def load_spline_array(path=None, text="Give me a spline array to load, jerkface! No, YOU'RE the jerkface."):
a = _s.load_object(path, text)
b = copy_spline_array(a)
b._path = a._path
_s.save_object(b, b._path)
return b
def generate_spline_array(data, y_parameter="field", smoothing=5000, degree=5, presmoothing=0, coarsen=0, autosave=True, show_derivative=1, text="Give me some files to make a spline with.", simple=0):
"""
Asks for a bunch of data files, plots and spline-fits the data (verifying at each step),
and generates a spline_2d object instance filled with the results.
"""
# create an instance of the spline_2d class
s = spline_array()
s.ylabel = y_parameter
# have the user select a file
paths = _s.DialogMultipleFiles('DIS AND DAT|*.dat', text=text, default_directory=data.directory)
if paths == []: return
# loop over each data file, fit it, plot it, ask if it's okay, and move on
for n in range(0,len(paths)):
print("spline "+str(n+1)+"/"+str(len(paths)+1))
# fill up the xdata, ydata, and key
data.get_data(paths[n])
print("y_parameter = "+str(data.constants[y_parameter]))
# if this is just a simple interpolator, make a simple one
if simple:
x_spline = spline_single(data.xdata, data.ydata, plot=True, xlabel=data.xlabel, ylabel=data.ylabel, xmin="same", xmax="same", simple=1)
a = input("ya: ")
if a in ["quit", "q"]: return s
if a in ["y", "yes", "\n"]: s.add_x_spline(data.constants[y_parameter], x_spline)
# otherwise, we have to do the whole spline plot/fitting thingy
else:
data.plot(coarsen=coarsen)
x_spline = splot("gca", smoothing, degree, presmoothing, interactive=True, show_derivative=show_derivative, simple=simple)
if x_spline.message == "quit": return s
if x_spline.message == "good": s.add_x_spline(data.constants[y_parameter], x_spline)
s.xlabel = x_spline.xlabel
s.zlabel = x_spline.ylabel
# update the parameters as specified by the user
presmoothing = x_spline.presmoothing
smoothing = x_spline.smoothing
degree = x_spline.degree
print("Complete! "+str(len(paths))+" file and "+str(len(s.x_splines))+" successful splines.")
s.simple = simple
if autosave: _s.save_object(s)
return s
def load_spline_array(
path="ask",
text="Give me a spline array to load, jerkface! No, YOU'RE the jerkface."
):
a = _s.load_object(path, text)
b = copy_spline_array(a)
b._path = a._path
_s.save_object(b, b._path)
return b
def generate_spline_array(data,
y_parameter="field",
smoothing=5000,
degree=5,
presmoothing=0,
coarsen=0,
autosave=True,
show_derivative=1,
text="Give me some files to make a spline with.",
simple=0):
"""
Asks for a bunch of data files, plots and spline-fits the data (verifying at each step),
and generates a spline_2d object instance filled with the results.
"""
# create an instance of the spline_2d class
s = spline_array()
s.ylabel = y_parameter
# have the user select a file
paths = _s.DialogMultipleFiles('DIS AND DAT|*.dat',
text=text,
default_directory=data.directory)
if paths == []: return
# loop over each data file, fit it, plot it, ask if it's okay, and move on
for n in range(0, len(paths)):
print "spline " + str(n + 1) + "/" + str(len(paths) + 1)
# fill up the xdata, ydata, and key
data.get_data(paths[n])
print "y_parameter = " + str(data.constants[y_parameter])
# if this is just a simple interpolator, make a simple one
if simple:
x_spline = spline_single(data.xdata,
data.ydata,
plot=True,
xlabel=data.xlabel,
ylabel=data.ylabel,
xmin="same",
xmax="same",
simple=1)
a = raw_input("ya: ")
if a in ["quit", "q"]: return s
if a in ["y", "yes", "\n"]:
s.add_x_spline(data.constants[y_parameter], x_spline)
# otherwise, we have to do the whole spline plot/fitting thingy
else:
data.plot(coarsen=coarsen)
x_spline = splot("gca",
smoothing,
degree,
presmoothing,
interactive=True,
show_derivative=show_derivative,
simple=simple)
if x_spline.message == "quit": return s
if x_spline.message == "good":
s.add_x_spline(data.constants[y_parameter], x_spline)
s.xlabel = x_spline.xlabel
s.zlabel = x_spline.ylabel
# update the parameters as specified by the user
presmoothing = x_spline.presmoothing
smoothing = x_spline.smoothing
degree = x_spline.degree
print "Complete! " + str(len(paths)) + " file and " + str(len(
s.x_splines)) + " successful splines."
s.simple = simple
if autosave: _s.save_object(s)
return s