplot([[p1, p2], [p3, p4]])
show(layout)

from bokeh.plotting import figure, show, output_notebook
from bokeh.layouts import gridplot
import numpy as np
output_notebook()

x = np.linspace(0, 10, 100)
y = np.sin(x)