Create a plot with Multiple Glyphs using Python Bokeh

# importing numpy package
import numpy as np 

# importing figure and show from
# bokeh.plotting module
from bokeh.plotting import figure, show

# using numpy package to
# create a list of 5 numbers
x = np.arange(5)

# y is stored with the square 
# of the numbers in x
y = x**2

# z is storing 3 times the value
# of the elements in x
z = x*3

# storing 7 numbers in p between
# 1 to 20 
p = np.linspace(1,20,7)

# storing 7 numbers in q between
# 1 to 10 
q = np.linspace(1, 10, 7)

# storing 5 numbers in r between
# 1 to 30 
r = np.linspace(1, 30, 5)

# creating 31 elements in a list 
a = np.arange(31)

# creating an empty figure with specific plot
# width and height
fig = figure(plot_width = 600 , plot_height = 600)

# plotting the points in the form of 
# circular glyphs
fig.circle(x, y, color = "red", size = 20)

# plotting the points in the form of 
# square glyphs
fig.square(x, z, color = "blue", size = 15, alpha = 0.5)

# plotting the points in the form of 
# hex glyphs
fig.hex(y, z, color = "green", size = 10, alpha = 0.7)

# drawing a line between the plotted points 
fig.line(x, y, color = "green", line_width = 4)

# plotting the points in the form of 
# inverted triangle glyph
fig.inverted_triangle(p, q, color = "yellow", size = 20, alpha = 0.4)

# plotting the points in the form of 
# diamond glyphs
fig.diamond(x, r, color = "purple", size = 16, alpha = 0.8)

# plotting the points in the form of 
# cross glyphs

fig.cross(a, a, size = 14)

# showing the above plot
show(fig)

# importing numpy as np
import numpy as np

# importing figure and show from
# bokeh.plotting
from bokeh.plotting import figure, show

# creating a list of numbers from 0-10
x = np.arange(11)

# Creating square of the numbers and 
# storing it in y
y = np.linspace(1,5,11)

# Creating an array of random values in
# z
z = np.linspace(0,2,11)

# Creating a plot with plot width and height
# as 600
p = figure(plot_height = 600 , plot_width = 600)

# Plotting first line in the form of circle
p.circle(x, y, legend_label = "Circle", size = 30)

# Creating first line in the form of square
p.square(x, y*2, legend_label = "Square", size = 20, color = "green")

# Creating forth line in the form of line
p.inverted_triangle(x, y*3, legend_label = "Inverted Triangle",
                    size = 15, color = "purple")

# Increasing the glyph height
p.legend.glyph_height = 50

# increasing the glyph width
p.legend.glyph_width = 90

# showing the above plot
show(p)

# importing autompg dataset from bokeh.sampledata.autompg
from bokeh.sampledata.autompg import autompg

# importing columndatasource package from
# bokeh.models module
from bokeh.models import ColumnDataSource

# importing figure and show from 
# bokeh.plotting module to plot the figure
from bokeh.plotting import figure, show

# provides data to the glyphs of the plot
source = ColumnDataSource(autompg)

# Creating an empty figure
p = figure(plot_height = 600, plot_width = 600)

# Creating circular glyphs with points plotted from
# columns taken from auto-mpg dataset 
p.circle(x = 'hp', y = 'mpg', size = 20,
         alpha = 0.6, source = autompg , 
         legend_label = "Blue")

# Creating circular glyphs with points plotted from
# columns taken from auto-mpg dataset  with different colors
p.circle(x = 'hp', y = 'displ', size = 20,
         alpha = 0.6, color = "green" , source = autompg,
         legend_label = "Green")

# Adjusting the label height using legend
p.legend.label_height = 50

# Adjusting the label_width using legend
p.legend.label_width = 50

# Adjusting the glyph width using legend
p.legend.glyph_width = 90

# Adjusting the glyph height using legend
p.legend.glyph_height = 90

# Showing the above plot
show(p)