np.full() for custom-filled arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a 3x3 array filled with the number 7 using np.full().

NumPy

import numpy as np
array = np.full((3, 3), [1])
print(array)

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

A0

B3

C7

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using the shape as the fill value.

Confusing the order of arguments.

The np.full() function creates an array of the given shape filled with the specified value. Here, we want to fill the array with 7.

2fill in blank

medium

Complete the code to create a 2x4 array filled with the string 'hi' using np.full().

NumPy

import numpy as np
array = np.full((2, 4), [1], dtype=str)
print(array)

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

A'bye'

B'hi'

C'hello'

D'test'

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting quotes around the string.

Not specifying dtype for string arrays.

To fill the array with the string 'hi', pass it as the fill value to np.full(). The dtype=str ensures the array holds strings.

3fill in blank

hard

Fix the error in the code to create a 4x2 array filled with 0.5 using np.full().

NumPy

import numpy as np
array = np.full([1], 0.5)
print(array)

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A(4, 2)

B[4, 2]

C4, 2

D{4, 2}

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a tuple for shape.

Using curly braces which create a set.

The shape argument must be a tuple, so use parentheses (4, 2). Lists or other types cause errors.

4fill in blank

hard

Fill both blanks to create a 3x3 array filled with the integer 9 and print its data type.

NumPy

import numpy as np
array = np.full([1], [2], dtype=int)
print(array.dtype)

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A(3, 3)

B9

C3

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Using a single number instead of a tuple for shape.

Using a string instead of an integer for fill value.

The first blank is the shape tuple (3, 3). The second blank is the fill value 9. The dtype is set to int to store integers.

5fill in blank

hard

Fill all three blanks to create a 2x5 array filled with 3.14, specify float type, and print the array shape.

NumPy

import numpy as np
array = np.full([1], [2], dtype=[3])
print(array.shape)

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

A(2, 5)

B3.14

Cfloat

Dint

Attempts:

3 left

💡 Hint

Common Mistakes

Using integer dtype for decimal fill values.

Using incorrect shape format.

The shape is (2, 5), the fill value is 3.14, and the dtype is float to store decimal numbers.