def __init__(self, parent, name=None):
FunctionPlotter.__init__(self, parent, name=name)
if type(self) == Fit:
self.readDefaults()
self.addAction( widget.Action('fit', self.actionFit,
descr = _('Fit function'),
usertext = _('Fit function')) )
def addSettings(klass, s):
"""Construct list of settings."""
FunctionPlotter.addSettings(s)
s.add( setting.FloatDict('values',
{'a': 0.0, 'b': 1.0},
descr = _('Variables and fit values'),
usertext=_('Parameters')), 1 )
s.add( setting.Dataset('xData', 'x',
descr = _('Variable containing x data to fit'),
usertext=_('X dataset')), 2 )
s.add( setting.Dataset('yData', 'y',
descr = _('Variable containing y data to fit'),
usertext=_('Y dataset')), 3 )
s.add( setting.Bool('fitRange', False,
descr = _('Fit only the data between the '
'minimum and maximum of the axis for '
'the function variable'),
usertext=_('Fit only range')),
4 )
s.add( setting.WidgetChoice(
'outLabel', '',
descr=_('Write best fit parameters to this text label '
'after fitting'),
widgettypes=('label',),
usertext=_('Output label')),
5 )
s.add( setting.Str('outExpr', '',
descr = _('Output best fitting expression'),
usertext=_('Output expression')),
6, readonly=True )
s.add( setting.Float('chi2', -1,
descr = 'Output chi^2 from fitting',
usertext=_('Fit χ<sup>2</sup>')),
7, readonly=True )
s.add( setting.Int('dof', -1,
descr = _('Output degrees of freedom from fitting'),
usertext=_('Fit d.o.f.')),
8, readonly=True )
s.add( setting.Float('redchi2', -1,
descr = _('Output reduced-chi-squared from fitting'),
usertext=_('Fit reduced χ<sup>2</sup>')),
9, readonly=True )
f = s.get('function')
f.newDefault('a + b*x')
f.descr = _('Function to fit')
# modify description
s.get('min').usertext=_('Min. fit range')
s.get('max').usertext=_('Max. fit range')
