Please help me to find the result with python code.

Here is the CSV content :

index,company,body-style,wheel-base,length,engine-type,num-of-cylinders,horsepower,average-mileage,price

0,alfa-romero,convertible,88.6,168.8,dohc,four,111,21,13495

1,alfa-romero,convertible,88.6,168.8,dohc,four,111,21,16500

2,alfa-romero,hatchback,94.5,171.2,ohcv,six,154,19,16500

3,audi,sedan,99.8,176.6,ohc,four,102,24,13950

4,audi,sedan,99.4,176.6,ohc,five,115,18,17450

5,audi,sedan,99.8,177.3,ohc,five,110,19,15250

6,audi,wagon,105.8,192.7,ohc,five,110,19,18920

9,bmw,sedan,101.2,176.8,ohc,four,101,23,16430

10,bmw,sedan,101.2,176.8,ohc,four,101,23,16925

11,bmw,sedan,101.2,176.8,ohc,six,121,21,20970

13,bmw,sedan,103.5,189,ohc,six,182,16,30760

14,bmw,sedan,103.5,193.8,ohc,six,182,16,41315

15,bmw,sedan,110,197,ohc,six,182,15,36880

16,chevrolet,hatchback,88.4,141.1,l,three,48,47,5151

17,chevrolet,hatchback,94.5,155.9,ohc,four,70,38,6295

18,chevrolet,sedan,94.5,158.8,ohc,four,70,38,6575

19,dodge,hatchback,93.7,157.3,ohc,four,68,31,6377

20,dodge,hatchback,93.7,157.3,ohc,four,68,31,6229

27,honda,wagon,96.5,157.1,ohc,four,76,30,7295

28,honda,sedan,96.5,175.4,ohc,four,101,24,12945

29,honda,sedan,96.5,169.1,ohc,four,100,25,10345

30,isuzu,sedan,94.3,170.7,ohc,four,78,24,6785

31,isuzu,sedan,94.5,155.9,ohc,four,70,38,

32,isuzu,sedan,94.5,155.9,ohc,four,70,38,

33,jaguar,sedan,113,199.6,dohc,six,176,15,32250

34,jaguar,sedan,113,199.6,dohc,six,176,15,35550

35,jaguar,sedan,102,191.7,ohcv,twelve,262,13,36000

36,mazda,hatchback,93.1,159.1,ohc,four,68,30,5195

37,mazda,hatchback,93.1,159.1,ohc,four,68,31,6095

38,mazda,hatchback,93.1,159.1,ohc,four,68,31,6795

39,mazda,hatchback,95.3,169,rotor,two,101,17,11845

43,mazda,sedan,104.9,175,ohc,four,72,31,18344

44,mercedes-benz,sedan,110,190.9,ohc,five,123,22,25552

45,mercedes-benz,wagon,110,190.9,ohc,five,123,22,28248

46,mercedes-benz,sedan,120.9,208.1,ohcv,eight,184,14,40960

47,mercedes-benz,hardtop,112,199.2,ohcv,eight,184,14,45400

49,mitsubishi,hatchback,93.7,157.3,ohc,four,68,37,5389

50,mitsubishi,hatchback,93.7,157.3,ohc,four,68,31,6189

51,mitsubishi,sedan,96.3,172.4,ohc,four,88,25,6989

52,mitsubishi,sedan,96.3,172.4,ohc,four,88,25,8189

53,nissan,sedan,94.5,165.3,ohc,four,55,45,7099

54,nissan,sedan,94.5,165.3,ohc,four,69,31,6649

55,nissan,sedan,94.5,165.3,ohc,four,69,31,6849

56,nissan,wagon,94.5,170.2,ohc,four,69,31,7349

57,nissan,sedan,100.4,184.6,ohcv,six,152,19,13499

61,porsche,hardtop,89.5,168.9,ohcf,six,207,17,34028

62,porsche,convertible,89.5,168.9,ohcf,six,207,17,37028

63,porsche,hatchback,98.4,175.7,dohcv,eight,288,17,

66,toyota,hatchback,95.7,158.7,ohc,four,62,35,5348

67,toyota,hatchback,95.7,158.7,ohc,four,62,31,6338

68,toyota,hatchback,95.7,158.7,ohc,four,62,31,6488

69,toyota,wagon,95.7,169.7,ohc,four,62,31,6918

70,toyota,wagon,95.7,169.7,ohc,four,62,27,7898

71,toyota,wagon,95.7,169.7,ohc,four,62,27,8778

79,toyota,wagon,104.5,187.8,dohc,six,156,19,15750

80,volkswagen,sedan,97.3,171.7,ohc,four,52,37,7775

81,volkswagen,sedan,97.3,171.7,ohc,four,85,27,7975

82,volkswagen,sedan,97.3,171.7,ohc,four,52,37,7995

86,volkswagen,sedan,97.3,171.7,ohc,four,100,26,9995

87,volvo,sedan,104.3,188.8,ohc,four,114,23,12940

88,volvo,wagon,104.3,188.8,ohc,four,114,23,13415

Assignment 2 of Python Programming II Requirements Deadline: submit to K2 system before 18th Feb, 2021. File format: Please submit"ipynb" file, not ".docx" file or ".py" file. File name: Please use your name as the file name. Question 1: read a data set from the given "Automobile data.csv" file and print out the first and last five rows separately. tips: pandas.read csv() function will be helpful. Question 2: Find the most expensive car's company name. Question 3: Sort all cars by the Price column. Question 4: Print All Toyota Cars details. Question 5: Count total cars per company. Question 6: Find the average mileage of each car making, tips: For Q5 and Q6, try to use groupby method of DataFrame for help. Question 7: Construct a 4x4 DataFrame using NumPy arrays as shown in the following figure and delete the fourth column. One Two Three Four a 0 1 2 3 b 4 5 6 7 8 9 10 11 d 12 13 14 15 Question 8: Select the data from the first row, second and third columns using either axis labels (loc) or integers (iloc). Question 9: Sort it by index from high to low and figure out the sum of each column. Question 10: Define a function f to find the maximum value of each row