I need help with #5, please explain the answer as well

Question 4. We've loaded an array of temperatures in the next cell. Each number is the highest temperature observed on a day at a climate observation station, mostly from the US. Since they're from the US government agency NOAA, all the temperatures are in Fahrenheit. Convert them all to Celsius by first subtracting 32 from them, then multiplying the results by . Make sure to ROUND each result to the nearest integer using the np.round function. max_temperatures = Table.read_table("temperatures.csv").column("Daily Max Temperature") celsius_max_temperatures = np.round((max_temperatures - 32)*(5/9)) celsius_max_temperatures array([-4., 31., 32., ..., 17., 23., 16.]) check('tests/q3_4.py') All tests passed! Question 5. The cell below loads all the lowest temperatures from each day (in Fahrenheit). Compute the size of the daily temperature range for each day. That is, compute the difference between each daily maximum temperature and the corresponding daily minimum temperature. Give your answer in Celsius! Make sure NOT to round your answer for this question! min_temperatures = Table.read_table("temperatures.csv").column("Daily Min Temperature") celsius_temperature_ranges = celsius_temperature_ranges array([12, 18, 22, ..., 31, 21, 20]) check('tests/93_5.py') 0 of 1 tests passed Tests failed