# Python Code Goes Here ...
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
year_1 = [2016, 2017, 2018, 2019, 2020, 2021]
population_1 = [42, 43, 45, 47, 48, 50]
year_2 = [2016, 2017, 2018, 2019, 2020, 2021]
population_2 = [43, 43, 44, 44, 45, 45]
plt.plot(year_1, population_1, marker='o', linestyle='--', color='g', label='Country 1')
plt.plot(year_2, population_2, marker='d', linestyle='-', color='r', label='Country 2')
plt.xlabel('Year')
plt.ylabel('Population (M)')
plt.title('Year vs Population')
plt.legend(loc='lower right')
fig
# Importing the required modules
import numpy as np
import matplotlib.pyplot as plt
# Generating data for the heat map
data = np.random.random(( 12 , 12 ))
fig, ax = plt.subplots()
# Function to show the heat map
plt.imshow( data , cmap = 'magma' )
# Adding details to the plot
plt.title( "2-D Heat Map" )
plt.xlabel('x-axis')
plt.ylabel('y-axis')
# Adding a color bar to the plot
plt.colorbar()
# Displaying the plot
#plt.show()
fig