110 lines
3.2 KiB
Python
110 lines
3.2 KiB
Python
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# Task 1
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def task1():
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name = input("Enter your name here:")
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print(f"What's up {name}!")
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# Task 2
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def putinframe(text):
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l = len(text)
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print("-"*(l+6))
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print("‖"+" "*(l+4) + "‖")
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print("‖"+ " " + text + " "+ "‖")
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print("‖"+" "*(l+4) + "‖")
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print("-"*(l+6))
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def task2():
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name = input("Type your name:")
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putinframe(f"Have a lovely day {name}!")
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# Task 3
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def square_table(c1, c2, c3):
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t = "{:^10}|{:^10}|{:^10}|\n".format(c1[0],c2[0],c3[0])
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t += ("-"*len(t)+"\n")
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for n in range(1, len(c1)):
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t += ("{:^10}|{:^10}|{:^10}|\n".format(c1[n],c2[n],c3[n]))
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return(t)
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def task3():
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n_list = ["x"]
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sq_list = ["x²"]
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cube_list = ["x³"]
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for n in range(11):
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n_list.append(n)
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sq_list.append(n**2)
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cube_list.append(n**3)
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print(square_table(n_list, sq_list, cube_list))
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# task 4
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def district_table(data, head):
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# Formats the data into a nice table in a string
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t = "{:^25}|{:^10}|\n".format(head[0],head[1])
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t += ("-"*len(t)+"\n")
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for n,p in data.items():
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t += ("{:^25}|{:^10}|\n".format(n, p))
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return(t)
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def task4():
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with open('norway_municipalities_2017.csv') as f:
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# we will make a dict where the the kei is the district and the value the population
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d = {}
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# assume the csv file always has a header
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l_iter = iter(f)
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l_iter.__next__()
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for l in l_iter:
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# we get a list where 0 is the kommune name, 1 is what fylke it is in and 2 is the population
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ll = l.strip("\n").split(',')
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name = ll[1]
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if name in d.keys():
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d.update({name: d.get(name) + int(ll[2])})
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else:
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d.update({name: int(ll[2])})
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head = ["District", "Population"]
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res = {key: val for key, val in sorted(d.items(), key = lambda ele: ele[1], reverse=True)}
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print(district_table(res, head))
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# Task 5
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import matplotlib.pyplot as plt
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import numpy as np
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def task5():
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with open('norway_municipalities_2017.csv') as f:
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# we will make a dict where the the kei is the district and the value the population
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d = {}
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# assume the csv file always has a header
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l_iter = iter(f)
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l_iter.__next__()
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for l in l_iter:
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# we get a list where 0 is the kommune name, 1 is what fylke it is in and 2 is the population
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ll = l.strip("\n").split(',')
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name = ll[1]
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if name in d.keys():
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d.update({name: d.get(name) + int(ll[2])})
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else:
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d.update({name: int(ll[2])})
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head = ["District", "Population"]
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res = {key: val for key, val in sorted(d.items(), key = lambda ele: ele[1], reverse=True)}
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n = len(res.keys())
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x = 0.5 + np.arange(n)
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y = res.values()
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fig, ax = plt.subplots()
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ax.bar(res.keys(), y, edgecolor="white", linewidth=0.7)
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ax.set(xlabel=head[0], ylabel=head[1])
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plt.xticks(rotation = 90)
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plt.show()
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if __name__ == "__main__":
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print("Task 1:")
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task1()
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print("\nTask 2:")
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task2()
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print("\nTask 3:")
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task3()
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print("\nTask 4:")
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task4()
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print("\nTask 5:")
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task5()
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