<\/span><\/h3>\n\nAnother approach is to use the `.apply()` function along with a lambda function to update the column value based on specific conditions. Here’s an example:
\n“`python
\ndf[‘column_name’] = df[‘column_name’].apply(lambda x: new_value if condition_value < x else x)
\n“`
\nIn this technique, we are applying a lambda function to each value in `’column_name’`. If the condition evaluates to `True`, the column value is updated; otherwise, it remains unchanged.<\/p>\n
So, to set column value based on a condition in Pandas, you can choose from any of these techniques.<\/b><\/p>\n