The expected temperature on a specific day can be approximated by the following function T - T + T Ten) cos((day daypad)) where is the average annual temperature. To is the peak temperature is the frequency of the annual variation (21/365), and day peak is the day of the peak temperature luse 2051 Tour (C) City TALLI Mami, FL 221 28.3 Yuma.AZ 23.1 33.6 Bismarck, ND 52 221 Seattle, WA 10.8 17.6 Boston, MA 2017 22.9 1. Develop a function that returns the average expected temperature gra timesan for a particular city. The function should take as input your start and end days and the relevant temperatures from the table above 2. Within the function, plot the expected temperature for each day within the provided range 3. In your main senot use forint statements to display your results from your function coll. The temperature should be displayed to 2 decimal places . ex The average expected temperature between September and November in Miami, FL is 22.80 degrees Celsius 4. While your function should work for any input, test your function for July-Augustin Yuma, AZ (day= 182 to 243) and May-June in Miami, FL iday = 121 to 1811. Do not obtain this information from user input. You can provide this information in your main script. Siththath m