def __init__(self,*args,**kargs):
"""Setup the fitting code."""
super(working,self).__init__(*args,**kargs)
inifile=__file__.replace(".py",".ini")
tmp=cfg_data_from_ini(inifile,filename=False)
self._setas=tmp.setas.clone
self.column_headers=tmp.column_headers
self.metadata=tmp.metadata
self.data=tmp.data
self.vcol=self.find_col(self.setas["x"])
self.gcol=self.find_col(self.setas["y"])
self.filename=tmp.filename
model,p0=cfg_model_from_ini(inifile,data=self)
if python_v3:
config=ConfigParser.ConfigParser()
else:
config=ConfigParser.SafeConfigParser()
config.read(inifile)
self.config=config
#Some config variables we'll need later
self.show_plot=config.getboolean('Options', 'show_plot')
self.save_fit=config.getboolean('Options', 'save_fit')
self.report=config.getboolean('Options', 'print_report')
self.fancyresults=config.has_option("Options","fancy_result") and config.getboolean("Options","fancy_result")
self.method=config.get('Options','method')
self.model=model
self.p0=p0
def __init__(self, *args, **kargs):
"""Setup the fitting code."""
super(working, self).__init__(*args, **kargs)
inifile = __file__.replace(".py", ".ini")
tmp = cfg_data_from_ini(inifile, filename=False)
self._setas = tmp.setas.clone
self.column_headers = tmp.column_headers
self.metadata = tmp.metadata
self.data = tmp.data
self.vcol = self.find_col(self.setas["x"])
self.gcol = self.find_col(self.setas["y"])
self.filename = tmp.filename
model, p0 = cfg_model_from_ini(inifile, data=self)
if python_v3:
config = ConfigParser.ConfigParser()
else:
config = ConfigParser.SafeConfigParser()
config.read(inifile)
self.config = config
#Some config variables we'll need later
self.show_plot = config.getboolean('Options', 'show_plot')
self.save_fit = config.getboolean('Options', 'save_fit')
self.report = config.getboolean('Options', 'print_report')
self.fancyresults = config.has_option(
"Options", "fancy_result") and config.getboolean(
"Options", "fancy_result")
self.model = model
self.p0 = p0
"""Demo of new Stoner.Analysis.AnalyseFile.lmfit """ from __future__ import print_function from Stoner import __home__ from os.path import join from Stoner.Fit import cfg_data_from_ini, cfg_model_from_ini config = join(__home__, "..", "scripts", "PCAR-chi^2.ini") datafile = join(__home__, "..", "sample-data", "PCAR Co Data.csv") d = cfg_data_from_ini(config, datafile) model, p0 = cfg_model_from_ini(config, data=d) fit = d.lmfit(model, p0=p0, result=True, header="Fit", output="data") fit.plot(multiple="panels", capsize=3) fit.yscale = "log" # Adjust y scale for chi^2 fit.tight_layout()
"""Demo of new Stoner.Analysis.AnalyseFile.lmfit """ from __future__ import print_function from Stoner import __home__, Data from os.path import join from Stoner.Fit import cfg_data_from_ini, cfg_model_from_ini config = join(__home__, "..", "scripts", "PCAR-chi^2.ini") datafile = join(__home__, "..", "sample-data", "PCAR Co Data.csv") d = cfg_data_from_ini(config, datafile) model, p0 = cfg_model_from_ini(config, data=d) fit = d.lmfit(model, p0=p0, result=True, header="Fit", output="data") fit.plot(multiple="panels", capsize=3) fit.yscale = "log" # Adjust y scale for chi^2 fit.tight_layout()