Pandas exercise Q7: Create three Pandas series from numpyarray. Create three numpy arrays by selecting columns 2,3,4 from the dataset. Q8: Create a new data frame, 'df,' from the pandas series created in Q6. Q9: Read nycflights.csv file using pandas. Create a new data frame by selecting dep_time, dep_delay, arr_time, arr_delay, and tailnum, and name it newyork_flight_new_display with the first five entries. Q10: Filter newyork_flight_new by selecting rows where departure time is greater than 2000 and name it dep_time_2000. How many rows were deleted? Q11: Do we have any missing values in dep_delay? If yes, replace the missing values with the median of dep_delay. Hint: replace the missing values in dep_time_2000. Q12: create a new data frame by adding dep_delay and arr_delay and name it "total_delay." Add a new column, "total_delay," to the dep_time_2000