Renaming columns in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to rename the column 'old' to 'new' in the DataFrame df.

Pandas

df.rename(columns=[1], inplace=True)

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

A{'old': 'new'}

B['old', 'new']

C('old', 'new')

D'old:new'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list or tuple instead of a dictionary.

Passing a string instead of a dictionary.

The rename method requires a dictionary mapping old column names to new ones. So {'old': 'new'} is correct.

2fill in blank

medium

Complete the code to rename multiple columns: 'A' to 'Alpha' and 'B' to 'Beta'.

Pandas

df.rename(columns=[1], inplace=True)

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

A'A:Alpha, B:Beta'

B['A', 'Alpha', 'B', 'Beta']

C{'A': 'Alpha', 'B': 'Beta'}

D('A', 'Alpha', 'B', 'Beta')

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list or tuple instead of a dictionary.

Forgetting to set inplace=True to modify the DataFrame.

To rename multiple columns, pass a dictionary with all old-to-new mappings to columns.

3fill in blank

hard

Fix the error in the code to rename column 'score' to 'points' without changing the original DataFrame.

Pandas

new_df = df.rename(columns=[1])

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

A('score', 'points')

B['score', 'points']

C'score:points'

D{'score': 'points'}

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list or tuple instead of a dictionary.

Using inplace=True which modifies the original DataFrame.

The rename method returns a new DataFrame if inplace is not set. The columns argument must be a dictionary.

4fill in blank

hard

Fill both blanks to rename columns 'x' to 'X' and 'y' to 'Y' and assign the result to df_new.

Pandas

df_new = df.rename(columns=[1], inplace=[2])

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

A{'x': 'X', 'y': 'Y'}

BTrue

CFalse

D{'X': 'x', 'Y': 'y'}

Attempts:

3 left

💡 Hint

Common Mistakes

Setting inplace=True which modifies the original DataFrame.

Using the wrong dictionary mapping.

To rename columns and keep the original DataFrame unchanged, pass the mapping dictionary and set inplace=False (or omit it).

5fill in blank

hard

Fill all three blanks to rename columns 'a' to 'alpha', 'b' to 'beta', and 'c' to 'gamma' and save the result in df2 without changing df.

Pandas

df2 = df.rename(columns=[1], inplace=[2], errors=[3])

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

A{'a': 'alpha', 'b': 'beta', 'c': 'gamma'}

BFalse

C'ignore'

DTrue

Attempts:

3 left

💡 Hint

Common Mistakes

Setting inplace=True which modifies the original DataFrame.

Not handling errors when columns might be missing.

Use a dictionary for columns, set inplace=False to keep original DataFrame, and errors='ignore' to avoid errors if columns are missing.