Why vectorized operations matter in Pandas - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a new column 'double' by doubling the 'value' column using vectorized operation.

Pandas

df['double'] = df['value'] [1] 2

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A*

B+

C-

D/

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' adds 2 instead of doubling.

Using '-' or '/' changes values incorrectly.

Multiplying the 'value' column by 2 doubles each element efficiently using vectorized operations.

2fill in blank

medium

Complete the code to calculate the mean of the 'score' column using a vectorized pandas method.

Pandas

mean_score = df['score'].[1]()

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Asum

Bcount

Cmax

Dmean

Attempts:

3 left

💡 Hint

Common Mistakes

Using sum() returns total, not average.

Using count() returns number of entries.

The mean() method calculates the average of the column efficiently.

3fill in blank

hard

Fix the error in the code to filter rows where 'age' is greater than 30 using vectorized comparison.

Pandas

filtered_df = df[df['age'] [1] 30]

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A>

B!=

C<=

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' selects only age exactly 30.

Using '<=' selects ages 30 or less.

The '>' operator filters rows where 'age' is greater than 30 using vectorized comparison.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if length is greater than 3.

Pandas

{word: [1] for word in words if [2] > 3}

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Alen(word)

Bword

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' instead of 'len(word)' returns the word itself, not length.

Checking 'word > 3' causes error because word is string.

The first blank should be len(word) to get the length. The second blank should also be len(word) to check if length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase keys to values only if value is positive.

Pandas

result = [1]: [2] for [3], [2] in data.items() if [2] > 0}}

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Ak.upper()

Bv

Ck

Dvalue

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'value' instead of 'v' causes undefined variable error.

Using 'value' as loop variable is inconsistent.

Not using k.upper() returns keys in original case.

Use k.upper() for uppercase keys, v for values, and k as the key variable in the loop.