Assume that we have an employee_df DataFrame that contains 10 rows. What will the following code do? (You can select more than one option.)employee_df.iloc[8:]A.Show the last two rows in the DataFrameB.Show all elements starting from index 8 onwardsC.Show the last row in the DataFrameD.Show the last three rows in the DataFrame
Question
Assume that we have an employee_df DataFrame that contains 10 rows. What will the following code do? (You can select more than one option.)employee_df.iloc[8:]A.Show the last two rows in the DataFrameB.Show all elements starting from index 8 onwardsC.Show the last row in the DataFrameD.Show the last three rows in the DataFrame
Solution
The code employee_df.iloc[8:] will do the following:
A. Show the last two rows in the DataFrame - This is possible if the DataFrame has 10 rows, as the index in Python starts from 0. So, index 8 will represent the 9th row and onwards.
B. Show all elements starting from index 8 onwards - This is true. The iloc function in pandas is used to select rows by integer location. 8: means select all rows starting from the row at index 8 till the end of the DataFrame.
C. Show the last row in the DataFrame - This is not necessarily true. It will show the last row only if the DataFrame has exactly 9 rows. But as per the question, the DataFrame has 10 rows, so it will show the last two rows.
D. Show the last three rows in the DataFrame - This is not true. The code will show the last two rows, not three, in a DataFrame of 10 rows.
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