KodyDom

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""
'''            ZADANIE 3
import random
import numpy as np
import matplotlib.pyplot as plt


tab = np.random.normal(50,20,(7,7))
tab1 =np.round(tab)



#count, bins, ignored = plt.hist(tab1, 30, density=True)
#plt.plot(bins, 1/(20 * np.sqrt(2 * np.pi)) *
#               np.exp( - (bins - 50)**2 / (2 * 20**2) ),
#         linewidth=3, color='r')
#plt.show()


#print("Wyznacznik: {}".format(np.linalg.det(tab1)))
#print("Slad: {}".format(np.trace(tab1)))
#print("Wartosci i wketory wlasne {}".format(np.linalg.eig(tab)))
#print("Wektory wlasne: {}".format(np.dot(tab1)))

#Elementy tablicy razy wektor
#print("Matrix Tab przemnzona przez wektor [1,2,3,4,5,6,7]\n{}".format(np.dot(tab1,[1,2,3,4,5,6,7])))

#RevTab = np.linalg.inv(tab1)     #Macierz odwrotna

#Przkątna macierzy do kwadratu
#print("Na przekatnej macierzy mamy:\n{}".format(np.square(np.diagonal(tab1))))

#print(np.linalg.svd(tab1))    <-- SVD macierzy
'''
'''
#Zadanie 7 , blad MSE

import numpy as np

#array_1 = np.arange(1000, dtype=np.float32)
array_1 = np.float32(np.random.normal((1000,1)))
array_1_export = array_1 * 1000

array_1_export.tofile('zad7.txt')

array_2_import = np.fromfile('zad7.txt',dtype=np.float32)
array_2 = array_2_import /1000

#print(array_2[:25])

ax=0
mse = (np.square(array_1 - array_2)).mean(axis=ax)
print("MSE: {}".format(mse))



#Zadanie 8
import numpy as np

matrix = np.random.rand(100,100)
array = np.empty((5,5,2),object)
array.fill(np.random.rand(100,100))

array = np.random.rand(5,5,2)
print(array)

'''
#Zadanie 9
import numpy as np
tab = np.random.rand(5,5)
tab1 = np.random.rand(5,5)

#print(np.diag(tab*tab1))   #Metoda 1