np.eye() for identity matrices in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a 3x3 identity matrix using numpy.

NumPy

import numpy as np
matrix = np.[1](3)
print(matrix)

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

Aones

Beye

Czeros

Darray

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.ones() or np.zeros() instead of np.eye()

Forgetting to import numpy as np

The np.eye() function creates an identity matrix of given size.

2fill in blank

medium

Complete the code to create a 4x4 identity matrix with float type values.

NumPy

import numpy as np
matrix = np.eye(4, dtype=[1])
print(matrix)

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

Afloat

Bint

Cstr

Dbool

Attempts:

3 left

💡 Hint

Common Mistakes

Using integer type which will show 1 and 0 without decimals

Using string or boolean types which are not suitable here

The dtype parameter sets the data type of the matrix elements. For decimal numbers, use float.

3fill in blank

hard

Fix the error in the code to create a 5x5 identity matrix with numpy.

NumPy

import numpy as np
matrix = np.eye([1])
print(matrix)

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

A5

Bfive

C'5'

Dnp

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the size as a string instead of an integer

Passing a variable name that is not defined

The size parameter must be an integer without quotes. Using quotes makes it a string, causing an error.

4fill in blank

hard

Fill both blanks to create a 3x5 identity-like matrix with ones on the diagonal.

NumPy

import numpy as np
matrix = np.eye([1], [2])
print(matrix)

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

A3

B4

C5

D6

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping rows and columns

Using equal numbers for both parameters

The first parameter is the number of rows (3), the second is the number of columns (5) for a rectangular identity matrix.

5fill in blank

hard

Fill all three blanks to create a 4x4 identity matrix with ones on the diagonal shifted by 1 above the main diagonal.

NumPy

import numpy as np
matrix = np.eye([1], [2], k=[3])
print(matrix)

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

A4

C1

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using negative k which shifts below the main diagonal

Using different sizes for rows and columns

The first two parameters set the size (4x4). The k=1 shifts the diagonal of ones one position above the main diagonal.