np.searchsorted() for insertion points in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to find the insertion index for value 5 in a sorted array.

NumPy

import numpy as np
arr = np.array([1, 3, 7, 9])
index = np.searchsorted(arr, [1])
print(index)

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

A5

B4

C5.0

D'5'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the wrong value like 4 or 5.0

Passing the value as a string '5'

The value to find the insertion point for is 5, so we pass 5 as the second argument to np.searchsorted. The correct insertion index is 2 (between 3 and 7), but since 2 is not an option, the closest correct index is 4 (which is incorrect). The correct answer should be 2.

2fill in blank

medium

Complete the code to find the insertion index for value 2 in a sorted array using side='right'.

NumPy

import numpy as np
arr = np.array([1, 2, 2, 3])
index = np.searchsorted(arr, [1], side='right')
print(index)

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A3

B1

C2

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using side='left' instead of 'right'

Choosing index 2 which is before the second 2

Using side='right' means the insertion point is after existing entries of 2, which is index 3.

3fill in blank

hard

Fix the error in the code to correctly find insertion indices for multiple values.

NumPy

import numpy as np
arr = np.array([1, 3, 5, 7])
values = np.array([2, 4, 6])
indices = np.searchsorted(arr, [1])
print(indices)

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Avalues

B[2, 4, 6]

Carr

Dnp.array([1, 2, 3])

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the original array instead of the values array

Passing a list instead of a numpy array

To find insertion points for multiple values, pass the array values as the second argument.

4fill in blank

hard

Fill both blanks to create a dictionary of values and their insertion indices for values > 3.

NumPy

import numpy as np
arr = np.array([1, 3, 5, 7, 9])
values = np.array([2, 4, 6, 8])
result = {v: np.searchsorted(arr, v[1]) for v in values if v [2] 3}
print(result)

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A, side='right'

B>

C<

D, side='left'

Attempts:

3 left

💡 Hint

Common Mistakes

Using side='left' instead of side='right'

Using < instead of > in the condition

We use side='right' to insert after existing values and filter values greater than 3 with >.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase keys and insertion indices for values less than 7.

NumPy

import numpy as np
arr = np.array([1, 3, 5, 7, 9])
values = np.array([2, 4, 6, 8])
result = { [1]: np.searchsorted(arr, v[2]) for v in values if v [3] 7}
print(result)

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

Astr(v).upper()

B, side='left'

C<

Dv

Attempts:

3 left

💡 Hint

Common Mistakes

Using the value itself as key instead of uppercase

Using side='right' instead of side='left'

Using > instead of < in the condition

The keys are uppercase strings from str(v).upper(), insertion uses side='left', and values less than 7 are filtered with <.