Pandas and NumPy connection - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a NumPy array from a pandas Series.

Pandas

import pandas as pd
import numpy as np

s = pd.Series([1, 2, 3, 4])
arr = s.[1]()

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Aasarray

Bvalues

Carray

Dto_numpy

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'values' which is an attribute, not a method.

Using 'array' which is a NumPy function, not a pandas Series method.

The to_numpy() method converts a pandas Series to a NumPy array.

2fill in blank

medium

Complete the code to create a pandas DataFrame from a NumPy array.

Pandas

import pandas as pd
import numpy as np

arr = np.array([[1, 2], [3, 4]])
df = pd.[1](arr, columns=['A', 'B'])

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ASeries

BDataFrame

CPanel

DArray

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Series' which creates a one-dimensional object.

Using 'Panel' which is deprecated and not for 2D arrays.

The DataFrame constructor creates a DataFrame from a NumPy array.

3fill in blank

hard

Fix the error in the code to convert a pandas DataFrame column to a NumPy array.

Pandas

import pandas as pd
import numpy as np

df = pd.DataFrame({'col': [10, 20, 30]})
arr = df['col'].[1]

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Ato_numpy()

Bvalues()

Cto_list()

Darray()

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'values()' which causes an error because 'values' is an attribute.

Using 'to_list()' which returns a Python list, not a NumPy array.

The to_numpy() method converts the DataFrame column to a NumPy array. values is an attribute, not a method.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length if the length is greater than 3.

Pandas

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

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Alen(word)

Bword

Clen(word) > 3

Dword > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word' as the value instead of its length.

Using 'word > 3' which compares a string to a number.

The dictionary comprehension uses len(word) as the value and filters words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths if length is greater than 3.

Pandas

words = ['apple', 'bat', 'carrot', 'dog']
result = { [1]: [2] for word in words if [3] }

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Aword.upper()

Blen(word)

Clen(word) > 3

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using word.lower() instead of uppercase.

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

The dictionary comprehension maps the uppercase version of each word to its length, filtering words longer than 3 characters.