str.strip() for whitespace in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to remove whitespace from the start and end of the 'Name' column in the DataFrame.

Pandas

df['Name'] = df['Name'].str.[1]()

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

Alower

Bsplit

Cstrip

Dreplace

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'split' instead of 'strip' which splits strings into lists.

Using 'replace' which replaces characters but doesn't specifically remove whitespace at ends.

The str.strip() method removes whitespace from both the start and end of each string in the Series.

2fill in blank

medium

Complete the code to remove whitespace only from the right side of the 'City' column.

Pandas

df['City'] = df['City'].str.[1]()

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

Arstrip

Bstrip

Clstrip

Dtrim

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'strip' which removes whitespace from both sides.

Using 'lstrip' which removes whitespace from the left side.

The str.rstrip() method removes whitespace only from the right side (end) of each string.

3fill in blank

hard

Fix the error in the code to remove whitespace from the left side of the 'Country' column.

Pandas

df['Country'] = df['Country'].str.[1]()

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

Alstrip

Bstrip

Crstrip

Dtrim

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'rstrip' which removes whitespace from the right side.

Using 'strip' which removes whitespace from both sides.

The str.lstrip() method removes whitespace only from the left side (start) of each string.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 4 characters.

Pandas

lengths = {word: [1] for word in words if len(word) [2] 4}

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' which filters shorter words.

Using 'word' instead of 'len(word)' which would store the word itself.

The dictionary comprehension maps each word to its length if the word length is greater than 4.

5fill in blank

hard

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

Pandas

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

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'k' instead of 'k.upper()' which does not change key case.

Using '<' instead of '>' which filters values less than zero.

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