import fun_mac
A = fun_mac.random_randint_m(5, 5, 1)
B = fun_mac.make_m(5, 1, 0)
fun_mac.print_m(A)
print("")
fun_mac.print_m(B)
print("")
C = fun_mac.expand_m(A, B, 3)
fun_mac.print_m(C)
print("")
C = fun_mac.expand_m(C, B, 0)
fun_mac.print_m(C)
import fun_mac
A = fun_mac.random_randint_m(2, 50)
fun_mac.print_m(A)
print("")
fun_mac.print_m(fun_mac.negative_avr(A, False))
import fun_mac
A = fun_mac.random_uniform_m(5, 600)
As = fun_mac.statistic_m(A)
fun_mac.print_m(A)
print("")
fun_mac.print_m(As)
def kolor(x):
kolor = [None] * len(x)
for i in range(len(x)):
if x[i] == 0:
kolor[i] = "red"
else:
kolor[i] = "blue"
return kolor
Z = copy.deepcopy(C)
Z = transpozycja(Z)
plt.scatter(B[0], B[1], color=kolor(c))
import fun_mac
fun_mac.print_m(Z)
dupa = [None] * len(Z[0])
for i in range(len(Z[0])):
dupa[i] = (Z[0][i] - Z[0][0]) #* (Z[0][len(Z[0])-1]/6)
print(kolor(l))
plt.scatter(Z[0], dupa, marker=".", color=kolor(l), alpha="0.9")
plt.savefig("output.png", dpi=90)
#4 ocena jakości klasyfikatora
#4.6
T = []
f = open("test_wine.csv", "r")
for row in csv.reader(f):
for i in range(len(row)):
row[i] = float(row[i])
import fun_mac
A = fun_mac.random_randint_m(50, 2)
fun_mac.print_m(A)
print("")
fun_mac.print_m(fun_mac.negative_avr(A))
import fun_mac
A = fun_mac.random_uniform_m(5, 600, -50, 50)
V = fun_mac.average_vector_m(A)
#fun_mac.print_m(A, 4)
#print("")
fun_mac.print_m(fun_mac.expand_m(A, V, 0), 4)
import fun_mac
A = fun_mac.random_randint_m(50, 10, 0, 1)
fun_mac.standarization_m(A)
print(f"min: {fun_mac.min_m(A)}")
print(f"max: {fun_mac.max_m(A)}")
fun_mac.print_m(A, 3)
import fun_mac
n = int(input("Podaj wymiar:"))
m = fun_mac.make_m(n)
for i in range(len(m)):
for j in range(len(m[0])):
m[i][j] = 1 / ((i + 1) + (j + 1) - 1)
fun_mac.print_m(m, 4)
import fun_mac
A = fun_mac.make_m(3)
fun_mac.read_m(A, "magic_sq1.txt")
fun_mac.print_m(A)
print(fun_mac.is_magic_sq_m(A))
print("")
B = fun_mac.make_m(3)
fun_mac.read_m(B, "magic_sq2.txt")
fun_mac.print_m(B)
print(fun_mac.is_magic_sq_m(B))
print("")
C = fun_mac.make_m(7)
fun_mac.read_m(C, "magic_sq3.txt")
fun_mac.print_m(C, 6)
print(fun_mac.is_magic_sq_m(C))
print("")
0.2459 1.325 2.0259
"""
#sr_m[0] = [5, 3.4, 1.4, 0.25]
d = [[[0] * 50 for i in range(3)] for j in range(3)]
"""
d:
Sa takie 3:
0.14 0.44 0.41 ...
3.98 3.57 4.13 ...
5.23 4.13 5.26 ...
"""
for k in range(3):
for i in range(3):
for j in range(50):
d[k][i][j] = euk(t_sr_m[k], t_iris[i * 50 + j])
jaki_kwiat = [[None] * 50 for i in range(3)]
for k in range(3):
for j in range(50):
mini = math.inf
kwiat = None
for i in range(3):
if d[k][i][j] < mini:
mini = d[k][i][j]
jaki_kwiat[k][j] = i
fun_mac.print_m(jaki_kwiat)
#druk_do_pliku(iris, sr_m)
y = {"jabuszko", "gruszka"}
y2 = {"gruszka", "gruszka"}
print("jabuszko" in y)
print(y & y2)
print(y | y2)
print(y - y2)
print(y.issubset(y2))
print(y.issubset(y2|y))
import fun_mac as fm
#t = [ i**2 for i in range(10) if x % 2 == 1 ]
t = [ [i*j for i in range(10)] for j in range(10) ]
fm.print_m(t)
#dict comprehensions
s = { str(i%2):i**2 for i in range(7) }
print(s)
print(help(list))
krotka = 1,2,3,4
print(krotka)
print(4 in krotka)
print(krotka[-1])
napis = "123456789"
print("78" in napis)
import fun_mac x = [1, 2, 3] y = [[4, 5, 6]] #W = fun_mac.multiplication_m( x, fun_mac.transpose_m(y) ) #nie dziala, bo to wektorki,trzeba poprawic z portfolio W = fun_mac.multiplication_m(x, y) fun_mac.print_m(W)
def multiplication_m(A, k):
if str(type([[0], [0]])) == str(type(k)):
k = "macierz"
if str(type(3)) == str(type(k)) or str(type(3.3)) == str(type(k)):
B = [[None] * len(A[0]) for i in range(len(A))]
for i in range(len(A)):
for j in range(len(A[0])):
B[i][j] = A[i][j] * k
return B
else:
return None
import fun_mac
fun_mac.print_m(multiplication_m(fun_mac.make_m(5, 6, 1 / 5), 1 / 5), 4)
import fun_mac """ mac1 = fun_mac.make_m(3, 5) fun_mac.read_m(mac1) fun_mac.print_m(mac1, None, "inp.txt.txt") """ mac2 = fun_mac.make_m(5, 3) fun_mac.read_m(mac2) fun_mac.print_m(mac2, None, "inp.txt.txt")
return out
def proste(dane):
out = [[["b", "a"]] * len(dane) for i in range(len(dane))]
for i in range(len(out)):
for j in range(len(out[0])):
srx = srednia(dane[i])
sry = srednia(dane[j])
sum2 = 0
sumx = 0
for k in range(len(dane[i])):
sumx += (dane[i][k] - srx)**2
sum2 += (dane[i][k] - srx) * (dane[j][k] - sry)
out[i][j][0] = sum2 / sumx
out[i][j][1] = sry - out[i][j][0] * srx
return out
t = wczytanie()
druk_do_pliku(t)
"""
fun_mac.print_m(mac_kor(t), 6)
print("")
fun_mac.print_m(proste(t))
"""
def diagonal_matrix(A):
if len(A) != len(A[0]): return None
d = [None] * len(A)
for i in range(len(A)):
d[i] = A[i][i]
return d
import fun_mac
mat = fun_mac.make_m(5, 5, 3)
rand = fun_mac.random_randint_m(5)
fun_mac.print_m(mat)
print("")
fun_mac.print_m(rand)
print("")
print(diagonal_matrix(mat))
print("")
print(diagonal_matrix(rand))
import fun_mac
A = fun_mac.random_randint_m(5, 6, 0)
fun_mac.print_m(A)
print("")
D = fun_mac.delete_r_c_m(A, 3, 2)
fun_mac.print_m(D)
print("\n\n")
W = fun_mac.make_m(8, 7)
fun_mac.read_m(W, "inp.txt")
fun_mac.print_m(W)
print("")
fun_mac.print_m(fun_mac.delete_r_c_m(W, 5, 4))