The programming language is - Pythona. Write a function called daysOver that takes three arguments: a dictionary, a location (such as ‘Sydney’, ‘Adelaide’,etc) and a temperature and returns the number of days that were over the given temperature for the given location. For example, if we call the function using the line:total = daysOver(dictionaryData, ‘Adelaide’, 40)total will hold the number of days that Adelaide had a temperature greater than 40 celsius in the data. As a test, there were 54 days over 40 celsius in the data. Check that total is 54 for the example when you run your code. b. Use the daysOver function to print the number of days over 35 celsius for each of the following cities: 'Adelaide','Perth','Melbourne','Canberra','Sydney','Brisbane','Darwin' c. Which of the Australian cities has the most number of days over 35 celsius? My spreadsheet looks like thisSince I cannot attach an excel file, my excel file name is "weatherAUS.csv" 14 13/12/08,Albury,15.9,18.6,15.6,NA,NA,W,61,NNW,NNW,28,28 76 93.994.3,993 9 0 17 A158,Yes,3.6,Yes19 19/12/08 Albvun, 14 a 22.5,10.6.NA ANA CEE A3. WSw,Sw.24 17 A7.32,1009.4,1009 7 NA A AEE21 Yes 0.NoA1v fx Date,Location,MinTemp,MaxTemp,Rainfall,Evaporation,Sunshine,WindGustDir,WindGustSpeed,WindDir9am,WindDir3pm,WindSpeed9am,WindSpeed3pm,Humidity9am,Humidity3pm,Pressure9am, vE F G H IKL M N OQ RS| TABP1 Date,Locatioh, MinTemp, MaxTemp, Rainfall,Evaporation,Sunshine,WindGustDir, WindGustSpeed, WindDir9am,WindDir3pm,WindSpeed9am,WindSpeed3pm, Humidity9am, Humidity3pm,Pressure9am,Pressure3pm,Cloud9am,Cloud3pm, Temp9am,Temp3pm,RainTod2 1/12/08,Albury,13.4,22.9,0.6,NA,NA,W,44,W,WNW,20,24,71,22,1007.7,1007.1,8,NA,16.9,21,8,No,0,No3 2/12/08,Albury,7.4,25.1,0,NA, NA,WNW,44,NNW,WSw,4,22,44,25,1010.6,1007.8,NA,NA,17.2,24.3,No,0,No4 3/12/08,Albury, 12.9,25.7,0,NA, NA,WSW,46,w,wsw,19,26,38,30,1007.6,1008.7,NA,2,21,23.2,No,0,No5 4/12/08,Albury,9.2,28,0,NA,NA,NE,24,SE,E,11,9,45,16,1017.6,1012.8,NA,NA,18.1,26.5,No,1,Mo6 5/12/08,Albury,17.5,32.3,1,NA, NA,W,41,ENE,NW,7,20,82,33,1010.8,1006,7,8,17.8,29.7,No,0,2,No7 6/12/08,Albury,14.6,29.7,0.2,NA,NA,WNW,56,W,W,19,24,55,23,1009.2,1005.4,NA,NA,20.6,28.9,No,0,No8 7/12/08,Albury,14.3,25,0,NA,NA,W,50,SW,W,20,24,49,19,1009.6,1008.2,1,NA,18.1,24.6,No,0,No9 8/12/08,Albury,7.7,26.7,0,NA,NA,W,35,SSE,W,6,17,48,19,1013.4,1010.1,NA,NA,16.3,25.5,No,0,No10 9/12/08,Albury,9.7,31.9,0,NA,NA,NNW,80,SE,NW,7,28,42,9,1008.9,1003.6,NA,NA, 18.3,30.2, No,1.4,Yes11 10/12/08,Albury, 13.1,30.1,1.4,NA,NA,W,28,S,SSE,15,11,58,27,1007,1005.7,NA,NA,20.1,28.2,Yes,0,No12 11/12/08,Albury, 13.4,30.4,0,NA,NA,N,30,SSE,ESE,17,6,48,22,1011.8,1008.7,NA, NA,20.4,28.8 No,2.2,Yes13 12/12/08,Albury, 15.9,21.7,2.2,NA,NA,NNE,31,NE,ENE,15,13,89,91,1010.5,1004.2,8,8,15.9,17 Yes,15.6,Yes15 14/12/08,Albury, 12.6,21,3.6,NA,NA,SW,44,W,ssw,24,20,65,43,1001.2,1001.8,NA,7,15.8,19.8,Yes,0,No16 16/12/08,Albury,9.8,27.7,NA,NA,NA,WNW,50,NA,WNW,NA,22,50,28,1013.4,1010.3,0,NA,17,3,26.2,NA,0,No17 17/12/08,Albury,14.1,20.9,0,NA,NA,ENE,22,SSW,E,11,9,69,82,1012.2,1010.4,8,1,17.2,18.1,No,16.8,Yes18 18/12/08,Albury,13.5,22.9,16.8,NA,NA, W,63,N,WNW,6,20,80,65,1005.8,1002.2,8,1,18,21.5,Yes,10.6,Yes19 19/12/08,Albury,11.2,22.5,10.6,NA, NA,SSE,43,WSW,sw,24,17,47,32,1009.4,1009.7,NA,2,15.5,21,Yes,0,No20 20/12/08,Albury,9.8,25.6,0,NA,NA,SSE,26,SE,NNW,17,6,45,26,1019.2,1017.1,NA,NA,15.8,23.2,No,0,No21 21/12/08,Albury,11.5,29.3,0,NA,NA,S,24,SE,SE,9,9,56,28,1019.3,1014.8,NA,NA,19.1,27.3,No,),No22 22/12/08,Albury,17.1,33,0,NA, NA, NE,43,NE,N,17,22,38,28,1013.6,1008.1,NA,1,24.5,31.6,No,),No23 23/12/08,Albury,20.5,31.8,0,NA,NA,WNW,41,W,W,19,20,54,24,1007.8,1005.7,NA,NA,23.8,30.8,No,0,No24 24/12/08,Albury,15.3,30.9,0,NA, NA,N,33,ESE,Nw,6,13,55,23,1011,1008.2,5,NA,20.9,29,No,0 No25 25/12/08,Albury,12.6,32.4,0,NA,NA,W,43,E,W,4,19,49,17,1012.9,1010.1,NA,NA,21.5,31.2,No,0,No26 26/12/08,Albury,16.2,33.9,0,NA,NA,WSW,35,SE,wsw,9,13,45,19,1010.9,1007.6,NA,1,23.2,33,No,0,No27 27/12/08,Albury, 16.9,33,0,NA, NA,WSW,57,NA,W,0,26,41,28,1006.8,1003.6,NA,1,26.6,31.2,No,0,No*** ** -* sor sweatherAUS

import csv if __name__ == '__main__': mydict = {} #creating dictionary with city as key and…

Answered: a. Write a function called daysOver…

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Question

The programming language is - Python

a. Write a function called daysOver that takes three arguments: a dictionary, a location (such as ‘Sydney’, ‘Adelaide’,etc) and a temperature and returns the number of days that were over the given temperature for the given location. For example, if we call the function using the line:

total = daysOver(dictionaryData, ‘Adelaide’, 40)

total will hold the number of days that Adelaide had a temperature greater than 40 celsius in the data. As a test, there were 54 days over 40 celsius in the data. Check that total is 54 for the example when you run your code.

b. Use the daysOver function to print the number of days over 35 celsius for each of the following cities: 'Adelaide','Perth','Melbourne','Canberra','Sydney','Brisbane','Darwin'

c. Which of the Australian cities has the most number of days over 35 celsius?

My spreadsheet looks like this

Since I cannot attach an excel file, my excel file name is "weatherAUS.csv"