Question

Starting out with python

Lists and Tuples - US Population Data

In this assignment, you will be reading the contents of a file into a list.

This file contains the midyear population of the United States, in thousands, during the years 1950 through 1990. The first line in the file contains the population for 1950, the second line contains the populations for 1951, and so forth.

You will ask the user to input a specific year to check the population on.

Your program will then read the file's contents into a list. The program should display the following data:

1. The population for the year the user-specified.

2. The average annual change in population during the time period.

3. The year with the greatest increase in population during the time period.

4. The year with the smallest increase in population during the time period.

US Population:

151868
153982
156393
158956
161884
165069
168088
171187
174149
177135
179979
182992
185771
188483
191141
193526
195576
197457
199399
201385
203984
206827
209284
211357
213342
215465
217563
219760
222095
224567
227225
229466
231664
233792
235825
237924
240133
242289
244499
246819
249623

Answer 1

path = "USPopulation.txt"

with open(path) as fp:

    population_list = list(map(int, fp.read().split()))

year = list(range(1950, 1991))

population_year = int(input("Input the Year: "))

if (population_year >= 1950 and population_year <= 1990):

    idx = year.index(population_year)

    print(f"The population for the year {population_year}.: ",population_list[idx])

else:

    print("INVALID")

change = []

for i in range(0,len(population_list)-1):

    change.append(population_list[i+1]-population_list[i])

total_elements_change = len(change)

print("The average annual change in population during the time period."+str(sum(change)/total_elements_change))

greatest_increase_pop = max(change)

greatest_increase_year = year[change.index(max(change))]

print("The year with the greatest increase in population during the time period."+str(greatest_increase_year))

smallest_increase_pop = min(change)

smallest_increase_year = year[change.index(min(change))]

print("The year with the smallest increase in population during the time period"+str(smallest_increase_year))

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