Final answer:
To drop duplicates based on a column in pandas, use the drop_duplicates() method and specify the column.
Step-by-step explanation:
To drop duplicates based on a column in pandas, you can use the drop_duplicates() method. This method allows you to specify the column on which duplicates should be dropped. Here's an example:
df.drop_duplicates(subset='column_name')
This will remove all duplicate rows in the specified column, keeping only the first occurrence.