def __init__(self, x, y, dx=None, dy=None, smearer=None, data=None):
"""
:param smearer: is an object of class QSmearer or SlitSmearer
that will smear the theory data (slit smearing or resolution
smearing) when set.
The proper way to set the smearing object would be to
do the following: ::
from sas.models.qsmearing import smear_selection
smearer = smear_selection(some_data)
fitdata1d = FitData1D( x= [1,3,..,],
y= [3,4,..,8],
dx=None,
dy=[1,2...], smearer= smearer)
:Note: that some_data _HAS_ to be of
class DataLoader.data_info.Data1D
Setting it back to None will turn smearing off.
"""
Data1D.__init__(self, x=x, y=y, dx=dx, dy=dy)
self.num_points = len(x)
self.sas_data = data
self.smearer = smearer
self._first_unsmeared_bin = None
self._last_unsmeared_bin = None
# Check error bar; if no error bar found, set it constant(=1)
# TODO: Should provide an option for users to set it like percent,
# constant, or dy data
if dy is None or dy == [] or dy.all() == 0:
self.dy = numpy.ones(len(y))
else:
self.dy = numpy.asarray(dy).copy()
## Min Q-value
#Skip the Q=0 point, especially when y(q=0)=None at x[0].
if min(self.x) == 0.0 and self.x[0] == 0 and\
not numpy.isfinite(self.y[0]):
self.qmin = min(self.x[self.x != 0])
else:
self.qmin = min(self.x)
## Max Q-value
self.qmax = max(self.x)
# Range used for input to smearing
self._qmin_unsmeared = self.qmin
self._qmax_unsmeared = self.qmax
# Identify the bin range for the unsmeared and smeared spaces
self.idx = (self.x >= self.qmin) & (self.x <= self.qmax)
self.idx_unsmeared = (self.x >= self._qmin_unsmeared) \
& (self.x <= self._qmax_unsmeared)
def __init__(self, x, y, dx=None, dy=None, smearer=None, data=None):
"""
:param smearer: is an object of class QSmearer or SlitSmearer
that will smear the theory data (slit smearing or resolution
smearing) when set.
The proper way to set the smearing object would be to
do the following: ::
from sas.models.qsmearing import smear_selection
smearer = smear_selection(some_data)
fitdata1d = FitData1D( x= [1,3,..,],
y= [3,4,..,8],
dx=None,
dy=[1,2...], smearer= smearer)
:Note: that some_data _HAS_ to be of
class DataLoader.data_info.Data1D
Setting it back to None will turn smearing off.
"""
Data1D.__init__(self, x=x, y=y, dx=dx, dy=dy)
self.num_points = len(x)
self.sas_data = data
self.smearer = smearer
self._first_unsmeared_bin = None
self._last_unsmeared_bin = None
# Check error bar; if no error bar found, set it constant(=1)
# TODO: Should provide an option for users to set it like percent,
# constant, or dy data
if dy is None or dy == [] or dy.all() == 0:
self.dy = numpy.ones(len(y))
else:
self.dy = numpy.asarray(dy).copy()
## Min Q-value
#Skip the Q=0 point, especially when y(q=0)=None at x[0].
if min(self.x) == 0.0 and self.x[0] == 0 and\
not numpy.isfinite(self.y[0]):
self.qmin = min(self.x[self.x != 0])
else:
self.qmin = min(self.x)
## Max Q-value
self.qmax = max(self.x)
# Range used for input to smearing
self._qmin_unsmeared = self.qmin
self._qmax_unsmeared = self.qmax
# Identify the bin range for the unsmeared and smeared spaces
self.idx = (self.x >= self.qmin) & (self.x <= self.qmax)
self.idx_unsmeared = (self.x >= self._qmin_unsmeared) \
& (self.x <= self._qmax_unsmeared)
def __init__(self, x=None, y=None, dx=None, dy=None):
"""
"""
if x is None:
x = []
if y is None:
y = []
PlotData1D.__init__(self, x, y, dx, dy)
LoadData1D.__init__(self, x, y, dx, dy)
self.id = None
self.list_group_id = []
self.group_id = None
self.is_data = True
self.path = None
self.xtransform = None
self.ytransform = None
self.title = ""
self.scale = None
def __init__(self, x=None, y=None, dx=None, dy=None):
"""
"""
if x is None:
x = []
if y is None:
y = []
PlotData1D.__init__(self, x, y, dx, dy)
LoadData1D.__init__(self, x, y, dx, dy)
self.id = None
self.list_group_id = []
self.group_id = None
self.is_data = True
self.path = None
self.xtransform = None
self.ytransform = None
self.title = ""
self.scale = None
