np.argmin() and np.argmax() in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to find the index of the smallest value in the array.

NumPy

import numpy as np
arr = np.array([3, 1, 4, 1, 5])
index_min = np.[1](arr)
print(index_min)

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

Amin

Bargmax

Cargmin

Dmax

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.min() which returns the minimum value, not the index.

Using np.argmax() which finds the index of the maximum value.

The np.argmin() function returns the index of the smallest value in the array.

2fill in blank

medium

Complete the code to find the index of the largest value in the array.

NumPy

import numpy as np
arr = np.array([10, 20, 30, 20, 10])
index_max = np.[1](arr)
print(index_max)

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Aargmax

Bargmin

Cmin

Dmax

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.max() which returns the maximum value, not the index.

Using np.argmin() which finds the index of the minimum value.

The np.argmax() function returns the index of the largest value in the array.

3fill in blank

hard

Fix the error in the code to correctly find the index of the smallest value.

NumPy

import numpy as np
arr = np.array([7, 2, 5, 3])
index = np.argmin[1](arr)
print(index)

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A<

B(

C{

D[

Attempts:

3 left

💡 Hint

Common Mistakes

Using square brackets instead of parentheses for function calls.

Missing the opening parenthesis.

The function call must use parentheses () to pass the array as an argument.

4fill in blank

hard

Fill both blanks to create a dictionary of indices of min and max values from the array.

NumPy

import numpy as np
arr = np.array([8, 6, 7, 5, 3, 0, 9])
result = {'min_index': np.[1](arr), 'max_index': np.[2](arr)}
print(result)

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Aargmin

Bmin

Cargmax

Dmax

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.min() or np.max() which return values, not indices.

Mixing up argmin and argmax.

np.argmin() and np.argmax() return the indices of the smallest and largest values respectively.

5fill in blank

hard

Fill both blanks to create a dictionary with keys as uppercase words and values as their indices if the index is greater than 2.

NumPy

words = ['apple', 'banana', 'cherry', 'date', 'fig']
result = {word[1]: i for i, word in enumerate(words) if i [2] 2}
print(result)

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A.upper()

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to call the upper() method with parentheses.

Using the wrong comparison operator in the if condition.

Trying to modify the index value unnecessarily.

The dictionary comprehension uses word.upper() as the key, the index i as the value, and filters indices greater than 2.