Question

 Which of the following are the correct commands to delete a column from the DataFrame df1? 

• A. df1 = df1.drop(column_name, axis=1)
• B. df1.drop(column_name, axis=columns, inplace=True)
• C. df1.drop(column_name, axis='columns', inplace=True)
• D. df1.drop(column_name, axis=1, inplace=True)

Hint:

Remember: For dropping a column in Pandas, use \texttt{axis=1} or \texttt{axis='columns'}. If you want permanent changes, use \texttt{inplace=True}, otherwise assign the result back to the DataFrame.

Answer 1

The Correct Option is A

Step 1: Recall how to delete a column in Pandas.
The drop() method is used to remove rows or columns from a DataFrame.

• To delete a column, set axis=1 (or axis='columns').
• The parameter inplace=True modifies the DataFrame directly; otherwise, a new DataFrame is returned.

Step 2: Evaluate each option.
- Option (A): df1 = df1.drop(column__name, axis=1) → Correct. This drops the column and reassigns the DataFrame.
- Option (B): df1.drop(column__name, axis=columns, inplace=True) → Incorrect. axis=columns is invalid syntax; it should be the string 'columns'.
- Option (C): df1.drop(column__name, axis='columns', inplace=True) → Correct. This is equivalent to axis=1.
- Option (D): df1.drop(column__name, axis=1, inplace=True) → Correct. This drops the column directly with an inplace modification.

Step 3: Conclusion.
The correct commands are (A), (C), and (D).
Final Answer: \[ \boxed{\text{Option (1): (A), (C), and (D) only}} \]