dataFitting.py @ ddbac66

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-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since ddbac66 was 345e7e4, checked in by GitHub <noreply@…>, 8 years ago
Revert "Jurtest2"
Property mode set to `100644`
File size: 18.2 KB

Rev	Line
[12aa9b5]	1	"""
[d955bf19]	2	Adapters for fitting module
[12aa9b5]	3	"""
[8e87ece]	4	import copy
	5	import numpy
[901142f]	6	import math
[b699768]	7	from sas.sascalc.data_util.uncertainty import Uncertainty
[d7bb526]	8	from sas.sasgui.plottools.plottables import Data1D as PlotData1D
	9	from sas.sasgui.plottools.plottables import Data2D as PlotData2D
	10	from sas.sasgui.plottools.plottables import Theory1D as PlotTheory1D
[81812d9]	11
[b699768]	12	from sas.sascalc.dataloader.data_info import Data1D as LoadData1D
	13	from sas.sascalc.dataloader.data_info import Data2D as LoadData2D
[81812d9]	14
[f444b20]	15
[3562fbc]	16	class Data1D(PlotData1D, LoadData1D):
[d955bf19]	17	"""
	18	"""
[345e7e4]	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 = []
[345e7e4]	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)
[345e7e4]	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)
[345e7e4]	117	result = Data1D(x=[], y=[], dx=None, dy=None)
[a48842a2]	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)
[345e7e4]	262	result = Data1D(x=[], y=[], dx=None, dy=None)
[a48842a2]	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
[fdef956]	365
[901142f]	366	def _perform_operation(self, other, operation):
	367	"""
[d955bf19]	368	Perform 2D operations between data sets
	369
	370	:param other: other data set
	371	:param operation: function defining the operation
	372
[901142f]	373	"""
	374	# First, check the data compatibility
	375	dy, dy_other = self._validity_check(other)
	376	result = Data2D(image=None, qx_data=None, qy_data=None,
[a48842a2]	377	q_data=None, err_image=None, xmin=None, xmax=None,
[901142f]	378	ymin=None, ymax=None, zmin=None, zmax=None)
[9053779]	379	result.clone_without_data(len(self.data))
[901142f]	380	result.copy_from_datainfo(data2d=self)
[a48842a2]	381	result.xmin = self.xmin
	382	result.xmax = self.xmax
	383	result.ymin = self.ymin
	384	result.ymax = self.ymax
	385	if self.dqx_data == None or self.dqy_data == None:
	386	result.dqx_data = None
	387	result.dqy_data = None
	388	else:
[dcf73a4]	389	result.dqx_data = numpy.zeros(len(self.data))
	390	result.dqy_data = numpy.zeros(len(self.data))
[a48842a2]	391	for i in range(numpy.size(self.data)):
[dcf73a4]	392	result.data[i] = self.data[i]
	393	if self.err_data is not None and \
	394	numpy.size(self.data) == numpy.size(self.err_data):
	395	result.err_data[i] = self.err_data[i]
	396	if self.dqx_data is not None:
	397	result.dqx_data[i] = self.dqx_data[i]
	398	if self.dqy_data is not None:
	399	result.dqy_data[i] = self.dqy_data[i]
	400	result.qx_data[i] = self.qx_data[i]
	401	result.qy_data[i] = self.qy_data[i]
	402	result.q_data[i] = self.q_data[i]
	403	result.mask[i] = self.mask[i]
	404
[a48842a2]	405	a = Uncertainty(self.data[i], dy[i]**2)
	406	if isinstance(other, Data2D):
	407	b = Uncertainty(other.data[i], dy_other[i]**2)
	408	if other.dqx_data is not None and \
	409	result.dqx_data is not None:
	410	result.dqx_data[i] *= self.dqx_data[i]
	411	result.dqx_data[i] += (other.dqx_data[i]**2)
	412	result.dqx_data[i] /= 2
	413	result.dqx_data[i] = math.sqrt(result.dqx_data[i])
	414	if other.dqy_data is not None and \
	415	result.dqy_data is not None:
	416	result.dqy_data[i] *= self.dqy_data[i]
	417	result.dqy_data[i] += (other.dqy_data[i]**2)
	418	result.dqy_data[i] /= 2
	419	result.dqy_data[i] = math.sqrt(result.dqy_data[i])
	420	else:
	421	b = other
	422
	423	output = operation(a, b)
	424	result.data[i] = output.x
	425	result.err_data[i] = math.sqrt(math.fabs(output.variance))
	426	return result
	427
	428	def _perform_union(self, other):
	429	"""
	430	Perform 2D operations between data sets
[901142f]	431
[a48842a2]	432	:param other: other data set
	433	:param operation: function defining the operation
	434
	435	"""
	436	# First, check the data compatibility
	437	self._validity_check_union(other)
	438	result = Data2D(image=None, qx_data=None, qy_data=None,
	439	q_data=None, err_image=None, xmin=None, xmax=None,
	440	ymin=None, ymax=None, zmin=None, zmax=None)
	441	length = len(self.data)
	442	tot_length = length + len(other.data)
[9053779]	443	result.clone_without_data(tot_length)
[a48842a2]	444	result.xmin = self.xmin
	445	result.xmax = self.xmax
	446	result.ymin = self.ymin
	447	result.ymax = self.ymax
	448	if self.dqx_data == None or self.dqy_data == None or \
	449	other.dqx_data == None or other.dqy_data == None :
	450	result.dqx_data = None
	451	result.dqy_data = None
	452	else:
	453	result.dqx_data = numpy.zeros(len(self.data) + \
	454	numpy.size(other.data))
	455	result.dqy_data = numpy.zeros(len(self.data) + \
	456	numpy.size(other.data))
	457
	458	result.data = numpy.append(self.data, other.data)
	459	result.qx_data = numpy.append(self.qx_data, other.qx_data)
	460	result.qy_data = numpy.append(self.qy_data, other.qy_data)
	461	result.q_data = numpy.append(self.q_data, other.q_data)
	462	result.mask = numpy.append(self.mask, other.mask)
	463	if result.err_data is not None:
	464	result.err_data = numpy.append(self.err_data, other.err_data)
	465	if self.dqx_data is not None:
	466	result.dqx_data = numpy.append(self.dqx_data, other.dqx_data)
	467	if self.dqy_data is not None:
	468	result.dqy_data = numpy.append(self.dqy_data, other.dqy_data)
	469
[901142f]	470	return result
[1913820]	471
	472	def check_data_validity(data):
[b21d32b]	473	"""
	474	Return True is data is valid enough to compute chisqr, else False
	475	"""
	476	flag = True
	477	if data is not None:
	478	if issubclass(data.__class__, Data2D):
	479	if (data.data is None) or (len(data.data) == 0)\
	480	or (len(data.err_data) == 0):
	481	flag = False
	482	else:
	483	if (data.y is None) or (len(data.y) == 0):
	484	flag = False
	485	if not data.is_data:
	486	flag = False
	487	else:
	488	flag = False
	489	return flag

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SasView

source: sasview/src/sas/sasgui/guiframe/dataFitting.py @ ddbac66

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