Consider a DataFrame named df with columns named P2010, P2011, P2012, P2013, 2014 and P2015 containing float values. We want to use the apply method to get a new DataFrame named result_df with a new column AVG. The AVG column should average the float values across P2010 to P2015. The apply method should also remove the 6 original columns (P2010 to P2015). For that, what should be the value of x and y in the given code?

x = 1

y = 1

Explanation:

The apply method has the axis argument which enables it to use the applied function either across the rows or columns, by passing the value 1 to the axis argument, the mean of at each index is calculated, (across the column) such that the length of the AVG column is equal to the lengtb of the original dataframe.

The drop method is used in pandas to remove row or column entry from a dataframe. To remove columns from a data table, the value 1 is passed to the axis argument of the drop method. Hence, passing 1 to the axis argument removes all 6 columns leaving only the AVG column in result_df.

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