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spiral_scan.py
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spiral_scan.py
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from __future__ import absolute_import
from __future__ import print_function, division
from math import *
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import *
import time
stepAngle = 0.25 * pi
phi = pi
maxSize = 50
step = 0.2 * maxSize
r = step
z = 0
IN = 0
OUT = 1
rDir = OUT
xvector = []
yvector = []
zvector = []
fig = plt.figure()
ax = fig.gca(projection='3d') # to work in 3d
#plt.axes([0, maxSize, 0, maxSize])
ax.set_xlim3d(0, maxSize)
ax.set_ylim3d(0, maxSize)
ax.set_zlim3d(0, maxSize)
ax.set_xlabel('X axis')
ax.set_ylabel('Y axis')
ax.set_zlabel('Z axis')
plt.ion()
plt.show()
ax.scatter(maxSize / 2, maxSize / 2, z, zdir='z', c= 'red')
plt.draw()
icolor = 0
epsilon = 0.001
while (z <= maxSize):
if r > maxSize / 2:
stepAngle = (stepAngle * r) / (r - step)
# stepAngle = (stepAngle * (r + step)) / r
r -= step
rDir = IN
else:
#stepAngle = (stepAngle * r) / (r + step)
stepAngle = 0.25 * pi
r = step
rDir = OUT
x = y = maxSize / 2
xvector.append(x)
yvector.append(y)
zvector.append(z)
if (icolor % 2 == 0):
ax.scatter(x, y, z, zdir='z', c= 'red')
else:
ax.scatter(x, y, z, zdir='z', c= 'blue')
plt.draw()
while ((r > step or abs(r - step) < epsilon) and (r < maxSize / 2 or abs(r - maxSize / 2) < epsilon)):
while (phi > -pi):
x = r * cos(phi) + maxSize / 2
y = r * sin(phi) + maxSize / 2
xvector.append(x)
yvector.append(y)
zvector.append(z)
if (icolor % 2 == 0):
ax.scatter(x, y, z, zdir='z', c= 'red')
else:
ax.scatter(x, y, z, zdir='z', c= 'blue')
plt.draw()
time.sleep(0.0000001)
phi -= stepAngle
print('B', icolor, stepAngle, r)
if (rDir == IN):
#stepAngle = (stepAngle * (2 * r + 2 * step)) / (2 * r)
if (abs(r - step) > epsilon):
stepAngle = (stepAngle * r) / (r - step)
r -= step
else:
#stepAngle = (stepAngle * 2 * r) / (2 * r + 2 * step)
stepAngle = (stepAngle * r) / (r + step)
r += step
print('A', icolor, stepAngle, r)
phi = pi
if (rDir == IN):
x = y = maxSize / 2
xvector.append(x)
yvector.append(y)
zvector.append(z)
if (icolor % 2 == 0):
ax.scatter(x, y, z, zdir='z', c= 'red')
else:
ax.scatter(x, y, z, zdir='z', c= 'blue')
plt.draw()
z += step
icolor += 1
plt.hold(True)
#plt.plot(xvector, yvector)
#plt.axis([- maxSize / 2, maxSize / 2, - maxSize / 2, maxSize / 2])
plt.show()