The filter operation allows you to select rows from your dataset based on specified conditions. This is useful when you want to focus on a subset of your data that meets specific criteria.
The filter function often involves three components: property, operator, and value. Here's a brief explanation of each component:
- Property: The property refers to the attribute or feature of the elements in the collection you want to apply the filter on. In the context of data manipulation, it can be a column name in a DataFrame or a key in a dictionary.
- Operator: The operator is the comparison or logical operator used to define the condition for filtering. Common operators include equal (==), not equal (!=), less than (<), less than or equal to (<=), greater than (>), greater than or equal to (>=), and so on.
- Value: The value is the reference point or threshold used in the condition. It is the specific value you want to compare the property against using the chosen operator.
Filter rows where Sales > 200:
Updated 5 months ago