np.random.rand() and random arrays in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a 1D array of 5 random numbers between 0 and 1 using numpy.

NumPy

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

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

Arandom

Brandint

Crand

Drandn

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.random.randint which generates integers, not floats.

Using np.random.randn which generates numbers from a normal distribution.

The np.random.rand() function generates random numbers between 0 and 1. Here, rand(5) creates an array of 5 such numbers.

2fill in blank

medium

Complete the code to create a 2D array with 3 rows and 4 columns of random numbers between 0 and 1.

NumPy

import numpy as np
array_2d = np.random.[1](3, 4)
print(array_2d)

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Arand

Brandint

Crandom_sample

Drandn

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a tuple instead of separate arguments to rand.

Using randint which generates integers.

np.random.rand(3, 4) creates a 2D array with 3 rows and 4 columns filled with random floats between 0 and 1.

3fill in blank

hard

Fix the error in the code to generate a 1D array of 10 random floats between 0 and 1.

NumPy

import numpy as np
random_numbers = np.random.rand([1])
print(random_numbers)

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A[10]

B10

C(10,)

Drange(10)

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list or tuple instead of an integer.

Using range(10) which is not accepted.

The np.random.rand() function expects dimensions as separate integer arguments, not a list or tuple. So, rand(10) creates a 1D array of length 10.

4fill in blank

hard

Fill both blanks to create a dictionary where keys are numbers 1 to 5 and values are their random floats between 0 and 1.

NumPy

import numpy as np
random_dict = {i: np.random.[1]() for i in range(1, [2])}
print(random_dict)

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Arand

Brandint

C6

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint which generates integers.

Using 5 as the stop value, which excludes 5 in range.

np.random.rand() generates a random float between 0 and 1. The range goes up to 6 to include numbers 1 through 5.

5fill in blank

hard

Fill all three blanks to create a 3x3 numpy array of random floats and print its shape and type.

NumPy

import numpy as np
arr = np.random.[1]([2], [3])
print(arr.shape)
print(type(arr))

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Arand

B3

Drandint

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint which generates integers.

Passing dimensions as a tuple instead of separate arguments.

np.random.rand(3, 3) creates a 3 by 3 array of random floats between 0 and 1. The shape prints as (3, 3) and the type is numpy.ndarray.