Explanation
itemsDf.printSchema()
Correct! Here is an example of what itemsDf.printSchema() shows, you can see the tree-like structure containing both column names and types:
root
|-- itemId: integer (nullable = true)
|-- attributes: array (nullable = true)
| |-- element: string (containsNull = true)
|-- supplier: string (nullable = true)
itemsDf.rdd.printSchema()
No, the DataFrame's underlying RDD does not have a printSchema() method.
spark.schema(itemsDf)
Incorrect, there is no spark.schema command.
print(itemsDf.columns)
print(itemsDf.dtypes)
Wrong. While the output of this code blocks contains both column names and column types, the information is not arranges in a tree-like way.
itemsDf.print.schema()
No, DataFrame does not have a print method.
Static notebook | Dynamic notebook: See test 3