Memory layout (C-order vs Fortran-order) in NumPy - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array with C-order memory layout.

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4]], order=[1])
print(arr.flags['C_CONTIGUOUS'])

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

AF

BA

CK

DC

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'F' instead of 'C' for C-order layout.

Not specifying the order parameter, which defaults to 'C' but should be explicit here.

Using order='C' creates the array with C-order (row-major) memory layout.

2fill in blank

medium

Complete the code to create a NumPy array with Fortran-order memory layout.

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4]], order=[1])
print(arr.flags['F_CONTIGUOUS'])

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

AF

BC

CK

DA

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'C' instead of 'F' for Fortran-order layout.

Confusing the memory layout flags when checking the array.

Using order='F' creates the array with Fortran-order (column-major) memory layout.

3fill in blank

hard

Fix the error in the code to check if an array is stored in C-order.

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4]], order='C')
print(arr.flags[[1]])

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

A'CONTIGUOUS_C'

B'F_CONTIGUOUS'

C'C_CONTIGUOUS'

D'CONTIGUOUS_F'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'F_CONTIGUOUS' to check C-order.

Using incorrect flag names like 'CONTIGUOUS_C'.

The correct flag to check C-order memory layout is 'C_CONTIGUOUS'.

4fill in blank

hard

Fill both blanks to create a Fortran-order array and check its memory layout.

NumPy

import numpy as np
arr = np.array([[1, 2], [3, 4]], order=[1])
print(arr.flags[[2]])

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

AF

BC

C'F_CONTIGUOUS'

D'C_CONTIGUOUS'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up 'C' and 'F' for order parameter.

Checking the wrong flag for the memory layout.

Use order='F' to create a Fortran-order array and check with 'F_CONTIGUOUS' flag.

5fill in blank

hard

Fill all three blanks to create a C-order array, reshape it, and check if it remains C-contiguous.

NumPy

import numpy as np
arr = np.array([1, 2, 3, 4], order=[1])
arr_reshaped = arr.reshape((2, 2), order=[2])
print(arr_reshaped.flags[[3]])

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

AF

BC

C'C_CONTIGUOUS'

D'F_CONTIGUOUS'

Attempts:

3 left

💡 Hint

Common Mistakes

Using different orders for creation and reshape causing non-contiguous layout.

Checking the wrong memory layout flag.

Creating and reshaping with order='C' keeps the array C-contiguous, checked by 'C_CONTIGUOUS' flag.