Public Member Functions | |
def | __init__ (self, func, method='auto') |
def | __del__ (self) |
def | set_data (self, wks, x, y, yerr='', xerr='', z='') |
def | set_mdata (self, ms, z) |
def | set_range (self, rg) |
def | fix_param (self, p, val) |
def | set_param (self, p, val) |
def | param_box (self) |
def | fit (self, iter='') |
def | result (self) |
def | report (self, autoupdate=False) |
Public Attributes | |
func | |
class for performing Non-Linear Curve Fitting with Origin's internal fitting engine The name of the fitting function already defined inside Origin must be provided to use this class
def originpro.analysis.NLFit.fit | ( | self, | |
iter = '' |
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) |
iterate the fitting engine Parameters: iter (str or int): empty will iterate until converge, otherwise to specify the number of iterations
def originpro.analysis.NLFit.fix_param | ( | self, | |
p, | |||
val | |||
) |
fix a parameter to a value or to turn off the fixing Parameters: p(str): name of a parameter val(bool or float or int): use False to turn of parameter fixing, or specify a value to fix it to Examples: model.fix_param('y0', 0) model.fix_param('xc', False)
def originpro.analysis.NLFit.param_box | ( | self | ) |
open a modal dialog box to control fitting parameters and iterations. You can click the minimize button on the parameters dialog to manipulate the graph like zooming in, or use screen reader etc. Must still call fit() after. Examples: model = op.NLFit('Gauss') model.set_data(wks, 0, 1) model.param_box() model.fit() rr=model.result()
def originpro.analysis.NLFit.report | ( | self, | |
autoupdate = False |
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) |
you need to end the fitting by either calling result or report Parameters: autoupdate(bool): setup recalculation on the report or not Returns: (tuple): range strings of the report sheet and the fitted curves Example: model.fit() r, c = model.report() Report=op.find_sheet('w', r) Curves=op.find_sheet('w', c) print(Report) print(Curves.shape)
def originpro.analysis.NLFit.result | ( | self | ) |
you need to end the fitting by either calling result or report. If you need both, you need to call report first. Return: (dict) fitting parameters and statistics from the fit
def originpro.analysis.NLFit.set_data | ( | self, | |
wks, | |||
x, | |||
y, | |||
yerr = '' , |
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xerr = '' , |
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z = '' |
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) |
set the XY data with optional error bar column, or XYZ data
def originpro.analysis.NLFit.set_mdata | ( | self, | |
ms, | |||
z | |||
) |
set the Matrix data
def originpro.analysis.NLFit.set_param | ( | self, | |
p, | |||
val | |||
) |
set a parameter value before fitting Examples: model.set_param('xc', 0.5)
def originpro.analysis.NLFit.set_range | ( | self, | |
rg | |||
) |
set data as range string