def gnuplot(self, cmd=arch.GNUPLOT_CMD, terminal=arch.GNUPLOT_TERMINAL, output=arch.GNUPLOT_OUTPUT, title=None):
"""Plot rpm vs. torque and rpm vs. power using gnuplot.
Optional arguments are:
terminal: gnuplot terminal
output: gnuplot output
cmd: gnuplot command
"""
gnuplot.plot([self.torque(), self.hp()], ["Torque", "Power"], terminal, output, cmd, title=title)
def gnuplot_manual(self, evt = None):
dlg = self.GnuplotDialog(self, -1)
if dlg.ShowModal() == wx.ID_OK:
data = []
label= []
for i in dlg.selected:
data.append(self.runs[i].torque())
data.append(self.runs[i].hp())
label.append("Torque %d" % i)
label.append("Power %d" % i)
if len(data) > 0:
gnuplot.plot(data, terminal = arch.GNUPLOT_TERMINAL,
output = arch.GNUPLOT_OUTPUT, labels = label)
def gnuplot_manual(self, evt=None):
dlg = self.GnuplotDialog(self, -1)
if dlg.ShowModal() == wx.ID_OK:
data = []
label = []
for i in dlg.selected:
data.append(self.runs[i].torque())
data.append(self.runs[i].hp())
label.append("Torque %d" % i)
label.append("Power %d" % i)
if len(data) > 0:
gnuplot.plot(data,
terminal=arch.GNUPLOT_TERMINAL,
output=arch.GNUPLOT_OUTPUT,
labels=label)
def gnuplot(self,
cmd=arch.GNUPLOT_CMD,
terminal=arch.GNUPLOT_TERMINAL,
output=arch.GNUPLOT_OUTPUT,
title=None):
"""Plot rpm vs. torque and rpm vs. power using gnuplot.
Optional arguments are:
terminal: gnuplot terminal
output: gnuplot output
cmd: gnuplot command
"""
gnuplot.plot([self.torque(), self.hp()], ["Torque", "Power"],
terminal,
output,
cmd,
title=title)
return points
if __name__ == "__main__":
import random, math
points = []
real = []
for i in range(1, 1000):
p = (math.sin(i / float(50)) * 200 + i)
real.append((i, p))
points.append((i, p + (random.random() - 0.5) * 400))
import gnuplot, time
one = NNA(points)
gnuplot.plot([points, real, one],
terminal="x11",
labels=["Raw Data", "Real Curve", "Fit Curve"],
output="1.png")
time.sleep(3)
two = box(points)
gnuplot.plot([points, real, two],
terminal="x11",
labels=["Raw Data", "Real Curve", "Fit Curve"],
output="2.png")
time.sleep(3)
three = RunningAverage(points)
gnuplot.plot([points, real, three],
terminal="x11",
labels=["Raw Data", "Real Curve", "Fit Curve"],
output="3.png")
time.sleep(3)
four = SavGol(points)
def plot( self ):
gnuplot.plot( self.gnuplotL )
points.append( (data[i][0], values[i]) )
return points
if __name__ == "__main__":
import random, math
points = []
real = []
for i in range(1,1000):
p = (math.sin(i/float(50)) * 200+i)
real.append( (i, p) )
points.append( (i, p + (random.random()-0.5)*400 ) )
import gnuplot, time
one = NNA(points)
gnuplot.plot([points, real, one],
terminal = "x11",
labels = ["Raw Data", "Real Curve", "Fit Curve"],
output = "1.png");time.sleep(3)
two = box(points)
gnuplot.plot([points, real, two],
terminal = "x11",
labels = ["Raw Data", "Real Curve", "Fit Curve"],
output = "2.png");time.sleep(3)
three = RunningAverage(points)
gnuplot.plot([points,real, three],
terminal = "x11",
labels = ["Raw Data", "Real Curve", "Fit Curve"],
output = "3.png");time.sleep(3)
four = SavGol(points)
gnuplot.plot([points,real, four],
terminal = "x11",
labels = ["Raw Data", "Real Curve", "Fit Curve"],
def go():
dl = datalog("homie.csv", 0, 1, 5)
h = histogram(dl.RPM_data(), boxsize=2)
gnuplot.plot([h])
def histogram_plot(evt=None):
d = data.RPM_data()
bs = self.hist_slider.GetValue()
h = histogram(d, boxsize=bs)
gnuplot.plot([h])
def plot(self):
gnuplot.plot(self.gnuplotL)
def go():
dl =datalog("homie.csv", 0, 1, 5)
h = histogram(dl.RPM_data(), boxsize=2)
gnuplot.plot([h])
def histogram_plot(evt = None):
d = data.RPM_data()
bs = self.hist_slider.GetValue()
h = histogram(d, boxsize = bs)
gnuplot.plot([h])