Array shapes and dimensions in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a 2D NumPy array with shape (3, 2).

Data Analysis Python

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

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

A.size

B.dtype

C.ndim

D.shape

Attempts:

3 left

💡 Hint

Common Mistakes

Using .size instead of .shape returns total elements, not dimensions.

Using .ndim returns number of dimensions, not the shape tuple.

The .shape attribute shows the dimensions of the array. Here, it will print (3, 2).

2fill in blank

medium

Complete the code to find the number of dimensions of the array.

Data Analysis Python

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

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

A.shape

B.ndim

C.size

D.dtype

Attempts:

3 left

💡 Hint

Common Mistakes

Using .shape returns the shape tuple, not the number of dimensions.

Using .size returns total elements, not dimensions.

The .ndim attribute returns the number of dimensions of the array. Here, it will print 1 because the array is one-dimensional.

3fill in blank

hard

Fix the error in the code to reshape the array to 2 rows and 3 columns.

Data Analysis Python

import numpy as np
arr = np.arange(6)
reshaped = arr[1]((2, 3))
print(reshaped)

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A.reshape

B.resize

C.reshape()

D.shape

Attempts:

3 left

💡 Hint

Common Mistakes

Using .reshape() with extra parentheses causes syntax errors.

Using .resize modifies the array in place and can cause unexpected results.

The .reshape method reshapes the array to the given shape. It must be called without parentheses after the method name in the code before passing the new shape.

4fill in blank

hard

Fill both blanks to create a 3D array with shape (2, 2, 2) and print its number of dimensions.

Data Analysis Python

import numpy as np
arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
print(arr[1])
print(arr[2])

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

A.shape

B.size

C.ndim

D.dtype

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up .size and .ndim attributes.

Using .dtype instead of shape or ndim.

The first print shows the shape (2, 2, 2). The second print shows the number of dimensions, which is 3.

5fill in blank

hard

Complete the code to create a dictionary with word lengths for words longer than 3 characters.

Data Analysis Python

words = ['data', 'science', 'is', 'fun']
lengths = {word: len(word) for word in words if len(word) [1] 3}
print(lengths)

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

A:

B>

C)

D]

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma instead of colon in dictionary comprehension.

Using < or == instead of > in the condition.

Missing closing parenthesis in print.

The dictionary comprehension uses : to map words to their lengths. The condition uses > to filter words longer than 3 characters. The print statement closes with ).