Array creation (array, arange, linspace) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array from a list of numbers.

Data Analysis Python

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

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Aarray

Barange

Clinspace

Dzeros

Attempts:

3 left

💡 Hint

Common Mistakes

Using arange or linspace instead of array when starting from a list.

Forgetting to import numpy as np.

The array function creates a NumPy array from a Python list.

2fill in blank

medium

Complete the code to create an array of numbers from 0 to 9 using NumPy.

Data Analysis Python

import numpy as np
arr = np.[1](10)
print(arr)

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Aarange

Barray

Clinspace

Dzeros

Attempts:

3 left

💡 Hint

Common Mistakes

Using array with a single integer argument instead of arange.

Using linspace which requires start and stop arguments.

The arange function creates an array with evenly spaced values within a given range. Here, it creates numbers from 0 up to (but not including) 10.

3fill in blank

hard

Fix the error in the code to create 5 evenly spaced numbers between 0 and 1.

Data Analysis Python

import numpy as np
arr = np.linspace(0, 1, [1])
print(arr)

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A10

B0

C5

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 or 1 which results in too few points.

Using 10 which creates more points than needed.

The third argument to linspace is the number of points to generate. To get 5 points between 0 and 1, use 5.

4fill in blank

hard

Fill both blanks to create an array of numbers from 2 to 10 (exclusive) with step size 2.

Data Analysis Python

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

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A2

B10

C12

D8

Attempts:

3 left

💡 Hint

Common Mistakes

Using 12 as stop which includes extra numbers.

Using 8 as stop which excludes 8 itself.

arange takes start, stop, and step arguments. To get numbers from 2 up to but not including 10 with step 2, use start=2 and stop=10.

5fill in blank

hard

Fill all three blanks to create a dictionary with words as keys and their lengths as values, but only for words longer than 3 characters.

Data Analysis Python

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

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A{word

Blen(word)

C>

D{word: len(word)

Attempts:

3 left

💡 Hint

Common Mistakes

Not using braces to create a dictionary.

Using '<' instead of '>' in the condition.

Not using len(word) for the value.

This is a dictionary comprehension. It creates a dictionary where each key is a word and the value is its length, but only includes words longer than 3 characters.