Selecting multiple columns in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to select columns 'A' and 'B' from the DataFrame df.

Pandas

selected = df[[[1]]]

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

A["A", "B"]

B"AB"

C("A", "B")

D"A, B"

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string with comma instead of a list.

Using parentheses instead of brackets.

Selecting columns without double brackets.

To select multiple columns in pandas, you pass a list of column names inside double brackets.

2fill in blank

medium

Complete the code to select columns 'Name' and 'Age' from the DataFrame data.

Pandas

subset = data[[[1]]]

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

A("Name", "Age")

B["Name", "Age"]

C"Name, Age"

D"NameAge"

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string with commas instead of a list.

Using parentheses instead of square brackets.

Use a list of column names inside double brackets to select multiple columns.

3fill in blank

hard

Fix the error in selecting columns 'X' and 'Y' from df.

Pandas

result = df[[1]]

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

A["X", "Y"]

B"X, Y"

C("X", "Y")

D"XY"

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a string with commas instead of a list.

Using parentheses instead of square brackets.

To select multiple columns, use a list of column names inside double brackets.

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their lengths as values, but only for words longer than 4 letters.

Pandas

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

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

Aword

Blen(word)

Cword.upper()

Dlen(words)

Attempts:

3 left

💡 Hint

Common Mistakes

Using len(words) instead of len(word).

Using word.upper() as key instead of word.

The dictionary comprehension uses the word as the key and its length as the value.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys, their lengths as values, but only for words longer than 3 letters.

Pandas

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

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

Aword.upper()

Blen(word)

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of word.upper() as key.

Using word instead of len(word) in condition.

The dictionary comprehension uses the uppercase word as key, length as value, and filters words longer than 3 letters.