dataFitting.py @ bf6b8d1

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 bf6b8d1 was 79492222, checked in by krzywon, 10 years ago
Changed the file and folder names to remove all SANS references.
Property mode set to `100644`
File size: 20.8 KB

Rev	Line
[12aa9b5]	1	"""
[d955bf19]	2	Adapters for fitting module
[12aa9b5]	3	"""
[8e87ece]	4	import copy
	5	import numpy
[901142f]	6	import math
[79492222]	7	from sas.data_util.uncertainty import Uncertainty
	8	from sas.plottools.plottables import Data1D as PlotData1D
	9	from sas.plottools.plottables import Data2D as PlotData2D
	10	from sas.plottools.plottables import Theory1D as PlotTheory1D
[81812d9]	11
[79492222]	12	from sas.dataloader.data_info import Data1D as LoadData1D
	13	from sas.dataloader.data_info import Data2D as LoadData2D
[81812d9]	14
[f444b20]	15
[3562fbc]	16	class Data1D(PlotData1D, LoadData1D):
[d955bf19]	17	"""
	18	"""
[32c0841]	19	def __init__(self, x=None, y=None, dx=None, dy=None):
[d955bf19]	20	"""
	21	"""
[32c0841]	22	if x is None:
	23	x = []
	24	if y is None:
	25	y = []
[ff3f900b]	26	PlotData1D.__init__(self, x, y, dx, dy)
	27	LoadData1D.__init__(self, x, y, dx, dy)
[901142f]	28	self.id = None
[e88ebfd]	29	self.list_group_id = []
	30	self.group_id = None
[ff3f900b]	31	self.is_data = True
[f444b20]	32	self.path = None
[8a7d922]	33	self.xtransform = None
	34	self.ytransform = None
[f444b20]	35	self.title = ""
[5c4b674]	36	self.scale = None
	37
[ff3f900b]	38	def copy_from_datainfo(self, data1d):
	39	"""
[d955bf19]	40	copy values of Data1D of type DataLaoder.Data_info
[ff3f900b]	41	"""
	42	self.x = copy.deepcopy(data1d.x)
	43	self.y = copy.deepcopy(data1d.y)
	44	self.dy = copy.deepcopy(data1d.dy)
[8e87ece]	45
	46	if hasattr(data1d, "dx"):
	47	self.dx = copy.deepcopy(data1d.dx)
	48	if hasattr(data1d, "dxl"):
	49	self.dxl = copy.deepcopy(data1d.dxl)
	50	if hasattr(data1d, "dxw"):
	51	self.dxw = copy.deepcopy(data1d.dxw)
[ff3f900b]	52
[901142f]	53	self.xaxis(data1d._xaxis, data1d._xunit)
	54	self.yaxis(data1d._yaxis, data1d._yunit)
[f444b20]	55	self.title = data1d.title
[3562fbc]	56
	57	def __str__(self):
	58	"""
[d955bf19]	59	print data
[3562fbc]	60	"""
	61	_str = "%s\n" % LoadData1D.__str__(self)
	62
	63	return _str
[901142f]	64
	65	def _perform_operation(self, other, operation):
	66	"""
	67	"""
	68	# First, check the data compatibility
	69	dy, dy_other = self._validity_check(other)
	70	result = Data1D(x=[], y=[], dx=None, dy=None)
[a48842a2]	71	result.clone_without_data(length=len(self.x), clone=self)
[901142f]	72	result.copy_from_datainfo(data1d=self)
[a48842a2]	73	if self.dxw == None:
	74	result.dxw = None
	75	else:
	76	result.dxw = numpy.zeros(len(self.x))
	77	if self.dxl == None:
	78	result.dxl = None
	79	else:
	80	result.dxl = numpy.zeros(len(self.x))
	81
[901142f]	82	for i in range(len(self.x)):
	83	result.x[i] = self.x[i]
	84	if self.dx is not None and len(self.x) == len(self.dx):
	85	result.dx[i] = self.dx[i]
[a48842a2]	86	if self.dxw is not None and len(self.x) == len(self.dxw):
	87	result.dxw[i] = self.dxw[i]
	88	if self.dxl is not None and len(self.x) == len(self.dxl):
	89	result.dxl[i] = self.dxl[i]
[901142f]	90
	91	a = Uncertainty(self.y[i], dy[i]**2)
	92	if isinstance(other, Data1D):
	93	b = Uncertainty(other.y[i], dy_other[i]**2)
[a48842a2]	94	if other.dx is not None:
	95	result.dx[i] *= self.dx[i]
	96	result.dx[i] += (other.dx[i]**2)
	97	result.dx[i] /= 2
	98	result.dx[i] = math.sqrt(result.dx[i])
	99	if result.dxl is not None and other.dxl is not None:
	100	result.dxl[i] *= self.dxl[i]
	101	result.dxl[i] += (other.dxl[i]**2)
	102	result.dxl[i] /= 2
	103	result.dxl[i] = math.sqrt(result.dxl[i])
[901142f]	104	else:
	105	b = other
	106
	107	output = operation(a, b)
	108	result.y[i] = output.x
	109	result.dy[i] = math.sqrt(math.fabs(output.variance))
	110	return result
	111
[a48842a2]	112	def _perform_union(self, other):
	113	"""
	114	"""
	115	# First, check the data compatibility
	116	self._validity_check_union(other)
	117	result = Data1D(x=[], y=[], dx=None, dy=None)
	118	tot_length = len(self.x) + len(other.x)
	119	result = self.clone_without_data(length=tot_length, clone=result)
	120	if self.dy == None or other.dy is None:
	121	result.dy = None
	122	else:
	123	result.dy = numpy.zeros(tot_length)
	124	if self.dx == None or other.dx is None:
	125	result.dx = None
	126	else:
	127	result.dx = numpy.zeros(tot_length)
	128	if self.dxw == None or other.dxw is None:
	129	result.dxw = None
	130	else:
	131	result.dxw = numpy.zeros(tot_length)
	132	if self.dxl == None or other.dxl is None:
	133	result.dxl = None
	134	else:
	135	result.dxl = numpy.zeros(tot_length)
	136
	137	result.x = numpy.append(self.x, other.x)
	138	#argsorting
	139	ind = numpy.argsort(result.x)
	140	result.x = result.x[ind]
	141	result.y = numpy.append(self.y, other.y)
	142	result.y = result.y[ind]
	143	if result.dy != None:
	144	result.dy = numpy.append(self.dy, other.dy)
	145	result.dy = result.dy[ind]
	146	if result.dx is not None:
	147	result.dx = numpy.append(self.dx, other.dx)
	148	result.dx = result.dx[ind]
	149	if result.dxw is not None:
	150	result.dxw = numpy.append(self.dxw, other.dxw)
	151	result.dxw = result.dxw[ind]
	152	if result.dxl is not None:
	153	result.dxl = numpy.append(self.dxl, other.dxl)
	154	result.dxl = result.dxl[ind]
	155	return result
	156
[f444b20]	157
	158
[32c0841]	159	class Theory1D(PlotTheory1D, LoadData1D):
[d955bf19]	160	"""
	161	"""
[32c0841]	162	def __init__(self, x=None, y=None, dy=None):
[d955bf19]	163	"""
	164	"""
[32c0841]	165	if x is None:
	166	x = []
	167	if y is None:
	168	y = []
[e5664f2]	169	PlotTheory1D.__init__(self, x, y, dy)
	170	LoadData1D.__init__(self, x, y, dy)
[901142f]	171	self.id = None
[e88ebfd]	172	self.list_group_id = []
	173	self.group_id = None
[e5664f2]	174	self.is_data = True
[f444b20]	175	self.path = None
[8a7d922]	176	self.xtransform = None
	177	self.ytransform = None
[f444b20]	178	self.title = ""
[5c4b674]	179	self.scale = None
[e5664f2]	180
	181	def copy_from_datainfo(self, data1d):
	182	"""
[d955bf19]	183	copy values of Data1D of type DataLaoder.Data_info
[e5664f2]	184	"""
	185	self.x = copy.deepcopy(data1d.x)
	186	self.y = copy.deepcopy(data1d.y)
	187	self.dy = copy.deepcopy(data1d.dy)
[8e87ece]	188	if hasattr(data1d, "dx"):
	189	self.dx = copy.deepcopy(data1d.dx)
	190	if hasattr(data1d, "dxl"):
	191	self.dxl = copy.deepcopy(data1d.dxl)
	192	if hasattr(data1d, "dxw"):
	193	self.dxw = copy.deepcopy(data1d.dxw)
[901142f]	194	self.xaxis(data1d._xaxis, data1d._xunit)
	195	self.yaxis(data1d._yaxis, data1d._yunit)
[f444b20]	196	self.title = data1d.title
[8e87ece]	197
[3562fbc]	198	def __str__(self):
	199	"""
[d955bf19]	200	print data
[3562fbc]	201	"""
	202	_str = "%s\n" % LoadData1D.__str__(self)
	203
	204	return _str
[901142f]	205
	206	def _perform_operation(self, other, operation):
	207	"""
	208	"""
	209	# First, check the data compatibility
	210	dy, dy_other = self._validity_check(other)
[a48842a2]	211	result = self.clone_without_data(len(self.x))
[901142f]	212	result.copy_from_datainfo(data1d=self)
[a48842a2]	213	if self.dxw == None:
	214	result.dxw = None
	215	else:
	216	result.dxw = numpy.zeros(len(self.x))
	217	if self.dxl == None:
	218	result.dxl = None
	219	else:
	220	result.dxl = numpy.zeros(len(self.x))
	221
	222	for i in range(numpy.size(self.x)):
[901142f]	223	result.x[i] = self.x[i]
[a48842a2]	224	if self.dx is not None and len(self.x) == len(self.dx):
	225	result.dx[i] = self.dx[i]
	226	if self.dxw is not None and len(self.x) == len(self.dxw):
	227	result.dxw[i] = self.dxw[i]
	228	if self.dxl is not None and len(self.x) == len(self.dxl):
	229	result.dxl[i] = self.dxl[i]
	230
[901142f]	231	a = Uncertainty(self.y[i], dy[i]**2)
	232	if isinstance(other, Data1D):
	233	b = Uncertainty(other.y[i], dy_other[i]**2)
[a48842a2]	234	if other.dx is not None:
	235	result.dx[i] *= self.dx[i]
	236	result.dx[i] += (other.dx[i]**2)
	237	result.dx[i] /= 2
	238	result.dx[i] = math.sqrt(result.dx[i])
	239	if result.dxl is not None and other.dxl is not None:
	240	result.dxl[i] *= self.dxl[i]
	241	other.dxl[i] += (other.dxl[i]**2)
	242	result.dxl[i] /= 2
	243	result.dxl[i] = math.sqrt(result.dxl[i])
	244	if result.dxw is not None and self.dxw is not None:
	245	result.dxw[i] *= self.dxw[i]
	246	other.dxw[i] += (other.dxw[i]**2)
	247	result.dxw[i] /= 2
	248	result.dxw[i] = math.sqrt(result.dxw[i])
[901142f]	249	else:
	250	b = other
[a48842a2]	251
[901142f]	252	output = operation(a, b)
	253	result.y[i] = output.x
	254	result.dy[i] = math.sqrt(math.fabs(output.variance))
	255	return result
	256
[a48842a2]	257	def _perform_union(self, other):
	258	"""
	259	"""
	260	# First, check the data compatibility
	261	self._validity_check_union(other)
	262	result = Data1D(x=[], y=[], dx=None, dy=None)
	263	tot_length = len(self.x)+len(other.x)
	264	result.clone_without_data(length=tot_length, clone=self)
	265	if self.dy == None or other.dy is None:
	266	result.dy = None
	267	else:
	268	result.dy = numpy.zeros(tot_length)
	269	if self.dx == None or other.dx is None:
	270	result.dx = None
	271	else:
	272	result.dx = numpy.zeros(tot_length)
	273	if self.dxw == None or other.dxw is None:
	274	result.dxw = None
	275	else:
	276	result.dxw = numpy.zeros(tot_length)
	277	if self.dxl == None or other.dxl is None:
	278	result.dxl = None
	279	else:
	280	result.dxl = numpy.zeros(tot_length)
	281	result.x = numpy.append(self.x, other.x)
	282	#argsorting
	283	ind = numpy.argsort(result.x)
	284	result.x = result.x[ind]
	285	result.y = numpy.append(self.y, other.y)
	286	result.y = result.y[ind]
	287	if result.dy != None:
	288	result.dy = numpy.append(self.dy, other.dy)
	289	result.dy = result.dy[ind]
	290	if result.dx is not None:
	291	result.dx = numpy.append(self.dx, other.dx)
	292	result.dx = result.dx[ind]
	293	if result.dxw is not None:
	294	result.dxw = numpy.append(self.dxw, other.dxw)
	295	result.dxw = result.dxw[ind]
	296	if result.dxl is not None:
	297	result.dxl = numpy.append(self.dxl, other.dxl)
	298	result.dxl = result.dxl[ind]
	299	return result
	300
[ff3f900b]	301
[32c0841]	302	class Data2D(PlotData2D, LoadData2D):
[d955bf19]	303	"""
	304	"""
[901142f]	305	def __init__(self, image=None, err_image=None,
[0008f54]	306	qx_data=None, qy_data=None, q_data=None,
	307	mask=None, dqx_data=None, dqy_data=None,
[901142f]	308	xmin=None, xmax=None, ymin=None, ymax=None,
[0008f54]	309	zmin=None, zmax=None):
[d955bf19]	310	"""
	311	"""
[901142f]	312	PlotData2D.__init__(self, image=image, err_image=err_image,
	313	xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
	314	zmin=zmin, zmax=zmax, qx_data=qx_data,
	315	qy_data=qy_data)
[ff3f900b]	316
[901142f]	317	LoadData2D.__init__(self, data=image, err_data=err_image,
	318	qx_data=qx_data, qy_data=qy_data,
	319	dqx_data=dqx_data, dqy_data=dqy_data,
	320	q_data=q_data, mask=mask)
[f444b20]	321	self.id = None
[e88ebfd]	322	self.list_group_id = []
	323	self.group_id = None
[5c4b674]	324	self.is_data = True
[f444b20]	325	self.path = None
[5c4b674]	326	self.xtransform = None
	327	self.ytransform = None
[f444b20]	328	self.title = ""
[8a7d922]	329	self.scale = None
[ff3f900b]	330
	331	def copy_from_datainfo(self, data2d):
	332	"""
[d955bf19]	333	copy value of Data2D of type DataLoader.data_info
[ff3f900b]	334	"""
[32c0841]	335	self.data = copy.deepcopy(data2d.data)
	336	self.qx_data = copy.deepcopy(data2d.qx_data)
	337	self.qy_data = copy.deepcopy(data2d.qy_data)
	338	self.q_data = copy.deepcopy(data2d.q_data)
	339	self.mask = copy.deepcopy(data2d.mask)
	340	self.err_data = copy.deepcopy(data2d.err_data)
	341	self.x_bins = copy.deepcopy(data2d.x_bins)
	342	self.y_bins = copy.deepcopy(data2d.y_bins)
	343	if data2d.dqx_data is not None:
	344	self.dqx_data = copy.deepcopy(data2d.dqx_data)
	345	if data2d.dqy_data is not None:
	346	self.dqy_data = copy.deepcopy(data2d.dqy_data)
	347	self.xmin = data2d.xmin
	348	self.xmax = data2d.xmax
	349	self.ymin = data2d.ymin
	350	self.ymax = data2d.ymax
[f7a5c7e]	351	if hasattr(data2d, "zmin"):
[32c0841]	352	self.zmin = data2d.zmin
[f7a5c7e]	353	if hasattr(data2d, "zmax"):
[32c0841]	354	self.zmax = data2d.zmax
[901142f]	355	self.xaxis(data2d._xaxis, data2d._xunit)
	356	self.yaxis(data2d._yaxis, data2d._yunit)
[f444b20]	357	self.title = data2d.title
[ff3f900b]	358
[3562fbc]	359	def __str__(self):
	360	"""
[d955bf19]	361	print data
[3562fbc]	362	"""
	363	_str = "%s\n" % LoadData2D.__str__(self)
	364	return _str
[901142f]	365
[fdef956]	366	def _validity_check(self, other):
	367	"""
	368	Checks that the data lengths are compatible.
	369	Checks that the x vectors are compatible.
	370	Returns errors vectors equal to original
	371	errors vectors if they were present or vectors
	372	of zeros when none was found.
	373
	374	:param other: other data set for operation
	375
	376	:return: dy for self, dy for other [numpy arrays]
	377
	378	:raise ValueError: when lengths are not compatible
	379
	380	"""
	381	err_other = None
	382	if isinstance(other, Data2D):
	383	# Check that data lengths are the same
	384	if len(self.data) != len(other.data) or \
	385	len(self.qx_data) != len(other.qx_data) or \
	386	len(self.qy_data) != len(other.qy_data):
	387	msg = "Unable to perform operation: data length are not equal"
	388	raise ValueError, msg
	389	#if len(self.data) < 1:
	390	# msg = "Incompatible data sets: I-values do not match"
	391	# raise ValueError, msg
	392	for ind in range(len(self.data)):
	393	if self.qx_data[ind] != other.qx_data[ind]:
	394	msg = "Incompatible data sets: qx-values do not match"
	395	raise ValueError, msg
	396	if self.qy_data[ind] != other.qy_data[ind]:
	397	msg = "Incompatible data sets: qy-values do not match"
	398	raise ValueError, msg
	399
	400	# Check that the scales match
	401	err_other = other.err_data
	402	if other.err_data == None or \
	403	(len(other.err_data) != len(other.data)):
	404	err_other = numpy.zeros(len(other.data))
	405
	406	# Check that we have errors, otherwise create zero vector
	407	err = self.err_data
	408	if self.err_data == None or \
	409	(len(self.err_data) != len(self.data)):
	410	err = numpy.zeros(len(other.data))
	411
	412	return err, err_other
	413
	414	def _validity_check_union(self, other):
	415	"""
	416	Checks that the data lengths are compatible.
	417	Checks that the x vectors are compatible.
	418	Returns errors vectors equal to original
	419	errors vectors if they were present or vectors
	420	of zeros when none was found.
	421
	422	:param other: other data set for operation
	423
	424	:return: bool
	425
	426	:raise ValueError: when data types are not compatible
	427
	428	"""
	429	if not isinstance(other, Data2D):
	430	msg = "Unable to perform operation: different types of data set"
	431	raise ValueError, msg
	432	return True
	433
[901142f]	434	def _perform_operation(self, other, operation):
	435	"""
[d955bf19]	436	Perform 2D operations between data sets
	437
	438	:param other: other data set
	439	:param operation: function defining the operation
	440
[901142f]	441	"""
	442	# First, check the data compatibility
	443	dy, dy_other = self._validity_check(other)
	444	result = Data2D(image=None, qx_data=None, qy_data=None,
[a48842a2]	445	q_data=None, err_image=None, xmin=None, xmax=None,
[901142f]	446	ymin=None, ymax=None, zmin=None, zmax=None)
[9053779]	447	result.clone_without_data(len(self.data))
[901142f]	448	result.copy_from_datainfo(data2d=self)
[a48842a2]	449	result.xmin = self.xmin
	450	result.xmax = self.xmax
	451	result.ymin = self.ymin
	452	result.ymax = self.ymax
	453	if self.dqx_data == None or self.dqy_data == None:
	454	result.dqx_data = None
	455	result.dqy_data = None
	456	else:
[dcf73a4]	457	result.dqx_data = numpy.zeros(len(self.data))
	458	result.dqy_data = numpy.zeros(len(self.data))
[a48842a2]	459	for i in range(numpy.size(self.data)):
[dcf73a4]	460	result.data[i] = self.data[i]
	461	if self.err_data is not None and \
	462	numpy.size(self.data) == numpy.size(self.err_data):
	463	result.err_data[i] = self.err_data[i]
	464	if self.dqx_data is not None:
	465	result.dqx_data[i] = self.dqx_data[i]
	466	if self.dqy_data is not None:
	467	result.dqy_data[i] = self.dqy_data[i]
	468	result.qx_data[i] = self.qx_data[i]
	469	result.qy_data[i] = self.qy_data[i]
	470	result.q_data[i] = self.q_data[i]
	471	result.mask[i] = self.mask[i]
	472
[a48842a2]	473	a = Uncertainty(self.data[i], dy[i]**2)
	474	if isinstance(other, Data2D):
	475	b = Uncertainty(other.data[i], dy_other[i]**2)
	476	if other.dqx_data is not None and \
	477	result.dqx_data is not None:
	478	result.dqx_data[i] *= self.dqx_data[i]
	479	result.dqx_data[i] += (other.dqx_data[i]**2)
	480	result.dqx_data[i] /= 2
	481	result.dqx_data[i] = math.sqrt(result.dqx_data[i])
	482	if other.dqy_data is not None and \
	483	result.dqy_data is not None:
	484	result.dqy_data[i] *= self.dqy_data[i]
	485	result.dqy_data[i] += (other.dqy_data[i]**2)
	486	result.dqy_data[i] /= 2
	487	result.dqy_data[i] = math.sqrt(result.dqy_data[i])
	488	else:
	489	b = other
	490
	491	output = operation(a, b)
	492	result.data[i] = output.x
	493	result.err_data[i] = math.sqrt(math.fabs(output.variance))
	494	return result
	495
	496	def _perform_union(self, other):
	497	"""
	498	Perform 2D operations between data sets
[901142f]	499
[a48842a2]	500	:param other: other data set
	501	:param operation: function defining the operation
	502
	503	"""
	504	# First, check the data compatibility
	505	self._validity_check_union(other)
	506	result = Data2D(image=None, qx_data=None, qy_data=None,
	507	q_data=None, err_image=None, xmin=None, xmax=None,
	508	ymin=None, ymax=None, zmin=None, zmax=None)
	509	length = len(self.data)
	510	tot_length = length + len(other.data)
[9053779]	511	result.clone_without_data(tot_length)
[a48842a2]	512	result.xmin = self.xmin
	513	result.xmax = self.xmax
	514	result.ymin = self.ymin
	515	result.ymax = self.ymax
	516	if self.dqx_data == None or self.dqy_data == None or \
	517	other.dqx_data == None or other.dqy_data == None :
	518	result.dqx_data = None
	519	result.dqy_data = None
	520	else:
	521	result.dqx_data = numpy.zeros(len(self.data) + \
	522	numpy.size(other.data))
	523	result.dqy_data = numpy.zeros(len(self.data) + \
	524	numpy.size(other.data))
	525
	526	result.data = numpy.append(self.data, other.data)
	527	result.qx_data = numpy.append(self.qx_data, other.qx_data)
	528	result.qy_data = numpy.append(self.qy_data, other.qy_data)
	529	result.q_data = numpy.append(self.q_data, other.q_data)
	530	result.mask = numpy.append(self.mask, other.mask)
	531	if result.err_data is not None:
	532	result.err_data = numpy.append(self.err_data, other.err_data)
	533	if self.dqx_data is not None:
	534	result.dqx_data = numpy.append(self.dqx_data, other.dqx_data)
	535	if self.dqy_data is not None:
	536	result.dqy_data = numpy.append(self.dqy_data, other.dqy_data)
	537
[901142f]	538	return result
[1913820]	539
	540	def check_data_validity(data):
[b21d32b]	541	"""
	542	Return True is data is valid enough to compute chisqr, else False
	543	"""
	544	flag = True
	545	if data is not None:
	546	if issubclass(data.__class__, Data2D):
	547	if (data.data is None) or (len(data.data) == 0)\
	548	or (len(data.err_data) == 0):
	549	flag = False
	550	else:
	551	if (data.y is None) or (len(data.y) == 0):
	552	flag = False
	553	if not data.is_data:
	554	flag = False
	555	else:
	556	flag = False
	557	return flag

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SasView

source: sasview/src/sas/guiframe/dataFitting.py @ bf6b8d1

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