def splinteractive(xdata,
ydata,
smoothing=5000,
degree=5,
presmoothing=0,
spline_class=spline_single,
xlabel="x",
ylabel="y",
show_derivative=1,
boost_factor=1.1,
xmin="same",
xmax="same"):
"""
Give this function x and y data to spline fit and it will fit it, returning an instance of
spline_single. It will also ask you if it's okay and you can play with parameters.
"""
while True:
# fit it
x_spline = spline_class(xdata,
ydata,
smoothing,
degree,
presmoothing,
True,
xlabel,
ylabel,
show_derivative,
xmin=xmin,
xmax=xmax)
# ask if it's okay
if x_spline.message == "": command = raw_input("What now? ")
else: command = x_spline.message
try:
float(command)
command = "s=" + command
except:
print "parsing..."
# deal with simple commands
if command in ["y", "Y", "yes"]:
x_spline.message = "good"
smoothing = x_spline.smoothing
return x_spline
elif command in ["n", "N", "no"]:
x_spline.message = "no"
smoothing = x_spline.smoothing
return x_spline
elif command in ["q", "Q", "quit", "exit"]:
x_spline.message = "quit"
smoothing = x_spline.smoothing
return x_spline
elif command in ["l", "L", "line"]:
x_spline.message = "line"
smoothing = x_spline.smoothing
x_spline.plot()
raw_input("(press <enter> when done looking)")
elif command in ["d", "D", "derivative", "\n"]:
x_spline.message = "derivative"
smoothing = x_spline.smoothing
x_spline.plot(derivative=1)
raw_input("(press <enter> when done looking)")
elif command in ["dd", "DD"]:
x_spline.message = "derivative 2"
x_spline.plot(derivative=2)
smoothing = x_spline.smoothing
raw_input("(press <enter> when done looking)")
elif command in ["p", "P", "print", "printer"]:
x_spline.message = "print"
smoothing = x_spline.smoothing
_s.printer()
elif command == "[":
x_spline.message = "unboost smoothing"
smoothing = smoothing / boost_factor
elif command == "]":
x_spline.message = "boost smoothing"
smoothing = smoothing * boost_factor
# deal with parameter changes
elif command.split("=")[0].strip() in ["s", "smoothing"]:
try:
smoothing = eval(command.split("=")[1].strip())
except:
print "Surely you can give me a better number than THAT piece of shit."
elif command.split("=")[0].strip() in ["d", "degree"]:
try:
degree = int(eval(command.split("=")[1].strip()))
except:
print "Nice try, ass. Learn how to enter data."
elif command.split("=")[0].strip() in ["p", "pre", "presmoothing"]:
try:
presmoothing = int(eval(command.split("=")[1].strip()))
except:
print "Nice work. Yeah, not really."
elif command.split("=")[0].strip() in ["b", "boost"]:
try:
boost_factor = float(eval(command.split("=")[1].strip()))
except:
print "Nice try smelly fart."
# idiot at the controls
else:
print "You need help.\n"
print "------- COMMAND EXAMPLES -------\n"
print "y Yes, it looks good, move on."
print "n No, and there's no hope. Ignore and move on."
print "q Quit."
print "s=1000 Set the smoothing to 10"
print "d=3 Set the degree to 3"
print "p=5 Set the presmoothing to 5"
print "l Show me the spline without data"
print "d Show me the derivative"
print "] Boost the smoothing"
print "[ Reduce the smoothing"
print "b=1.2 Set the boost factor to 1.2"
smoothing = x_spline.smoothing
def splinteractive(xdata, ydata, smoothing=5000, degree=5, presmoothing=0, spline_class=spline_single, xlabel="x", ylabel="y", show_derivative=1, boost_factor=1.1, xmin="same", xmax="same"):
"""
Give this function x and y data to spline fit and it will fit it, returning an instance of
spline_single. It will also ask you if it's okay and you can play with parameters.
"""
while True:
# fit it
x_spline = spline_class(xdata, ydata, smoothing, degree, presmoothing, True, xlabel, ylabel, show_derivative, xmin=xmin, xmax=xmax)
# ask if it's okay
if x_spline.message == "": command = input("What now? ")
else: command = x_spline.message
try:
float(command)
command = "s="+command
except:
print("parsing...")
# deal with simple commands
if command in ["y", "Y", "yes"]:
x_spline.message = "good"
smoothing = x_spline.smoothing
return x_spline
elif command in ["n", "N", "no"]:
x_spline.message = "no"
smoothing = x_spline.smoothing
return x_spline
elif command in ["q", "Q", "quit", "exit"]:
x_spline.message = "quit"
smoothing = x_spline.smoothing
return x_spline
elif command in ["l", "L", "line"]:
x_spline.message = "line"
smoothing = x_spline.smoothing
x_spline.plot()
input("(press <enter> when done looking)")
elif command in ["d", "D", "derivative", "\n"]:
x_spline.message = "derivative"
smoothing = x_spline.smoothing
x_spline.plot(derivative=1)
input("(press <enter> when done looking)")
elif command in ["dd", "DD"]:
x_spline.message = "derivative 2"
x_spline.plot(derivative=2)
smoothing = x_spline.smoothing
input("(press <enter> when done looking)")
elif command in ["p", "P", "print", "printer"]:
x_spline.message = "print"
smoothing = x_spline.smoothing
_s.printer()
elif command == "[":
x_spline.message = "unboost smoothing"
smoothing = smoothing / boost_factor
elif command == "]":
x_spline.message = "boost smoothing"
smoothing = smoothing * boost_factor
# deal with parameter changes
elif command.split("=")[0].strip() in ["s", "smoothing"]:
try: smoothing = eval(command.split("=")[1].strip())
except: print("Surely you can give me a better number than THAT piece of shit.")
elif command.split("=")[0].strip() in ["d", "degree"]:
try: degree = int(eval(command.split("=")[1].strip()))
except: print("Nice try, ass. Learn how to enter data.")
elif command.split("=")[0].strip() in ["p", "pre", "presmoothing"]:
try: presmoothing = int(eval(command.split("=")[1].strip()))
except: print("Nice work. Yeah, not really.")
elif command.split("=")[0].strip() in ["b", "boost"]:
try: boost_factor = float(eval(command.split("=")[1].strip()))
except: print("Nice try smelly fart.")
# idiot at the controls
else:
print("You need help.\n")
print("------- COMMAND EXAMPLES -------\n")
print("y Yes, it looks good, move on.")
print("n No, and there's no hope. Ignore and move on.")
print("q Quit.")
print("s=1000 Set the smoothing to 10")
print("d=3 Set the degree to 3")
print("p=5 Set the presmoothing to 5")
print("l Show me the spline without data")
print("d Show me the derivative")
print("] Boost the smoothing")
print("[ Reduce the smoothing")
print("b=1.2 Set the boost factor to 1.2")
smoothing = x_spline.smoothing
return return_value
elif clower in ['t', 'transfer']:
if fit_parameters==None or fit_errors==None:
print "\nERROR: Nothing to transfer!"
else:
for n in range(len(fit_parameters)):
self.p0[n] = fit_parameters[n]
elif clower in ['n', 'no', 'next']:
return {'command':'n','settings':settings}
elif clower in ['p', 'print']:
_s.printer()
hold_plot = True
elif clower in ['zo', 'zoomout']:
# if we haven't set the min and max yet, use the axes bounds.
if not settings['min']:
settings['min'] = []
for a in axes1s: settings['min'].append(a.get_xlim()[0])
if not settings['max']:
settings['max'] = []
for a in axes1s: settings['max'].append(a.get_xlim()[1])
x0 = _n.array(settings['min'])
x1 = _n.array(settings['max'])
xc = 0.5*(x0+x1)
