Which of the following code blocks returns a new DataFrame with column storeReview where the pattern "End" has been removed from the end of column storeReview in DataFrame storesDF?
A sample DataFrame storesDF is below:
Which of the following code blocks returns a new DataFrame with column storeReview where the pattern "End" has been removed from the end of column storeReview in DataFrame storesDF?
A sample DataFrame storesDF is below:
To remove the pattern ' End' from the end of the column 'storeReview' in the DataFrame 'storesDF', the correct code block should use the 'regexp_replace' function along with the 'col' function correctly. The correct implementation is 'storesDF.withColumn("storeReview", regexp_replace(col("storeReview"), " End$", ""))'. This method ensures that the 'regexp_replace' function operates on the column 'storeReview,' replacing the pattern ' End' that appears at the end of the string. Therefore, option B is the correct choice.
B also works right?
B is the right choice
B is right one it seems, col should be used
B & D work