Вы можете настроить этот ответ от Томмазо Ди Ното :
import matplotlib.pyplot as plt
import random
x_intercept = 7
y_intercept = 10
my_slope = 3
def find_second_point(slope,x0,y0):
# this function returns two points which belongs to the line that has the slope
# inserted by the user and that intercepts the point (x0,y0) inserted by the user
q = y0 - (slope*x0) # calculate q
new_x1 = x0 + random.randint(x0,x0+10)
new_y1 = (slope*new_x1) + q
new_x2 = x0 - random.randint(x0,x0+10)
new_y2 = (slope*new_x2) + q
return new_x1, new_y1, new_x2, new_y2
new_x1, new_y1,new_x2, new_y2 = find_second_point(my_slope , x_intercept, y_intercept )
def slope(x1, y1, x2, y2):
return (y2-y1)/(x2-x1)
print(slope(x_intercept,y_intercept, new_x1, new_y1))
plt.figure(1) # create new figure
plt.plot((new_x2, new_x1),(new_y2, new_y1), c='r', label='Segment')
plt.scatter(x_intercept, y_intercept, c='b', linewidths=3, label='Intercept')
plt.scatter(new_x1, new_y1, c='g', linewidths=3, label='New Point 1')
plt.scatter(new_x2, new_y2, c='cyan', linewidths=3, label='New Point 2')
plt.legend() # add legend to image
plt.show()
Вывод:
slope
3.0
введите описание изображения здесь