Answer-first summary for fast verification
Answer: The `display()` method can be used to visualize the DataFrame in the form of charts, graphs etc.
Both `show()` and `display()` methods can be used to print a DataFrame in Databricks. However, the `display()` method offers additional visualization capabilities over a DataFrame, such as charts and graphs, which the `show()` method does not. The `show()` method, on the other hand, supports arguments like `truncate` and `vertical` to view the data in different forms. It's important to note that the `show()` method is not exclusive to Databricks and does not convert DataFrames to RDDs.
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Two data engineers attempt to print the defects_df DataFrame using the show() and display() methods respectively. What is the key difference in the output format displayed by each method?
A
The display() method can be used to visualize the DataFrame in the form of charts, graphs etc.
B
The show() method displays the DataFrame in a tabular format but the display() method prints only the column names without any data.
C
Running the display() method converts a DataFrame to an RDD.
D
The show() method can only be used in Databricks.
E
Both A and C are true.
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