Series indexing and selection in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to select the element at index 2 from the Series.

Data Analysis Python

import pandas as pd
s = pd.Series([10, 20, 30, 40])
value = s[1]

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

A[2]

B.loc[2]

C.iloc[2]

D[3]

Attempts:

3 left

💡 Hint

Common Mistakes

Using .loc instead of square brackets for positional selection

Using the wrong index number

Using square brackets with the index number selects the element at that position in the Series.

2fill in blank

medium

Complete the code to select elements with labels 1 and 3 using .loc.

Data Analysis Python

import pandas as pd
s = pd.Series([100, 200, 300, 400], index=[0, 1, 2, 3])
subset = s[1]

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

A[[1, 3]]

B.loc[[1, 3]]

C.iloc[[1, 3]]

D[1, 3]

Attempts:

3 left

💡 Hint

Common Mistakes

Using .iloc instead of .loc for label-based selection

Not using double brackets for list selection

.loc is used to select elements by their index labels. Here, labels 1 and 3 are selected.

3fill in blank

hard

Fix the error in the code to select the element at position 1 using .iloc.

Data Analysis Python

import pandas as pd
s = pd.Series([5, 10, 15])
value = s[1]

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

A.iloc[1]

B.loc[1]

C[1]

D[[1]]

Attempts:

3 left

💡 Hint

Common Mistakes

Using .loc instead of .iloc for position selection

Using double brackets which returns a Series instead of a scalar

.iloc selects by integer position. Using .iloc[1] correctly gets the second element.

4fill in blank

hard

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

Data Analysis Python

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if [2]

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

Alen(word)

Blen(word) > 3

Cword

Dlen(word) < 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length

Using the wrong condition for filtering

The dictionary comprehension maps each word to its length if the word length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values greater than 0.

Data Analysis Python

data = {'a': 1, 'b': -2, 'c': 3}
result = [1]: [2] for k, v in data.items() if v [3] 0}

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

Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using k.lower() instead of k.upper()

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

Using keys or values incorrectly in the comprehension

The dictionary comprehension uses uppercase keys, keeps values, and filters values greater than zero.