def on_stop():
if not REAL_ROBOT:
code = checkoff.generate_code(globals())
if isinstance(code, bytes):
code = code.decode()
print("Hex Code for Tutor:\n%s" % code, file=sys.stderr)
p = PlotWindow()
p.plot(robot.probMeasures)
p.axes[0].set_ylim([0.0, 1.0])
def on_stop():
if not REAL_ROBOT:
code = checkoff.generate_code(globals())
if isinstance(code, bytes):
code = code.decode()
print("Hex Code for Tutor:\n%s" % code, file=sys.stderr)
p = PlotWindow()
p.plot(robot.probMeasures)
p.axes[0].set_ylim([0.0,1.0])
def plot(self, data):
t_samples, probe_samples = [], []
for t, solution in data.items():
# ensure that the probes are in the solved circuits
assert self._probe_plus in solution, ('+probe is disconnected from '
'circuit')
assert self._probe_minus in solution, ('-probe is disconnected from '
'circuit')
t_samples.append(t)
probe_samples.append(
solution[self._probe_plus] - solution[self._probe_minus])
probe_plot = PlotWindow('Probe voltage difference')
probe_plot.stem(t_samples, probe_samples)
def plot(self, data):
# motor angle
angle_plot = PlotWindow('Motor %s angle' % self._motor.label)
angle_plot.stem(T_SAMPLES, self._motor.angle_samples[:-1])
# motor speed
speed_plot = PlotWindow('Motor %s speed' % self._motor.label)
speed_plot.stem(T_SAMPLES, self._motor.speed_samples[:-1])
def plot(self, data):
t_samples, probe_samples = [], []
for t, solution in data.items():
# ensure that the probes are in the solved circuits
assert self._probe_plus in solution, (
'+probe is disconnected from '
'circuit')
assert self._probe_minus in solution, (
'-probe is disconnected from '
'circuit')
t_samples.append(t)
probe_samples.append(solution[self._probe_plus] -
solution[self._probe_minus])
probe_plot = PlotWindow('Probe voltage difference')
probe_plot.stem(t_samples, probe_samples)
def myPlot(s,title,y0,y1):
if nSamples>1:
samps = [s.sample(x) for x in xrange(nSamples)]
yy0 = min(samps)
yy1 = max(samps)
if float(yy1-y0)/float(y1-y0+.001)>0.9:
y1 = yy1
if float(y1-yy0)/float(y1-y0+.001)>0.9:
y0 = yy0
p = PlotWindow(title)
p.stem(range(nSamples),samps)
p.axis([0,nSamples,y0,y1])
add_window(p)
warning = str(title)+':'
for nn in range(nSamples):
warning += '{0:6.2f}'.format(s.sample(nn))
warn(warning)
def plot(self, data):
# motor angle
angle_plot = PlotWindow('Motor %s angle' % self._motor.label)
angle_plot.stem(T_SAMPLES, self._motor.angle_samples[:-1])
# motor speed
speed_plot = PlotWindow('Motor %s speed' % self._motor.label)
speed_plot.stem(T_SAMPLES, self._motor.speed_samples[:-1])
def plot(self, data):
# motor
if self._head_connector.motor_present:
self._head_connector.motor.label = self._head_connector.motor_label
Motor_Plotter(self._head_connector.motor).plot(data)
# lamp distance signal
if self._head_connector.lamp_distance_signal:
distance_plot = PlotWindow('Lamp %s distance' %
self._head_connector.photo_label)
distance_plot.stem(
T_SAMPLES,
self._head_connector.lamp_distance_signal.samples(
0, T, NUM_SAMPLES))
# lamp angle signal
if self._head_connector.lamp_angle_signal:
angle_plot = PlotWindow('Lamp %s angle' %
self._head_connector.photo_label)
angle_plot.stem(
T_SAMPLES,
self._head_connector.lamp_angle_signal.samples(
0, T, NUM_SAMPLES))
def plot(self, data):
# motor
if self._head_connector.motor_present:
self._head_connector.motor.label = self._head_connector.motor_label
Motor_Plotter(self._head_connector.motor).plot(data)
# lamp distance signal
if self._head_connector.lamp_distance_signal:
distance_plot = PlotWindow('Lamp %s distance' %
self._head_connector.photo_label)
distance_plot.stem(T_SAMPLES,
self._head_connector.lamp_distance_signal.samples(0, T, NUM_SAMPLES))
# lamp angle signal
if self._head_connector.lamp_angle_signal:
angle_plot = PlotWindow('Lamp %s angle' %
self._head_connector.photo_label)
angle_plot.stem(T_SAMPLES, self._head_connector.lamp_angle_signal.samples(
0, T, NUM_SAMPLES))
def myPlot(s, title, y0, y1):
if nSamples > 1:
samps = [s.sample(x) for x in xrange(nSamples)]
yy0 = min(samps)
yy1 = max(samps)
if float(yy1 - y0) / float(y1 - y0 + .001) > 0.9:
y1 = yy1
if float(y1 - yy0) / float(y1 - y0 + .001) > 0.9:
y0 = yy0
p = PlotWindow(title)
p.stem(range(nSamples), samps)
p.axis([0, nSamples, y0, y1])
add_window(p)
warning = str(title) + ':'
for nn in range(nSamples):
warning += '{0:6.2f}'.format(s.sample(nn))
warn(warning)
def plot(self, data):
alpha_plot = PlotWindow('Pot %s alpha' % self._pot.label)
alpha_plot.stem(T_SAMPLES, self._pot.signal.samples(0, T, NUM_SAMPLES))
def brainStop():
p = PlotWindow()
p.plot(robot.distance) # plot the list of distances
def brainStop():
p = PlotWindow()
p.plot(robot.distance) # plot the list of distances
def plot(self, data):
alpha_plot = PlotWindow('Pot %s alpha' % self._pot.label)
alpha_plot.stem(T_SAMPLES, self._pot.signal.samples(0, T, NUM_SAMPLES))
def brainStop():
p = PlotWindow('Slime Trail')
soarWorld.plotSoarWorld(PATH_TO_WORLD,p) #show the soar world
p.plot(robot.slimeX,robot.slimeY) #plot the recorded slime trail data
def brainStop():
p = PlotWindow()
p.plot(robot.probMeasures)
p.axes[0].set_ylim([0.0,1.0])
def brainStop():
p = PlotWindow('Slime Trail')
soarWorld.plotSoarWorld(PATH_TO_WORLD, p) #show the soar world
p.plot(robot.slimeX, robot.slimeY) #plot the recorded slime trail data
def stemplot(response):
PlotWindow().stem(range(len(response)), response)
def brainStop():
p = PlotWindow()
p.plot(robot.distance)
