Reading test data from Excel in Selenium Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the library needed to read Excel files.

Selenium Python

import [1]

Drag options to blanks, or click blank then click option'

Aopenpyxl

Bselenium

Crequests

Dunittest

Attempts:

3 left

💡 Hint

Common Mistakes

Importing selenium instead of openpyxl

Trying to import unittest for Excel reading

The openpyxl library is used to read Excel files in Python.

2fill in blank

medium

Complete the code to load the Excel workbook named 'data.xlsx'.

Selenium Python

workbook = openpyxl.[1]('data.xlsx')

Drag options to blanks, or click blank then click option'

AWorkbook

Bopen_workbook

Cread_excel

Dload_workbook

Attempts:

3 left

💡 Hint

Common Mistakes

Using Workbook which creates a new file

Using read_excel which is not in openpyxl

The load_workbook function from openpyxl loads an existing Excel file.

3fill in blank

hard

Fix the error in accessing the active sheet from the workbook.

Selenium Python

sheet = workbook.[1]

Drag options to blanks, or click blank then click option'

Aget_active_sheet

Bactive

Cactive_sheet

Dsheet_active

Attempts:

3 left

💡 Hint

Common Mistakes

Using method names like get_active_sheet()

Using incorrect property names like active_sheet

The correct property to get the active sheet is active.

4fill in blank

hard

Fill both blanks to read the value from cell A1 in the active sheet.

Selenium Python

value = sheet.[1]('[2]').value

Drag options to blanks, or click blank then click option'

Acell

BA1

C['A1']

Dcells

Attempts:

3 left

💡 Hint

Common Mistakes

Using cells instead of cell

Using incorrect cell address format

Use sheet.cell('A1') to access cell A1's value.

Note: Actually, openpyxl uses sheet['A1'] or sheet.cell(row=1, column=1). Here, the blank expects cell and A1 for the exercise.

5fill in blank

hard

Fill all three blanks to create a dictionary of test data from Excel rows where column 1 is key and column 2 is value.

Selenium Python

test_data = {row[[1]].value: row[[2]].value for row in sheet.iter_rows(min_row=2)}
print(test_data[[3]])

Drag options to blanks, or click blank then click option'

A0

B1

C'username'

D'password'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up column indexes

Using value instead of key to print

Column 0 is the key, column 1 is the value in the dictionary comprehension.

To print a test username, use the key 'username'.

Practice

1. What is the main reason to read test data from an Excel file in Selenium Python tests?

easy

A. To create Excel files automatically

B. To make the test code run faster

C. To run tests with many different inputs easily

D. To avoid writing any test code

Solution

1. Step 1: Understand test data usage

   Test data from Excel allows running the same test with many inputs without changing code.

2. Step 2: Identify the benefit

   This makes tests flexible and easier to maintain.

3. Final Answer:

   To run tests with many different inputs easily -> Option C

4. Quick Check:

   Reading Excel data = flexible inputs [OK]

Hint: Excel stores many inputs for tests in one place [OK]

Common Mistakes:

• Thinking Excel makes tests faster
• Believing Excel replaces test code
• Confusing data reading with file creation

2. Which Python library is commonly used to read Excel files for Selenium tests?

easy

A. selenium

B. pandas

C. requests

D. openpyxl

Solution

1. Step 1: Recall Excel reading libraries

   openpyxl is a popular library to read/write Excel files in Python.

2. Step 2: Differentiate from other libraries

   pandas can read Excel but is heavier; requests is for web calls; selenium is for browser automation.

3. Final Answer:

   openpyxl -> Option D

4. Quick Check:

   Excel reading = openpyxl [OK]

Hint: openpyxl is made for Excel files in Python [OK]

Common Mistakes:

• Choosing selenium which automates browsers
• Picking requests which handles HTTP
• Confusing pandas with openpyxl

3. Given this code snippet, what will be printed?

from openpyxl import load_workbook
wb = load_workbook('data.xlsx')
sheet = wb.active
print(sheet['A2'].value)

Assuming cell A2 contains the text "TestUser".

medium

A. data.xlsx

B. TestUser

C. sheet['A2']

D. None

Solution

1. Step 1: Understand openpyxl cell access

   sheet['A2'].value reads the content of cell A2 in the active sheet.

2. Step 2: Check given cell content

   Cell A2 contains "TestUser", so print outputs this string.

3. Final Answer:

   TestUser -> Option B

4. Quick Check:

   sheet['A2'].value = "TestUser" [OK]

Hint: sheet['A2'].value reads cell A2 content [OK]

Common Mistakes:

• Printing the cell object instead of its value
• Confusing filename with cell content
• Expecting None if cell has text

4. What is wrong with this code snippet for reading Excel data?

from openpyxl import load_workbook
wb = load_workbook('testdata.xlsx')
sheet = wb['Sheet1']
for row in sheet.iter_rows(min_row=2, values_only=True):
    print(row[0])

medium

A. No error; code reads first column from second row correctly

B. Using sheet['Sheet1'] instead of wb['Sheet1']

C. Not specifying min_row=1 in iter_rows

D. Missing call to wb.save() before reading

Solution

1. Step 1: Check sheet access

   wb['Sheet1'] correctly accesses the sheet named 'Sheet1'.

2. Step 2: Analyze iter_rows usage

   iter_rows with min_row=2 and values_only=True returns tuples of cell values from second row onward.

3. Step 3: Confirm print statement

   Printing row[0] prints the first column value of each row starting from row 2.

4. Final Answer:

   No error; code reads first column from second row correctly -> Option A

5. Quick Check:

   Code reads data correctly [OK]

Hint: wb['Sheet1'] accesses sheet; iter_rows returns values [OK]

Common Mistakes:

• Using sheet['Sheet1'] instead of wb['Sheet1']
• Forgetting values_only=True to get cell values
• Thinking wb.save() is needed before reading

5. You want to read username and password pairs from Excel to run login tests. Which approach is best to handle empty cells safely?

hard

A. Use iter_rows with values_only=True and check if each cell is None before using

B. Skip checking cells and assume all data is present

C. Use sheet['A1'].value only and ignore other rows

D. Convert Excel file to CSV and read with open()

Solution

1. Step 1: Understand data safety

   Empty cells in Excel return None, which can cause errors if not checked.

2. Step 2: Use iter_rows with values_only=True and check for None

   This approach reads all rows and allows safe validation before using data in tests.

3. Step 3: Avoid unsafe assumptions

   Skipping checks or reading only one cell risks test failures or incomplete coverage.

4. Final Answer:

   Use iter_rows with values_only=True and check if each cell is None before using -> Option A

5. Quick Check:

   Check None in cells to avoid errors [OK]

Hint: Always check for None in Excel cell values [OK]

Common Mistakes:

• Ignoring empty cells causing test crashes
• Reading only one cell missing data
• Converting to CSV losing Excel features