np.zeros() for zero-filled arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a zero-filled array of length 5.

NumPy

import numpy as np
arr = np.[1](5)
print(arr)

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

Azeros

Bones

Cempty

Dfull

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.ones() which creates an array filled with ones.

Using np.empty() which creates an uninitialized array with random values.

The np.zeros() function creates an array filled with zeros. Here, it creates an array of length 5 filled with zeros.

2fill in blank

medium

Complete the code to create a 2x3 zero-filled array.

NumPy

import numpy as np
arr = np.zeros([1])
print(arr)

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A(2, 3)

B[3, 2]

C(3, 2)

D[2, 3]

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping the dimensions, creating 3 rows and 2 columns instead.

Using a tuple with wrong order.

The shape argument for np.zeros() is a tuple or list indicating the dimensions. Here, [2, 3] creates 2 rows and 3 columns.

3fill in blank

hard

Fix the error in the code to create a zero-filled array of shape (4, 4).

NumPy

import numpy as np
arr = np.zeros([1])
print(arr)

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A[4, 4]

B(4, 4)

C{4, 4}

D4, 4

Attempts:

3 left

💡 Hint

Common Mistakes

Passing two separate arguments instead of one tuple.

Using square or curly brackets which are invalid here.

The shape argument must be a single tuple. So np.zeros((4, 4)) is correct. Using separate arguments or other brackets causes errors.

4fill in blank

hard

Fill both blanks to create a zero-filled array of integers with shape (3, 2).

NumPy

import numpy as np
arr = np.zeros([1], dtype=[2])
print(arr)

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A(3, 2)

Bint

Cfloat

D[3, 2]

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a tuple for shape.

Using float instead of int for dtype.

The shape must be a tuple like (3, 2). The dtype argument sets the data type; int makes the array hold integers.

5fill in blank

hard

Fill all three blanks to create a zero-filled 3D array with shape (2, 3, 4) and float data type.

NumPy

import numpy as np
arr = np.zeros([1], dtype=[2], order=[3])
print(arr.shape, arr.dtype)

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A(2, 3, 4)

Bfloat

C'C'

D'F'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong shape dimensions or wrong brackets.

Using int instead of float for dtype.

Using 'F' order without understanding memory layout.

The shape is a tuple with three dimensions: (2, 3, 4). The dtype is float for floating-point zeros. The order 'C' means row-major order, which is common.