On the PySpark API documentation, navigate to the `DataFrame` class. Find the `select` method and explain what it does, what inputs it takes, and what kind of output it produces. Provide a Python code example showing how to use `select` to choose columns 'name' and 'age' from a DataFrame named `my_data`.
Navigate to spark.apache.org/docs/latest/api/python/index.html (PySpark Overview). Click on the 'API Reference' link. Locate and navigate to the documentation for the `DataFrame` class. Scroll or navigate to find the `select` method within the `DataFrame` class documentation. 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)`.