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@paulfears/

linear regression tkinter

Tkinter

quick bit of cs homework

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Files
  • main.py
  • graphics.py
  • nohup.out
main.py
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'linear_regression.py'
'draw a line of best fit through a bunch of points'

__author__ = 'paul fears'
__date__ = '12/4/2019'
from graphics import *


def main():
  print("making sure")
  win = GraphWin("data thing",500, 500)
  done = Rectangle(Point(0,0), Point(50, 50))
  done.draw(win)
  text = Text(Point(25,25), "done")
  text.draw(win)
  points = []


  while True:
    click = win.getMouse()
    if(click.getX()<50 and click.getX()>0):
      if(click.getY()<50 and click.getY()>0):
        break
    points.append(click)
    Circle(click, 5).draw(win)
  print("done clicked")
  ys = list(map(lambda point: point.getY(), points))
  xs = list(map(lambda point: point.getX(), points))
  length = len(points)
  x_avg = sum(xs)/length
  y_avg = sum(ys)/length
  top_sum = 0
  bottom_sum = 0
  top_sum = sum([p.getX()*p.getY() for p in points])-(length*x_avg*y_avg)
  bottom_sum = sum(map(lambda x: x**2, xs))-(length*x_avg**2)
  m = top_sum/bottom_sum
  equ = lambda x: y_avg+(m*(x-x_avg))
  p1 = Point(0, equ(0))
  p2 = Point(500, equ(500))
  Line(p1,p2).draw(win)


  win.getMouse()
  

if __name__ == '__main__':
  main()


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