On the PySpark API documentation for the `DataFrame` class, explain how to use the `select` method to choose specific columns. Describe its purpose, the types of arguments it accepts, and what it returns. Provide a Python code example demonstrating how to select 'name' and 'age' columns from a DataFrame named `my_data`.
Navigate to 'spark.apache.org/docs/latest/api/python/index.html' Click on the 'API Reference' link. Locate and navigate to the documentation for the `DataFrame` class. Locate the 'select' method within the 'DataFrame' class documentation (e.g., by scrolling or using 'On this page' navigation). Extract the description of what the `select` method does. Identify the types of inputs (parameters) the `select` method accepts. Determine the type of object the `select` method returns. Construct a Python code snippet demonstrating the use of `select` to choose 'name' and 'age' from a DataFrame `my_data`.
Successfully navigates to the PySpark API Reference. Successfully locates the `DataFrame` class documentation. Identifies the `select` method. Explains that `select` projects expressions or selects columns to create a new DataFrame. States that `select` takes column names (strings) or Column objects as input. States that `select` returns a new DataFrame. Provides a correct Python code snippet, such as `my_data.select('name', 'age')` or `my_data.select(my_data.name, my_data.age)`.