NumPy with Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array of 5 zeros.

NumPy

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

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Aempty

Bones

Cfull

Dzeros

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.ones instead of np.zeros

Using np.empty which creates uninitialized values

The np.zeros function creates an array filled with zeros.

2fill in blank

medium

Complete the code to generate 100 linearly spaced values between 0 and 10.

NumPy

import numpy as np
x = np.[1](0, 10, 100)
print(x[:5])

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Alinspace

Barange

Clogspace

Dgeomspace

Attempts:

3 left

💡 Hint

Common Mistakes

Using np.arange which uses step size instead of number of points

Using np.logspace which spaces points logarithmically

np.linspace generates evenly spaced numbers over a specified interval.

3fill in blank

hard

Fix the error in the code to plot a sine wave using Matplotlib.

NumPy

import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)
plt.plot(x, [1])
plt.show()

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Ax

Bnp.sin

Cy

Dnp.cos

Attempts:

3 left

💡 Hint

Common Mistakes

Plotting x against x instead of y

Passing the function np.sin instead of its evaluated values

The plt.plot function needs the y-values to plot against x. Here, y contains the sine values.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 characters.

NumPy

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length

Using the wrong comparison operator in the condition

The dictionary comprehension maps each word to its length using len(word). The condition filters words with length greater than 3 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words mapped to their lengths if length is greater than 4.

NumPy

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
result = { [1]: [2] for word in words if len(word) [3] 4 }
print(result)

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Aword.upper()

Blen(word)

C>

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase instead of uppercase for keys

Using wrong comparison operator or value

The dictionary comprehension uses word.upper() as keys, len(word) as values, and filters words with length greater than 4 using >.