Memory usage analysis in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to check the memory usage of a DataFrame.

Pandas

import pandas as pd

df = pd.DataFrame({'A': range(1000), 'B': range(1000, 2000)})
memory = df.[1]()
print(memory)

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Ahead

Binfo

Cdescribe

Dmemory_usage

Attempts:

3 left

💡 Hint

Common Mistakes

Using df.info() which shows summary but not detailed memory usage.

Using df.describe() which shows statistics, not memory.

Using df.head() which shows data rows, not memory.

The memory_usage() method shows the memory used by each column in the DataFrame.

2fill in blank

medium

Complete the code to get the total memory usage of the DataFrame in bytes.

Pandas

import pandas as pd

df = pd.DataFrame({'A': range(500), 'B': range(500, 1000)})
total_mem = df.memory_usage([1]).sum()
print(total_mem)

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Adeep=False

Bindex=True

Cdeep=True

Dindex=False

Attempts:

3 left

💡 Hint

Common Mistakes

Using index=False which excludes index memory but not detailed object memory.

Using deep=False which gives less accurate memory usage.

Using index=True which includes index but not deep memory.

Using deep=True gives a more accurate memory usage including object types.

3fill in blank

hard

Fix the error in the code to correctly print the memory usage of column 'A'.

Pandas

import pandas as pd

df = pd.DataFrame({'A': ['a', 'b', 'c'], 'B': [1, 2, 3]})
mem_col = df['A'].[1](deep=True)
print(mem_col)

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Amemory

Bmemory_usage

Cmemory_use

Dmem_usage

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-existent methods like memory or mem_usage.

Forgetting parentheses after method name.

The correct method to get memory usage of a Series is memory_usage().

4fill in blank

hard

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

Pandas

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

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as value instead of its length.

Using less than '<' instead of greater than '>'.

The dictionary comprehension uses len(word) for values and filters words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values for words longer than 4 characters.

Pandas

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
result = [1]: [2] for w in words if len(w) [3] 4}
print(result)

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Aw.upper()

Bw

C>

Dlen(w)

Attempts:

3 left

💡 Hint

Common Mistakes

Using length as value instead of the word.

Using less than '<' instead of greater than '>'.

Not converting keys to uppercase.

The dictionary comprehension uses uppercase words as keys, original words as values, and filters words longer than 4 characters.