Page 33 - IPP-12-2025

import as plt #Statement 1
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May']
rainfall = [80, 70, 60, 50, 30]
plt.plot(months, , marker='o') #Statement 2
plt.xlabel(' ') #Statement 3
plt.ylabel('Rainfall (mm)')
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 x-axis.
(d) Refer to the graph and fill in the blank against Statement 4 with a suitable Chart Title.
34. An Electronics Mart maintains a database to track its purchase. The database includes a table named
PURCHASE with the following attributes: [4]
P_ID: Shows the unique identifier for each purchase
BRAND: Indicates the brand name of the purchased item
ITEM: Specifies the name of the item purchased
DATE: Indicates the date when the purchase was made
AMOUNT: Lists the amount of the purchased product
QTY: Lists the quantity of the items purchased
Table: PURCHASE

P_ID BRAND ITEM DATE AMOUNT QTY
P01 Dell Laptop 2025-01-10 70000 5
P02 Samsung Tablet 2025-02-15 35000 10
P03 Epson Printer 2025-03-05 18000 3
P04 Sony Monitor 2025-04-10 45000 7
(a) Write an SQL query to display the total amount of the items purchased before 2025-04-01.
(b) Write an SQL query to display the brands of Monitor and Printer.
(c) Write an SQL query to display the names and brands of items with minimum amount.
(d) Write an SQL query to display the Total_Amount of the items purchased (Total Amount = Amount*Qty)
Or
An organization maintains a database of employees. The database includes a table named STAFF with the
following attributes:
SID: Shows the unique identifier for each staff member.
NAME: Indicates name of the staff members.
DEPT: Specifies department of the staff members.
SALARY: Indicates monthly salary of the staff members.
Table: STAFF

SID NAME DEPT SALARY
S01 Meher Sharma HR 55000
S02 Rohit Kapoor IT 72000
S03 Anita Verma Finance 62000
S04 Shreya Sharma Sales 45000
S05 Tvisha Mehta HR 67000
S06 Mohit Chawla Finance 85000

P.6 Informatics Practices with Python–XII