Page 11 - IPP-12-2025
P. 11
SECTION D (2 x 4 = 8 Marks)
33. Manish, a researcher, is analyzing air quality index (AQI) data over 6 months for a city. The AQI data is
as follows: [4]
Months AQI
January 120
February 110
March 130
April 100
May 95
June 90
Help Manish to complete the following Python code to generate the line chart:
import as plt # Statement 1
months = ['January', 'February', 'March', 'April', 'May', 'June']
aqi = [120, 110, 130, 100, 95, 90]
plt.plot(months, ,color='green’, marker='s',label='AQI') # Statement 2
plt.xlabel('Months')
plt.ylabel(' ') # Statement 3
plt.legend()
plt.title(' ') # Statement 4
plt.show()
(a) Write a suitable code for the import statement in the blank space against Statement 1.
(b) Refer to the graph and fill in the blank against Statement 2 with a suitable Python code.
(c) Fill in the blank against Statement 3 with a suitable label for the y-axis.
(d) Refer to the graph and fill in the blank against Statement 4 with a suitable Chart Title.
Ans. (a) import matplotlib.pyplot as plt
(b) plt.plot(months, aqi, color='green', marker='s', label='AQI')
(c) plt.ylabel('Air Quality Index (AQI)')
(d) plt.title('Monthly AQI Levels')
M.8 Informatics Practices with Python–XII