Sample() for random rows in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to select 3 random rows from the DataFrame df.

Data Analysis Python

random_rows = df.[1](3)

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Asort

Bhead

Ctail

Dsample

Attempts:

3 left

💡 Hint

Common Mistakes

Using head() or tail() which select fixed rows, not random ones.

Using sort() which orders rows but does not sample.

The sample() method selects random rows from a DataFrame. Here, df.sample(3) returns 3 random rows.

2fill in blank

medium

Complete the code to select 20% random rows from the DataFrame df.

Data Analysis Python

random_rows = df.sample(frac=[1])

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A0.2

B2

C0.02

D20

Attempts:

3 left

💡 Hint

Common Mistakes

Using 20 instead of 0.2, which causes an error.

Using 2 which is greater than 1 and invalid for fraction.

The frac parameter in sample() specifies the fraction of rows to return. frac=0.2 means 20% of rows.

3fill in blank

hard

Fix the error in the code to select 5 random rows without replacement from df.

Data Analysis Python

random_rows = df.sample(n=5, replace=[1])

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ANone

BTrue

CFalse

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting replace=True causes repeated rows.

Using None or 0 which are invalid for replace.

To sample without replacement, set replace=False. This means rows are not repeated.

4fill in blank

hard

Fill both blanks to select 4 random rows with a fixed random seed for reproducibility.

Data Analysis Python

random_rows = df.sample(n=[1], random_state=[2])

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A4

B42

C5

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using random_state=0 which is valid but less common than 42.

Mixing up n and random_state values.

The n parameter sets the number of rows to sample. random_state fixes the seed so results are repeatable.

5fill in blank

hard

Fill all three blanks to create a dictionary of word lengths for words longer than 3 letters.

Data Analysis Python

lengths = {word: [1] for word in words if len(word) [2] [3]

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Alen(word)

B>

C3

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) for the value.

Using < or == instead of > in the condition.

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