dataFitting.py @ 479eced

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 479eced was f7a5c7e, checked in by Gervaise Alina <gervyh@…>, 15 years ago
modify copy data2D in datafitting
Property mode set to `100644`
File size: 7.8 KB

Rev	Line
[12aa9b5]	1	"""
[ff3f900b]	2	Adapters for fitting module
[12aa9b5]	3	"""
[8e87ece]	4	import copy
	5	import numpy
[901142f]	6	import math
	7	from data_util.uncertainty import Uncertainty
[ff3f900b]	8	from danse.common.plottools.plottables import Data1D as PlotData1D
	9	from danse.common.plottools.plottables import Data2D as PlotData2D
[e5664f2]	10	from danse.common.plottools.plottables import Theory1D as PlotTheory1D
[81812d9]	11
[ff3f900b]	12	from DataLoader.data_info import Data1D as LoadData1D
	13	from DataLoader.data_info import Data2D as LoadData2D
[81812d9]	14
[3562fbc]	15	class Data1D(PlotData1D, LoadData1D):
[ff3f900b]	16
[8e87ece]	17	def __init__(self, x=[], y=[], dx=None, dy=None):
[ff3f900b]	18	PlotData1D.__init__(self, x, y, dx, dy)
	19	LoadData1D.__init__(self, x, y, dx, dy)
[901142f]	20	self.id = None
	21	self.group_id = None
[ff3f900b]	22	self.is_data = True
	23
	24	def copy_from_datainfo(self, data1d):
	25	"""
	26	copy values of Data1D of type DataLaoder.Data_info
	27	"""
	28	self.x = copy.deepcopy(data1d.x)
	29	self.y = copy.deepcopy(data1d.y)
	30	self.dy = copy.deepcopy(data1d.dy)
[8e87ece]	31
	32	if hasattr(data1d, "dx"):
	33	self.dx = copy.deepcopy(data1d.dx)
	34	if hasattr(data1d, "dxl"):
	35	self.dxl = copy.deepcopy(data1d.dxl)
	36	if hasattr(data1d, "dxw"):
	37	self.dxw = copy.deepcopy(data1d.dxw)
[ff3f900b]	38
[901142f]	39	self.xaxis(data1d._xaxis, data1d._xunit)
	40	self.yaxis(data1d._yaxis, data1d._yunit)
[3562fbc]	41
	42	def __str__(self):
	43	"""
	44	print data
	45	"""
	46	_str = "%s\n" % LoadData1D.__str__(self)
	47
	48	return _str
[901142f]	49
	50	def _perform_operation(self, other, operation):
	51	"""
	52	"""
	53	# First, check the data compatibility
	54	dy, dy_other = self._validity_check(other)
	55	result = Data1D(x=[], y=[], dx=None, dy=None)
	56	result.clone_without_data(clone=self)
	57	result.copy_from_datainfo(data1d=self)
	58	for i in range(len(self.x)):
	59	result.x[i] = self.x[i]
	60	if self.dx is not None and len(self.x) == len(self.dx):
	61	result.dx[i] = self.dx[i]
	62
	63	a = Uncertainty(self.y[i], dy[i]**2)
	64	if isinstance(other, Data1D):
	65	b = Uncertainty(other.y[i], dy_other[i]**2)
	66	else:
	67	b = other
	68
	69	output = operation(a, b)
	70	result.y[i] = output.x
	71	if result.dy is None: result.dy = numpy.zeros(len(self.x))
	72	result.dy[i] = math.sqrt(math.fabs(output.variance))
	73	return result
	74
[e5664f2]	75	class Theory1D(PlotTheory1D,LoadData1D):
[ff3f900b]	76
[901142f]	77	def __init__(self, x=[], y=[], dy=None):
[e5664f2]	78	PlotTheory1D.__init__(self, x, y, dy)
	79	LoadData1D.__init__(self, x, y, dy)
[901142f]	80	self.id = None
[8e87ece]	81	self.group_id = None
[e5664f2]	82	self.is_data = True
	83
	84	def copy_from_datainfo(self, data1d):
	85	"""
	86	copy values of Data1D of type DataLaoder.Data_info
	87	"""
	88	self.x = copy.deepcopy(data1d.x)
	89	self.y = copy.deepcopy(data1d.y)
	90	self.dy = copy.deepcopy(data1d.dy)
[8e87ece]	91	if hasattr(data1d, "dx"):
	92	self.dx = copy.deepcopy(data1d.dx)
	93	if hasattr(data1d, "dxl"):
	94	self.dxl = copy.deepcopy(data1d.dxl)
	95	if hasattr(data1d, "dxw"):
	96	self.dxw = copy.deepcopy(data1d.dxw)
[901142f]	97	self.xaxis(data1d._xaxis, data1d._xunit)
	98	self.yaxis(data1d._yaxis, data1d._yunit)
[8e87ece]	99
[3562fbc]	100	def __str__(self):
	101	"""
	102	print data
	103	"""
	104	_str = "%s\n" % LoadData1D.__str__(self)
	105
	106	return _str
[901142f]	107
	108	def _perform_operation(self, other, operation):
	109	"""
	110	"""
	111	# First, check the data compatibility
	112	dy, dy_other = self._validity_check(other)
	113	result = Theory1D(x=[], y=[], dy=None)
	114	result.clone_without_data(clone=self)
	115	result.copy_from_datainfo(data1d=self)
	116	for i in range(len(self.x)):
	117	result.x[i] = self.x[i]
	118
	119	a = Uncertainty(self.y[i], dy[i]**2)
	120	if isinstance(other, Data1D):
	121	b = Uncertainty(other.y[i], dy_other[i]**2)
	122	else:
	123	b = other
	124
	125	output = operation(a, b)
	126	result.y[i] = output.x
	127	if result.dy is None: result.dy = numpy.zeros(len(self.x))
	128	result.dy[i] = math.sqrt(math.fabs(output.variance))
	129	return result
	130
[ff3f900b]	131
	132	class Data2D(PlotData2D,LoadData2D):
[901142f]	133	def __init__(self, image=None, err_image=None,
	134	xmin=None, xmax=None, ymin=None, ymax=None,
	135	zmin=None, zmax=None, qx_data=None, qy_data=None,
	136	q_data=None, mask=None, dqx_data=None, dqy_data=None):
[ff3f900b]	137
[901142f]	138	PlotData2D.__init__(self, image=image, err_image=err_image,
	139	xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
	140	zmin=zmin, zmax=zmax, qx_data=qx_data,
	141	qy_data=qy_data)
[ff3f900b]	142
[901142f]	143	LoadData2D.__init__(self, data=image, err_data=err_image,
	144	qx_data=qx_data, qy_data=qy_data,
	145	dqx_data=dqx_data, dqy_data=dqy_data,
	146	q_data=q_data, mask=mask)
[ff3f900b]	147
	148	def copy_from_datainfo(self, data2d):
	149	"""
	150	copy value of Data2D of type DataLoader.data_info
	151	"""
	152	self.data = copy.deepcopy(data2d.data)
[901142f]	153	self.qx_data = copy.deepcopy(data2d.qx_data)
	154	self.qy_data = copy.deepcopy(data2d.qy_data)
	155	self.q_data = copy.deepcopy(data2d.q_data)
[20b6760]	156	self.mask = copy.deepcopy(data2d.mask)
[ff3f900b]	157	self.err_data = copy.deepcopy(data2d.err_data)
	158	self.x_bins = copy.deepcopy(data2d.x_bins)
	159	self.y_bins = copy.deepcopy(data2d.y_bins)
	160
	161	self.xmin = data2d.xmin
	162	self.xmax = data2d.xmax
	163	self.ymin = data2d.ymin
	164	self.ymax = data2d.ymax
[f7a5c7e]	165	if hasattr(data2d, "zmin"):
	166	self.zmin = data2d.zmin
	167	if hasattr(data2d, "zmax"):
	168	self.zmax = data2d.zmax
[ff3f900b]	169
[901142f]	170	self.xaxis(data2d._xaxis, data2d._xunit)
	171	self.yaxis(data2d._yaxis, data2d._yunit)
[ff3f900b]	172
[3562fbc]	173	def __str__(self):
	174	"""
	175	print data
	176	"""
	177	_str = "%s\n" % LoadData2D.__str__(self)
	178
	179	return _str
[901142f]	180
	181	def _perform_operation(self, other, operation):
	182	"""
	183	Perform 2D operations between data sets
	184
	185	@param other: other data set
	186	@param operation: function defining the operation
	187	"""
	188	# First, check the data compatibility
	189	dy, dy_other = self._validity_check(other)
	190
	191	result = Data2D(image=None, qx_data=None, qy_data=None,
	192	err_image=None, xmin=None, xmax=None,
	193	ymin=None, ymax=None, zmin=None, zmax=None)
	194
	195	result.clone_without_data(clone=self)
	196	result.copy_from_datainfo(data2d=self)
	197
	198	for i in range(numpy.size(self.data,0)):
	199	for j in range(numpy.size(self.data,1)):
	200	result.data[i][j] = self.data[i][j]
	201	if self.err_data is not None and \
	202	numpy.size(self.data)==numpy.size(self.err_data):
	203	result.err_data[i][j] = self.err_data[i][j]
	204
	205	a = Uncertainty(self.data[i][j], dy[i][j]**2)
	206	if isinstance(other, Data2D):
	207	b = Uncertainty(other.data[i][j], dy_other[i][j]**2)
	208	else:
	209	b = other
	210
	211	output = operation(a, b)
	212	result.data[i][j] = output.x
	213	result.err_data[i][j] = math.sqrt(math.fabs(output.variance))
	214	return result
[ff3f900b]	215

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source: sasview/guiframe/dataFitting.py @ 479eced

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