The code block shown below should print the schema of DataFrame storesDF. Choose the response that correctly fills in the numbered blanks within the code block to complete this task.
Code block:
__1__.__2__
The code block shown below should print the schema of DataFrame storesDF. Choose the response that correctly fills in the numbered blanks within the code block to complete this task.
Code block:
__1__.__2__
To print the schema of a DataFrame in Spark, you use the DataFrame's 'printSchema' method without any arguments. This method prints the schema of the DataFrame, including column names and types. Therefore, the code block should be filled with 'storesDF.printSchema'.
should be B for printSchema() is should be DataFrame.printSchema() with parenthesis
interesting case, either the answer E is indeed not complete () is missing or it is B, though B doesn't print schema but returns schema object
E is correct. This question is for scala not python
I think it's B.
It is df.printSchema().
B & E results an output. But using df.schema gives you the schema in more detail, df.printSchema just gives the columns that are present in the dataframe. df.printSchema() gives the detailed schema.