Question

File density.txtPreview the document contains a list of the density in grams per cubic centimeter of all the planets, plus Pluto. It looks like this: Mercury 5.43 Venus 5.25 Earth 5.52 Mars 3.83 Jupiter 1.33 Saturn 0.71 Uranus 1.24 Neptune 1.67 Pluto 2.05 Write a program named lastname_firstname_density.py that reads the numbers from the file into a list and then calculates and prints, properly labeled: The minimum density The maximum density The average density The median density (Hint: use split() to separate the planet name from the density.) You don’t need a list for the first three of these, but you do need a list to calculate the median. Finding the Median To find the median of a group of n numbers, sort them into order. (Hint: use Python’s sort method). If n is odd, the median is the middle entry. In a list named data this will be element data[(n ‑ 1) // 2]. Note the use of // to do integer division. If n is even, the median is the average of the numbers “surrounding” the middle. For a list named data, this is (data[(n // 2)] + data[(n // 2) ‑ 1]) / 2.0. Your program must work for a file with any number of entries. The file I am providing happens to have an odd number of entries, but if I gave you a similar file for the major moons of Saturn, it would have an even number of entries, and your program would still have to correctly calculate the statistics for that file.

Answer 1

Here is the completed code for this problem. Comments are included, go through it, learn how things work and let me know if you have any doubts or if you need anything to change. If you are satisfied with the solution, please rate the answer. If not, PLEASE let me know before you rate, I’ll help you fix whatever issues. Thanks

Note: Please maintain proper code spacing (indentation), just copy the code part and paste it in your compiler/IDE directly, no modifications required.

#code

# main method
def main():
    # opening density.txt file. change filename as you like. make sure file exist on the
    # same directory
    file = open('density.txt', 'r')
    # initializing an empty list
    data = []
    # and required variables
    min_density = 0
    max_density = 0
    sum_density = 0
    avg_density = 0
    median_density = 0
    # looping through each line in file
    for line in file:
        # splitting line by ' '
        fields = line.strip().split(' ')
        # ensuring that resultant list has length 2 (planet name and density)
        if len(fields) == 2:
            # parsing second value as density
            density = float(fields[1])
            # appending to list
            data.append(density)
            # if this is first entry, setting this as both min and max
            if len(data) == 1:
                min_density = density
                max_density = density
            else:
                # otherwise updating min and max if needed
                if density > max_density:
                    max_density = density
                if density < min_density:
                    min_density = density
            # adding this to sum
            sum_density += density
    # closing file
    file.close()
    # finding average if count>0
    if len(data) > 0:
        avg_density = sum_density / len(data)
    # sorting the list
    data.sort()
    # if number of elements in data is odd, choosing middle element as median
    if len(data) % 2 != 0:
        median_density = data[len(data) // 2]
    # otherwise finding average of middle two values
    else:
        median_density = (data[(len(data) // 2)] + data[(len(data) // 2) - 1]) / 2.0
    # printing all stats
    print('The minimum density:', min_density)
    print('The maximum density:', max_density)
    print('The average density:', avg_density)
    print('The median density:', median_density)


# calling main()
main()

#output

The minimum density: 0.71
The maximum density: 5.52
The average density: 3.003333333333333
The median density: 2.05

#code screenshot