PlotterData.py @ bed08e7

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalc

Last change on this file since bed08e7 was fef38e8, checked in by Piotr Rozyczko <rozyczko@…>, 7 years ago
Startup time improvements - hiding expensive imports and such
Property mode set to `100755`
File size: 12.6 KB

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[fef38e8]	1	"""
	2	Adapters for fitting module
	3	"""
	4	import copy
	5	import numpy
	6	import math
	7	from sas.sascalc.data_util.uncertainty import Uncertainty
	8
	9	from sas.qtgui.Plotting.Plottables import PlottableData1D
	10	from sas.qtgui.Plotting.Plottables import PlottableData2D
	11
	12	from sas.sascalc.dataloader.data_info import Data1D as LoadData1D
	13	from sas.sascalc.dataloader.data_info import Data2D as LoadData2D
	14
	15
	16	class Data1D(PlottableData1D, LoadData1D):
	17	"""
	18	"""
	19	def __init__(self, x=None, y=None, dx=None, dy=None):
	20	"""
	21	"""
	22	if x is None:
	23	x = []
	24	if y is None:
	25	y = []
	26	PlottableData1D.__init__(self, x, y, dx, dy)
	27	LoadData1D.__init__(self, x, y, dx, dy)
	28	self.id = None
	29	self.list_group_id = []
	30	self.group_id = None
	31	self.is_data = True
	32	self.path = None
	33	self.xtransform = None
	34	self.ytransform = None
	35	self.title = ""
	36	self.scale = None
	37
	38	def copy_from_datainfo(self, data1d):
	39	"""
	40	copy values of Data1D of type DataLaoder.Data_info
	41	"""
	42	self.x = copy.deepcopy(data1d.x)
	43	self.y = copy.deepcopy(data1d.y)
	44	self.dy = copy.deepcopy(data1d.dy)
	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)
	52
	53	self.xaxis(data1d._xaxis, data1d._xunit)
	54	self.yaxis(data1d._yaxis, data1d._yunit)
	55	self.title = data1d.title
	56
	57	def __str__(self):
	58	"""
	59	print data
	60	"""
	61	_str = "%s\n" % LoadData1D.__str__(self)
	62
	63	return _str
	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)
	71	result.clone_without_data(length=len(self.x), clone=self)
	72	result.copy_from_datainfo(data1d=self)
	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
	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]
	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]
	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)
	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])
	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
	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
	157	class Data2D(PlottableData2D, LoadData2D):
	158	"""
	159	"""
	160	def __init__(self, image=None, err_image=None,
	161	qx_data=None, qy_data=None, q_data=None,
	162	mask=None, dqx_data=None, dqy_data=None,
	163	xmin=None, xmax=None, ymin=None, ymax=None,
	164	zmin=None, zmax=None):
	165	"""
	166	"""
	167	PlottableData2D.__init__(self, image=image, err_image=err_image,
	168	xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
	169	zmin=zmin, zmax=zmax, qx_data=qx_data,
	170	qy_data=qy_data)
	171
	172	LoadData2D.__init__(self, data=image, err_data=err_image,
	173	qx_data=qx_data, qy_data=qy_data,
	174	dqx_data=dqx_data, dqy_data=dqy_data,
	175	q_data=q_data, mask=mask)
	176	self.id = None
	177	self.list_group_id = []
	178	self.group_id = None
	179	self.is_data = True
	180	self.path = None
	181	self.xtransform = None
	182	self.ytransform = None
	183	self.title = ""
	184	self.scale = None
	185
	186	def copy_from_datainfo(self, data2d):
	187	"""
	188	copy value of Data2D of type DataLoader.data_info
	189	"""
	190	self.data = copy.deepcopy(data2d.data)
	191	self.qx_data = copy.deepcopy(data2d.qx_data)
	192	self.qy_data = copy.deepcopy(data2d.qy_data)
	193	self.q_data = copy.deepcopy(data2d.q_data)
	194	self.mask = copy.deepcopy(data2d.mask)
	195	self.err_data = copy.deepcopy(data2d.err_data)
	196	self.x_bins = copy.deepcopy(data2d.x_bins)
	197	self.y_bins = copy.deepcopy(data2d.y_bins)
	198	if data2d.dqx_data is not None:
	199	self.dqx_data = copy.deepcopy(data2d.dqx_data)
	200	if data2d.dqy_data is not None:
	201	self.dqy_data = copy.deepcopy(data2d.dqy_data)
	202	self.xmin = data2d.xmin
	203	self.xmax = data2d.xmax
	204	self.ymin = data2d.ymin
	205	self.ymax = data2d.ymax
	206	if hasattr(data2d, "zmin"):
	207	self.zmin = data2d.zmin
	208	if hasattr(data2d, "zmax"):
	209	self.zmax = data2d.zmax
	210	self.xaxis(data2d._xaxis, data2d._xunit)
	211	self.yaxis(data2d._yaxis, data2d._yunit)
	212	self.title = data2d.title
	213
	214	def __str__(self):
	215	"""
	216	print data
	217	"""
	218	_str = "%s\n" % LoadData2D.__str__(self)
	219	return _str
	220
	221	def _perform_operation(self, other, operation):
	222	"""
	223	Perform 2D operations between data sets
	224
	225	:param other: other data set
	226	:param operation: function defining the operation
	227
	228	"""
	229	# First, check the data compatibility
	230	dy, dy_other = self._validity_check(other)
	231	result = Data2D(image=None, qx_data=None, qy_data=None,
	232	q_data=None, err_image=None, xmin=None, xmax=None,
	233	ymin=None, ymax=None, zmin=None, zmax=None)
	234	result.clone_without_data(len(self.data))
	235	result.copy_from_datainfo(data2d=self)
	236	result.xmin = self.xmin
	237	result.xmax = self.xmax
	238	result.ymin = self.ymin
	239	result.ymax = self.ymax
	240	if self.dqx_data == None or self.dqy_data == None:
	241	result.dqx_data = None
	242	result.dqy_data = None
	243	else:
	244	result.dqx_data = numpy.zeros(len(self.data))
	245	result.dqy_data = numpy.zeros(len(self.data))
	246	for i in range(numpy.size(self.data)):
	247	result.data[i] = self.data[i]
	248	if self.err_data is not None and \
	249	numpy.size(self.data) == numpy.size(self.err_data):
	250	result.err_data[i] = self.err_data[i]
	251	if self.dqx_data is not None:
	252	result.dqx_data[i] = self.dqx_data[i]
	253	if self.dqy_data is not None:
	254	result.dqy_data[i] = self.dqy_data[i]
	255	result.qx_data[i] = self.qx_data[i]
	256	result.qy_data[i] = self.qy_data[i]
	257	result.q_data[i] = self.q_data[i]
	258	result.mask[i] = self.mask[i]
	259
	260	a = Uncertainty(self.data[i], dy[i]**2)
	261	if isinstance(other, Data2D):
	262	b = Uncertainty(other.data[i], dy_other[i]**2)
	263	if other.dqx_data is not None and \
	264	result.dqx_data is not None:
	265	result.dqx_data[i] *= self.dqx_data[i]
	266	result.dqx_data[i] += (other.dqx_data[i]**2)
	267	result.dqx_data[i] /= 2
	268	result.dqx_data[i] = math.sqrt(result.dqx_data[i])
	269	if other.dqy_data is not None and \
	270	result.dqy_data is not None:
	271	result.dqy_data[i] *= self.dqy_data[i]
	272	result.dqy_data[i] += (other.dqy_data[i]**2)
	273	result.dqy_data[i] /= 2
	274	result.dqy_data[i] = math.sqrt(result.dqy_data[i])
	275	else:
	276	b = other
	277
	278	output = operation(a, b)
	279	result.data[i] = output.x
	280	result.err_data[i] = math.sqrt(math.fabs(output.variance))
	281	return result
	282
	283	def _perform_union(self, other):
	284	"""
	285	Perform 2D operations between data sets
	286
	287	:param other: other data set
	288	:param operation: function defining the operation
	289
	290	"""
	291	# First, check the data compatibility
	292	self._validity_check_union(other)
	293	result = Data2D(image=None, qx_data=None, qy_data=None,
	294	q_data=None, err_image=None, xmin=None, xmax=None,
	295	ymin=None, ymax=None, zmin=None, zmax=None)
	296	length = len(self.data)
	297	tot_length = length + len(other.data)
	298	result.clone_without_data(tot_length)
	299	result.xmin = self.xmin
	300	result.xmax = self.xmax
	301	result.ymin = self.ymin
	302	result.ymax = self.ymax
	303	if self.dqx_data == None or self.dqy_data == None or \
	304	other.dqx_data == None or other.dqy_data == None :
	305	result.dqx_data = None
	306	result.dqy_data = None
	307	else:
	308	result.dqx_data = numpy.zeros(len(self.data) + \
	309	numpy.size(other.data))
	310	result.dqy_data = numpy.zeros(len(self.data) + \
	311	numpy.size(other.data))
	312
	313	result.data = numpy.append(self.data, other.data)
	314	result.qx_data = numpy.append(self.qx_data, other.qx_data)
	315	result.qy_data = numpy.append(self.qy_data, other.qy_data)
	316	result.q_data = numpy.append(self.q_data, other.q_data)
	317	result.mask = numpy.append(self.mask, other.mask)
	318	if result.err_data is not None:
	319	result.err_data = numpy.append(self.err_data, other.err_data)
	320	if self.dqx_data is not None:
	321	result.dqx_data = numpy.append(self.dqx_data, other.dqx_data)
	322	if self.dqy_data is not None:
	323	result.dqy_data = numpy.append(self.dqy_data, other.dqy_data)
	324
	325	return result
	326
	327	def check_data_validity(data):
	328	"""
	329	Return True is data is valid enough to compute chisqr, else False
	330	"""
	331	flag = True
	332	if data is not None:
	333	if issubclass(data.__class__, Data2D):
	334	if (data.data is None) or (len(data.data) == 0)\
	335	or (len(data.err_data) == 0):
	336	flag = False
	337	else:
	338	if (data.y is None) or (len(data.y) == 0):
	339	flag = False
	340	if not data.is_data:
	341	flag = False
	342	else:
	343	flag = False
	344	return flag

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SasView

source: sasview/src/sas/qtgui/Plotting/PlotterData.py @ bed08e7

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