RT-AI-1

'''
Task 1.3

x = 5 >= 2
A = {1,3,7,8}
B = {2,5,4,10, 'apple'}
C = A & B
df  = 'Nicolas Coppolo', 34, 'g'
z = 'type'
D = ['1', 'title', 2, 'content']

print(type(x),
    type(A),
    type(B),
    type(C),
    type(df),
    type(z),
    type(D), sep='\n')


Task 2.3
def interval(num):
    if num < -5: return f'{num} is in interval: (-inf, -5)'
    elif num > 5: return f'{num} is in interval: (5, +inf)'
    elif num in range(-5, 6): return f'{num} is in interval: (-5, 5)'


def main():
    x = int(input('Enter a number: '))
    print(interval(x))

if __name__ == '__main__':
    main()



Task 3.3.1
x = 10
while x > 0:
    print(x)
    x -= 3



Task 3.3.2
# position = должность
list_of_characteristics = ['age', 'sex', 'height',
                            'weight', 'position']

for characteristic in list_of_characteristics:
    print(characteristic)



Task 3.3.3
list_of_digits = list(range(2, 16))
print(list_of_digits)



Task 3.3.4
for i in range(105, 0, -25):
    print(i)



Task 3.3.5
# [0,1,2,3,4,5,6,7,8,9] ---> [8,1,6,3,4,5,2,7,0,9]

def swap(digits):
    digits[0::2] = reversed(digits[0::2])
    return digits

test = [0,1,2,3,4,5,6,7,8,9]
print(swap(test))



Task 4.3.1
import random
from matplotlib import pyplot as plt
array_of_rands = [random.uniform(0, 1) for _ in range(10)]

average = sum(array_of_rands)/len(array_of_rands)

sorted_array = sorted(array_of_rands)

median = (sorted_array[4]+sorted_array[5])/2

print(f'Array: {array_of_rands}',
    f'Average value: {average}',
    f'Median value: {median}')
plt.scatter(array_of_rands, array_of_rands)
plt.gca().set(xlim=(0, 1), ylim=(0, 1))
plt.show()



Task 4.3.2
import math
from matplotlib import pyplot as plt


def calc_func(x):
    form_1 = math.sqrt(1+math.exp(math.sqrt(x)) + (math.cos(x))**2)
    form_2 = abs((1-(math.sin(x))**3))
    form_3 = math.log(2*x)

    return form_1/form_2 + form_3

x_digits = list(range(1,11))

calc_result = [calc_func(x) for x in x_digits]

print(calc_result)
plot 1
plt.subplot(2, 2, 1)
plt.plot(x_digits, calc_result)


plot 2
plt.subplot(2, 2, 2)
plt.scatter(x_digits[:5], calc_result[:5])



plt.show()



Task 4.3.3

from matplotlib import pyplot as plt
from scipy.integrate import simps
import numpy as np

x = np.arange(0, 10, 1)
y = np.abs(np.cos(x*np.exp(np.cos(x) + np.log(x+1))))

plt.grid()
plt.plot(x, y, c='r')
plt.fill_between(x, y)
plt.show()

area = np.trapz(y)
print(area)



Task 4.3.4
from matplotlib import pyplot as plt

month = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'June', 'July', 'Aug', 'Sept', 'Oct', 'Nov', 'Dec']

microsoft = [231.96, 232.38, 235.77, 252.18, 249.68, 270.90, 284.91, 301.88, 281.92, 331.62, 330.59, 336.32]

google =  [131.96, 121.26, 122.15, 131.46, 124.61, 136.96, 145.86, 151.83, 141.50, 149.80, 165.30, 177.57]

apple =  [91.37, 101.10, 103.13, 117.68, 117.84, 122.09, 134.73, 144.70, 133.68, 148.05, 141.90, 144.85]

fig, ax = plt.subplots()


ax.plot(month, microsoft, label='Microsoft')
ax.plot(month, apple, label='Apple')
ax.plot(month, google, label='Google')

ax.legend()

fig.set_figheight(5)
fig.set_figwidth(8)

plt.show()


Task 4.3.5
import math
commands = {'+': lambda x, y: x+y,
            '-': lambda x, y: x-y,
            '*': lambda x, y: x*y,
            '%': lambda x, y: x/y,
            'e': lambda x, y: math.exp(x+y),
            'sin': lambda x, y: math.sin(x+y),
            'cos': lambda x, y: math.cos(x+y),
            'pow': lambda x, y: x**y}


def main():
    print(*['Plus: +', 'Minus: -', 'Multiply: *', 'Divide: %', 'Exponential: e', 'Sin: sin', 'Cos: cos', 'Pow: pow'], sep='\n')
    print('---------')
    expression = input('Choose one of these operands: ')
    x, y = map(int, input('Now write two numbers: ').split())

    return commands[expression](x, y)


if __name__ == '__main__':
    print(main())


'''