University of New Haven Python Program Exercise Paper Background information: The input file for this assignment, weather.csv, is described here. Assi

University of New Haven Python Program Exercise Paper Background information:

The input file for this assignment, weather.csv, is described here.

Assignment:

Using weather.py (renamed according to the instructions above) as a starting point, supply the missing functions such that interaction with a user could produce this sample transcript.
The function coldest_temperature should find the minimum temperature recorded in the file. It should print this temperature, the location where it was recorded and the date when it was recorded. Match the output format that appears in the sample transcript exactly. Note: If the minimal temperature reading occurs more than once, print out the information associated with its first occurrence.
The function average_temperature is passed a location (e.g. Miles City, MT) that the user supplies. The function prints the number of average temperatures recorded for this location, as well as the average of these temperatures. Match the output format in the sample transcript. You may assume that the user enters the location in a valid format (e.g. city name, comma, space, state).
The function all_stations_by_state is passed the state (e.g. Montana) that receives reporting data from stations. The function finds and prints in alphabetical order the reporting stations that send their data to this state. Match the output format in the sample transcript.
Study the Weather CSV Library and develop a function of your own that corresponds to menu option 4. The function should be interesting, non-trivial and not a simple variation of one of the other functions. Modify the menu and main functions as appropriate.

Grading:

Function coldest_temperature: 20 points

5 points. The coldest temperature reading is identified correctly. (All or nothing.)
5 points. The location of the coldest temperature reading is identified correctly. If the coldest temperature occurs at more than one location, the first location in the file should be reported. (All or nothing.)
5 points. The date of the coldest temperature reading is identified correctly. (All or nothing.)
5 points. The three lines of output match the format of the output transcript exactly. (All or nothing.)

Function average_temperature: 20 points

5 points. The number of readings is calculated correctly when the location appears in the file, regardless of the case of the input. (All of nothing.)
5 points. The average temperature is calculated correctly when the location appears in the file, regardless of the case of the input. (All or nothing.)
5 points. The two lines of output match the format of the output transcript exactly when the location appears in the file. (All or nothing.)
5 points. The two lines of output match the format of the output transcript exactly when the location does NOT appears in the file. (All or nothing.)

Function all_stations_by_state: 25 points

10 points. The recording stations are identified correctly. (All or nothing.)
5 points. The recording stations are printed in alphabetical order. (All or nothing.)
5 points. The output matches the format of the output transcript exactly when the state appears in the file. (All or nothing.)
5 points. The output matches the format of the output transcript exactly when the state does NOT appears in the file. (All or nothing.)

Your function: 20 points

5 points. The function is non-trivial. (All or nothing.)
5 points. The function is not a simple variation of one of the other three functions. (All or nothing).
10 points. The function works correctly. (All or nothing.)

Style and Quality: 15 points. The Python solution is of high quality, properly commented, easy to understand and does not contain unnecessary code. (3 points for each type of improvement up to 15 points.)