Controlling copy behavior in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a copy of the NumPy array 'a'.

NumPy

import numpy as np

a = np.array([1, 2, 3])
b = a.[1]()

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

Acopy

Bview

Creshape

Dflatten

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'view()' instead of 'copy()' which does not create a full copy.

Using 'reshape()' or 'flatten()' which change shape but not copy behavior.

Using copy() creates a new array independent of the original.

2fill in blank

medium

Complete the code to create a view of the NumPy array 'a'.

NumPy

import numpy as np

a = np.array([4, 5, 6])
b = a.[1]()

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

Aflatten

Bcopy

Cview

Dtranspose

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'copy()' which creates a full independent copy.

Using 'flatten()' or 'transpose()' which change shape or axes.

Using view() creates a new array object that looks at the same data.

3fill in blank

hard

Fix the error in the code to create a copy of the array slice.

NumPy

import numpy as np

a = np.array([7, 8, 9, 10])
slice_a = a[1:3]
slice_copy = slice_a.[1]()

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

Acopy

Breshape

Cview

Dflatten

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'view()' which still references original data.

Using 'reshape()' or 'flatten()' which do not copy data.

To avoid referencing the original data, use copy() on the slice.

4fill in blank

hard

Fill both blanks to create a view and then modify it without affecting the original array.

NumPy

import numpy as np

a = np.array([10, 20, 30, 40])
view_a = a.[1]()
copy_a = view_a.[2]()
copy_a[0] = 99

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

Aview

Bcopy

Cflatten

Dreshape

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'copy()' for the first blank which creates a copy, not a view.

Using 'view()' for the second blank which does not create an independent copy.

First create a view with view(), then a copy with copy() to modify safely.

5fill in blank

hard

Fill all three blanks to create a copy of a reshaped array slice.

NumPy

import numpy as np

a = np.arange(12)
slice_a = a[2:10]
reshaped = slice_a.[1]((2, 4))
copy_reshaped = reshaped.[2]()
copy_reshaped[0, 0] = [3]

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

Areshape

Bcopy

C100

Dview

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'view' instead of 'copy' which modifies original data.

Not reshaping before copying.

Assigning a value that is not an integer.

First reshape the slice, then copy it, then modify the copy safely.