Package diffpy :: Package srrietveld :: Package addon :: Module mcsampling :: Class MonteCarloSampling

Class MonteCarloSampling

Monte Carlo Sampling for diffraction pattern.

Instance Methods

__init__(self, fit, snum, stype='Normal')
Initialization. source code

addSampleData(self)
Convert data file if neccessary.

source code

genSamplingFromchi(self, fullpath, newfullpath, bankid, num, dfc)
Sampling num of times based on distribution and save the new datafile in newfullpath.

source code

genSamplingFromtimemap(self, fullpath, newfullpath, bankid, num, dfc, expfilepath)
Sampling num of times based on distribution and save the new datafile in newfullpath.

source code

genSamplingFromxye(self, fullpath, newfullpath, bankid, num, dfc)
Sampling num of times based on distribution and save the new datafile in newfullpath.

source code

getEngine(self)
Get engine type from fit object.

source code

Method Details

init(self, fit, snum, stype=`'Normal'`)
(Constructor)

source code

Initialization.

fit --- a diffpy.refinementdata.Refinement object that stores a fit with only one pattern snum --- number of samplings stype --- type of sampling distribution

Class MonteCarloSampling

__init__(self, fit, snum, stype='Normal') (Constructor)

init(self, fit, snum, stype=`'Normal'`)
(Constructor)