Rysunek koła point
import numpy as np
import matplotlib.pyplot as plt
### Data input
x_cent = int(input("Enter x-coordinates of the center: "))
y_cent = int(input("Enter y-coordinates of the center: "))
r = int(input("Enter the radius of the circle: "))
#### Mid-Point Circle Drawing Algorithm ####
### Initializations
x_quad1 = []
y_quad1 = []
decor = []
### Step 01
x_init = 0
y_init = r
### Step 02
decision_parameter = 1 - r
### Step 03: First octant
x = x_init
y = y_init
p = decision_parameter
while(x < y):
x_quad1.append(x)
y_quad1.append(y)
if p < 0:
x += 1
p += 1 + 2 * x
else:
x += 1
y -= 1
p += 1 - 2 * y + 2 * x
# append the final point
x_quad1.append(x)
y_quad1.append(y)
# append the second octant to the first quadrant
for i in range(len(x_quad1)):
x_quad1.append(y_quad1[i])
y_quad1.append(x_quad1[i])
# Second Quadrant, WRT center coordinates
x_quad2 = [(x_cent - x) for x in x_quad1]
y_quad2 = [(y_cent + y) for y in y_quad1]
# Third Quadrant, WRT center coordinates
x_quad3 = [(x_cent - x) for x in x_quad1]
y_quad3 = [(y_cent - y) for y in y_quad1]
# Fourth Quadrant, WRT center coordinates
x_quad4 = [(x_cent + x) for x in x_quad1]
y_quad4 = [(y_cent - y) for y in y_quad1]
# First Quadrant, WRT center coordinates
x_quad1 = [(x_cent + x) for x in x_quad1]
y_quad1 = [(y_cent + y) for y in y_quad1]
# transform coordinates into a numpy array and print them out
x_quad1 = np.array(x_quad1, dtype = int)
y_quad1 = np.array(y_quad1, dtype = int)
x_quad2 = np.array(x_quad2, dtype = int)
y_quad2 = np.array(y_quad2, dtype = int)
x_quad3 = np.array(x_quad3, dtype = int)
y_quad3 = np.array(y_quad3, dtype = int)
x_quad4 = np.array(x_quad4, dtype = int)
y_quad4 = np.array(y_quad4, dtype = int)
print(np.vstack((x_quad1, y_quad1, x_quad2, y_quad2,
x_quad3, y_quad3, x_quad4, y_quad4)).T)
### Step 04
fig = plt.figure()
ax = fig.add_subplot(111)
plt.plot(x_quad1, y_quad1, x_quad2, y_quad2, x_quad3, y_quad3, x_quad4, y_quad4)
ax.set_aspect('equal', adjustable='box')
plt.title("Bresenham Circle Drawing Algorithm")
plt.xlabel("x-axis")
plt.ylabel("y-axis")
plt.show()
Goofy Sherlock