data_info.py @ c4dd2fe

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 c4dd2fe was 0997158f, checked in by Gervaise Alina <gervyh@…>, 14 years ago
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1	"""
2	Module that contains classes to hold information read from
3	reduced data files.
4
5	A good description of the data members can be found in
6	the CanSAS 1D XML data format:
7
8	http://www.smallangles.net/wgwiki/index.php/cansas1d_documentation
9	"""
10
11
12	#This software was developed by the University of Tennessee as part of the
13	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
14	#project funded by the US National Science Foundation.
15	#If you use DANSE applications to do scientific research that leads to
16	#publication, we ask that you acknowledge the use of the software with the
17	#following sentence:
18	#This work benefited from DANSE software developed under NSF award DMR-0520547.
19	#copyright 2008, University of Tennessee
20
21
22	#TODO: Keep track of data manipulation in the 'process' data structure.
23	#TODO: This module should be independent of plottables. We should write
24	# an adapter class for plottables when needed.
25
26	#from sans.guitools.plottables import Data1D as plottable_1D
27	from data_util.uncertainty import Uncertainty
28	import numpy
29	import math
30
31	class plottable_1D:
32	"""
33	Data1D is a place holder for 1D plottables.
34	"""
35	# The presence of these should be mutually exclusive with the presence of Qdev (dx)
36	x = None
37	y = None
38	dx = None
39	dy = None
40	## Slit smearing length
41	dxl = None
42	## Slit smearing width
43	dxw = None
44
45	# Units
46	_xaxis = ''
47	_xunit = ''
48	_yaxis = ''
49	_yunit = ''
50
51	def __init__(self,x,y,dx=None,dy=None,dxl=None,dxw=None):
52	self.x = numpy.asarray(x)
53	self.y = numpy.asarray(y)
54	if dx is not None: self.dx = numpy.asarray(dx)
55	if dy is not None: self.dy = numpy.asarray(dy)
56	if dxl is not None: self.dxl = numpy.asarray(dxl)
57	if dxw is not None: self.dxw = numpy.asarray(dxw)
58
59	def xaxis(self, label, unit):
60	self._xaxis = label
61	self._xunit = unit
62
63	def yaxis(self, label, unit):
64	self._yaxis = label
65	self._yunit = unit
66
67	class plottable_2D:
68	"""
69	Data2D is a place holder for 2D plottables.
70	"""
71	xmin = None
72	xmax = None
73	ymin = None
74	ymax = None
75	data = None
76	qx_data = None
77	qy_data = None
78	q_data = None
79	err_data = None
80	dqx_data = None
81	dqy_data = None
82	mask = None
83
84	# Units
85	_xaxis = ''
86	_xunit = ''
87	_yaxis = ''
88	_yunit = ''
89	_zaxis = ''
90	_zunit = ''
91
92	def __init__(self, data=None, err_data=None, qx_data=None, qy_data=None, q_data=None,mask=None, dqx_data=None, dqy_data=None):
93	self.data = numpy.asarray(data)
94	self.qx_data = numpy.asarray(qx_data)
95	self.qy_data = numpy.asarray(qy_data)
96	self.q_data = numpy.asarray(q_data)
97	self.mask = numpy.asarray(mask)
98	self.err_data = numpy.asarray(err_data)
99	if dqx_data is not None: self.dqx_data = numpy.asarray(dqx_data)
100	if dqy_data is not None: self.dqy_data = numpy.asarray(dqy_data)
101
102	def xaxis(self, label, unit):
103	self._xaxis = label
104	self._xunit = unit
105
106	def yaxis(self, label, unit):
107	self._yaxis = label
108	self._yunit = unit
109
110	def zaxis(self, label, unit):
111	self._zaxis = label
112	self._zunit = unit
113
114
115	class Vector:
116	"""
117	Vector class to hold multi-dimensional objects
118	"""
119	## x component
120	x = None
121	## y component
122	y = None
123	## z component
124	z = None
125
126	def __init__(self, x=None, y=None, z=None):
127	"""
128	Initialization. Components that are not
129	set a set to None by default.
130
131	:param x: x component
132	:param y: y component
133	:param z: z component
134
135	"""
136	self.x = x
137	self.y = y
138	self.z = z
139
140	def __str__(self):
141	return "x = %s\ty = %s\tz = %s" % (str(self.x), str(self.y), str(self.z))
142
143
144	class Detector:
145	"""
146	Class to hold detector information
147	"""
148	## Name of the instrument [string]
149	name = None
150	## Sample to detector distance [float] [mm]
151	distance = None
152	distance_unit = 'mm'
153	## Offset of this detector position in X, Y, (and Z if necessary) [Vector] [mm]
154	offset = None
155	offset_unit = 'm'
156	## Orientation (rotation) of this detector in roll, pitch, and yaw [Vector] [degrees]
157	orientation = None
158	orientation_unit = 'degree'
159	## Center of the beam on the detector in X and Y (and Z if necessary) [Vector] [mm]
160	beam_center = None
161	beam_center_unit = 'mm'
162	## Pixel size in X, Y, (and Z if necessary) [Vector] [mm]
163	pixel_size = None
164	pixel_size_unit = 'mm'
165	## Slit length of the instrument for this detector.[float] [mm]
166	slit_length = None
167	slit_length_unit = 'mm'
168
169	def __init__(self):
170	"""
171
172	Initialize class attribute that are objects...
173
174	"""
175	self.offset = Vector()
176	self.orientation = Vector()
177	self.beam_center = Vector()
178	self.pixel_size = Vector()
179
180
181	def __str__(self):
182	_str = "Detector:\n"
183	_str += " Name: %s\n" % self.name
184	_str += " Distance: %s [%s]\n" % \
185	(str(self.distance), str(self.distance_unit))
186	_str += " Offset: %s [%s]\n" % \
187	(str(self.offset), str(self.offset_unit))
188	_str += " Orientation: %s [%s]\n" % \
189	(str(self.orientation), str(self.orientation_unit))
190	_str += " Beam center: %s [%s]\n" % \
191	(str(self.beam_center), str(self.beam_center_unit))
192	_str += " Pixel size: %s [%s]\n" % \
193	(str(self.pixel_size), str(self.pixel_size_unit))
194	_str += " Slit length: %s [%s]\n" % \
195	(str(self.slit_length), str(self.slit_length_unit))
196	return _str
197
198	class Aperture:
199	## Name
200	name = None
201	## Type
202	type = None
203	## Size name
204	size_name = None
205	## Aperture size [Vector]
206	size = None
207	size_unit = 'mm'
208	## Aperture distance [float]
209	distance = None
210	distance_unit = 'mm'
211
212	def __init__(self):
213	self.size = Vector()
214
215	class Collimation:
216	"""
217	Class to hold collimation information
218	"""
219	## Name
220	name = None
221	## Length [float] [mm]
222	length = None
223	length_unit = 'mm'
224	## Aperture
225	aperture = None
226
227	def __init__(self):
228	self.aperture = []
229
230	def __str__(self):
231	_str = "Collimation:\n"
232	_str += " Length: %s [%s]\n" % \
233	(str(self.length), str(self.length_unit))
234	for item in self.aperture:
235	_str += " Aperture size:%s [%s]\n" % \
236	(str(item.size), str(item.size_unit))
237	_str += " Aperture_dist:%s [%s]\n" % \
238	(str(item.distance), str(item.distance_unit))
239	return _str
240
241	class Source:
242	"""
243	Class to hold source information
244	"""
245	## Name
246	name = None
247	## Radiation type [string]
248	radiation = None
249	## Beam size name
250	beam_size_name = None
251	## Beam size [Vector] [mm]
252	beam_size = None
253	beam_size_unit = 'mm'
254	## Beam shape [string]
255	beam_shape = None
256	## Wavelength [float] [Angstrom]
257	wavelength = None
258	wavelength_unit = 'A'
259	## Minimum wavelength [float] [Angstrom]
260	wavelength_min = None
261	wavelength_min_unit = 'nm'
262	## Maximum wavelength [float] [Angstrom]
263	wavelength_max = None
264	wavelength_max_unit = 'nm'
265	## Wavelength spread [float] [Angstrom]
266	wavelength_spread = None
267	wavelength_spread_unit = 'percent'
268
269	def __init__(self):
270	self.beam_size = Vector()
271
272
273	def __str__(self):
274	_str = "Source:\n"
275	_str += " Radiation: %s\n" % str(self.radiation)
276	_str += " Shape: %s\n" % str(self.beam_shape)
277	_str += " Wavelength: %s [%s]\n" % \
278	(str(self.wavelength), str(self.wavelength_unit))
279	_str += " Waveln_min: %s [%s]\n" % \
280	(str(self.wavelength_min), str(self.wavelength_min_unit))
281	_str += " Waveln_max: %s [%s]\n" % \
282	(str(self.wavelength_max), str(self.wavelength_max_unit))
283	_str += " Waveln_spread:%s [%s]\n" % \
284	(str(self.wavelength_spread), str(self.wavelength_spread_unit))
285	_str += " Beam_size: %s [%s]\n" % \
286	(str(self.beam_size), str(self.beam_size_unit))
287	return _str
288
289
290	"""
291	Definitions of radiation types
292	"""
293	NEUTRON = 'neutron'
294	XRAY = 'x-ray'
295	MUON = 'muon'
296	ELECTRON = 'electron'
297
298	class Sample:
299	"""
300	Class to hold the sample description
301	"""
302	## Short name for sample
303	name = ''
304	## ID
305	ID = ''
306	## Thickness [float] [mm]
307	thickness = None
308	thickness_unit = 'mm'
309	## Transmission [float] [fraction]
310	transmission = None
311	## Temperature [float] [C]
312	temperature = None
313	temperature_unit = 'C'
314	## Position [Vector] [mm]
315	position = None
316	position_unit = 'mm'
317	## Orientation [Vector] [degrees]
318	orientation = None
319	orientation_unit = 'degree'
320	## Details
321	details = None
322
323	def __init__(self):
324	self.position = Vector()
325	self.orientation = Vector()
326	self.details = []
327
328	def __str__(self):
329	_str = "Sample:\n"
330	_str += " ID: %s\n" % str(self.ID)
331	_str += " Transmission: %s\n" % str(self.transmission)
332	_str += " Thickness: %s [%s]\n" % \
333	(str(self.thickness), str(self.thickness_unit))
334	_str += " Temperature: %s [%s]\n" % \
335	(str(self.temperature), str(self.temperature_unit))
336	_str += " Position: %s [%s]\n" % \
337	(str(self.position), str(self.position_unit))
338	_str += " Orientation: %s [%s]\n" % \
339	(str(self.orientation), str(self.orientation_unit))
340
341	_str += " Details:\n"
342	for item in self.details:
343	_str += " %s\n" % item
344
345	return _str
346
347	class Process:
348	"""
349	Class that holds information about the processes
350	performed on the data.
351	"""
352	name = ''
353	date = ''
354	description= ''
355	term = None
356	notes = None
357
358	def __init__(self):
359	self.term = []
360	self.notes = []
361
362	def __str__(self):
363	_str = "Process:\n"
364	_str += " Name: %s\n" % self.name
365	_str += " Date: %s\n" % self.date
366	_str += " Description: %s\n" % self.description
367	for item in self.term:
368	_str += " Term: %s\n" % item
369	for item in self.notes:
370	_str += " Note: %s\n" % item
371	return _str
372
373
374	class DataInfo:
375	"""
376	Class to hold the data read from a file.
377	It includes four blocks of data for the
378	instrument description, the sample description,
379	the data itself and any other meta data.
380	"""
381	## Title
382	title = ''
383	## Run number
384	run = None
385	## Run name
386	run_name = None
387	## File name
388	filename = ''
389	## Notes
390	notes = None
391	## Processes (Action on the data)
392	process = None
393	## Instrument name
394	instrument = ''
395	## Detector information
396	detector = None
397	## Sample information
398	sample = None
399	## Source information
400	source = None
401	## Collimation information
402	collimation = None
403	## Additional meta-data
404	meta_data = None
405	## Loading errors
406	errors = None
407
408	def __init__(self):
409	"""
410	Initialization
411	"""
412	## Title
413	self.title = ''
414	## Run number
415	self.run = []
416	self.run_name = {}
417	## File name
418	self.filename = ''
419	## Notes
420	self.notes = []
421	## Processes (Action on the data)
422	self.process = []
423	## Instrument name
424	self.instrument = ''
425	## Detector information
426	self.detector = []
427	## Sample information
428	self.sample = Sample()
429	## Source information
430	self.source = Source()
431	## Collimation information
432	self.collimation = []
433	## Additional meta-data
434	self.meta_data = {}
435	## Loading errors
436	self.errors = []
437
438	def __str__(self):
439	"""
440	Nice printout
441	"""
442	_str = "File: %s\n" % self.filename
443	_str += "Title: %s\n" % self.title
444	_str += "Run: %s\n" % str(self.run)
445	_str += "Instrument: %s\n" % str(self.instrument)
446	_str += "%s\n" % str(self.sample)
447	_str += "%s\n" % str(self.source)
448	for item in self.detector:
449	_str += "%s\n" % str(item)
450	for item in self.collimation:
451	_str += "%s\n" % str(item)
452	for item in self.process:
453	_str += "%s\n" % str(item)
454	for item in self.notes:
455	_str += "%s\n" % str(item)
456
457	return _str
458
459	# Private method to perform operation. Not implemented for DataInfo,
460	# but should be implemented for each data class inherited from DataInfo
461	# that holds actual data (ex.: Data1D)
462	def _perform_operation(self, other, operation): return NotImplemented
463
464	def __add__(self, other):
465	"""
466	Add two data sets
467
468	:param other: data set to add to the current one
469	:return: new data set
470	:raise ValueError: raised when two data sets are incompatible
471	"""
472	def operation(a, b): return a+b
473	return self._perform_operation(other, operation)
474
475	def __radd__(self, other):
476	"""
477	Add two data sets
478
479	:param other: data set to add to the current one
480
481	:return: new data set
482
483	:raise ValueError: raised when two data sets are incompatible
484
485	"""
486	def operation(a, b): return b+a
487	return self._perform_operation(other, operation)
488
489	def __sub__(self, other):
490	"""
491	Subtract two data sets
492
493	:param other: data set to subtract from the current one
494
495	:return: new data set
496
497	:raise ValueError: raised when two data sets are incompatible
498
499	"""
500	def operation(a, b): return a-b
501	return self._perform_operation(other, operation)
502
503	def __rsub__(self, other):
504	"""
505	Subtract two data sets
506
507	:param other: data set to subtract from the current one
508
509	:return: new data set
510
511	:raise ValueError: raised when two data sets are incompatible
512
513	"""
514	def operation(a, b): return b-a
515	return self._perform_operation(other, operation)
516
517	def __mul__(self, other):
518	"""
519	Multiply two data sets
520
521	:param other: data set to subtract from the current one
522
523	:return: new data set
524
525	:raise ValueError: raised when two data sets are incompatible
526
527	"""
528	def operation(a, b): return a*b
529	return self._perform_operation(other, operation)
530
531	def __rmul__(self, other):
532	"""
533	Multiply two data sets
534
535	:param other: data set to subtract from the current one
536
537	:return: new data set
538
539	:raise ValueError: raised when two data sets are incompatible
540	"""
541	def operation(a, b): return b*a
542	return self._perform_operation(other, operation)
543
544	def __div__(self, other):
545	"""
546	Divided a data set by another
547
548	:param other: data set that the current one is divided by
549
550	:return: new data set
551
552	:raise ValueError: raised when two data sets are incompatible
553
554	"""
555	def operation(a, b): return a/b
556	return self._perform_operation(other, operation)
557
558	def __rdiv__(self, other):
559	"""
560	Divided a data set by another
561
562	:param other: data set that the current one is divided by
563
564	:return: new data set
565
566	:raise ValueError: raised when two data sets are incompatible
567
568	"""
569	def operation(a, b): return b/a
570	return self._perform_operation(other, operation)
571
572	class Data1D(plottable_1D, DataInfo):
573	"""
574	1D data class
575	"""
576	x_unit = '1/A'
577	y_unit = '1/cm'
578
579	def __init__(self, x, y, dx=None, dy=None):
580	DataInfo.__init__(self)
581	plottable_1D.__init__(self, x, y, dx, dy)
582
583
584	def __str__(self):
585	"""
586	Nice printout
587	"""
588	_str = "%s\n" % DataInfo.__str__(self)
589
590	_str += "Data:\n"
591	_str += " Type: %s\n" % self.__class__.__name__
592	_str += " X-axis: %s\t[%s]\n" % (self._xaxis, self._xunit)
593	_str += " Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit)
594	_str += " Length: %g\n" % len(self.x)
595
596	return _str
597
598	def is_slit_smeared(self):
599	"""
600	Check whether the data has slit smearing information
601
602	:return: True is slit smearing info is present, False otherwise
603
604	"""
605	def _check(v):
606	if (v.__class__==list or v.__class__==numpy.ndarray) \
607	and len(v)>0 and min(v)>0:
608	return True
609
610	return False
611
612	return _check(self.dxl) or _check(self.dxw)
613
614	def clone_without_data(self, length=0, clone=None):
615	"""
616	Clone the current object, without copying the data (which
617	will be filled out by a subsequent operation).
618	The data arrays will be initialized to zero.
619
620	:param length: length of the data array to be initialized
621	:param clone: if provided, the data will be copied to clone
622	"""
623	from copy import deepcopy
624
625	if clone is None or not issubclass(clone.__class__, Data1D):
626	x = numpy.zeros(length)
627	dx = numpy.zeros(length)
628	y = numpy.zeros(length)
629	dy = numpy.zeros(length)
630	clone = Data1D(x, y, dx=dx, dy=dy)
631
632	clone.title = self.title
633	clone.run = self.run
634	clone.filename = self.filename
635	clone.notes = deepcopy(self.notes)
636	clone.process = deepcopy(self.process)
637	clone.detector = deepcopy(self.detector)
638	clone.sample = deepcopy(self.sample)
639	clone.source = deepcopy(self.source)
640	clone.collimation = deepcopy(self.collimation)
641	clone.meta_data = deepcopy(self.meta_data)
642	clone.errors = deepcopy(self.errors)
643
644	return clone
645
646	def _validity_check(self, other):
647	"""
648	Checks that the data lengths are compatible.
649	Checks that the x vectors are compatible.
650	Returns errors vectors equal to original
651	errors vectors if they were present or vectors
652	of zeros when none was found.
653
654	:param other: other data set for operation
655
656	:return: dy for self, dy for other [numpy arrays]
657
658	:raise ValueError: when lengths are not compatible
659
660	"""
661	dy_other = None
662	if isinstance(other, Data1D):
663	# Check that data lengths are the same
664	if len(self.x) != len(other.x) or \
665	len(self.y) != len(other.y):
666	raise ValueError, "Unable to perform operation: data length are not equal"
667
668	# Here we could also extrapolate between data points
669	for i in range(len(self.x)):
670	if self.x[i] != other.x[i]:
671	raise ValueError, "Incompatible data sets: x-values do not match"
672
673	# Check that the other data set has errors, otherwise
674	# create zero vector
675	dy_other = other.dy
676	if other.dy==None or (len(other.dy) != len(other.y)):
677	dy_other = numpy.zeros(len(other.y))
678
679	# Check that we have errors, otherwise create zero vector
680	dy = self.dy
681	if self.dy==None or (len(self.dy) != len(self.y)):
682	dy = numpy.zeros(len(self.y))
683
684	return dy, dy_other
685
686	def _perform_operation(self, other, operation):
687	"""
688	"""
689	# First, check the data compatibility
690	dy, dy_other = self._validity_check(other)
691	result = self.clone_without_data(len(self.x))
692
693	for i in range(len(self.x)):
694	result.x[i] = self.x[i]
695	if self.dx is not None and len(self.x)==len(self.dx):
696	result.dx[i] = self.dx[i]
697
698	a = Uncertainty(self.y[i], dy[i]**2)
699	if isinstance(other, Data1D):
700	b = Uncertainty(other.y[i], dy_other[i]**2)
701	else:
702	b = other
703
704	output = operation(a, b)
705	result.y[i] = output.x
706	result.dy[i] = math.sqrt(math.fabs(output.variance))
707	return result
708
709	class Data2D(plottable_2D, DataInfo):
710	"""
711	2D data class
712	"""
713	## Units for Q-values
714	Q_unit = '1/A'
715
716	## Units for I(Q) values
717	I_unit = '1/cm'
718
719	## Vector of Q-values at the center of each bin in x
720	x_bins = None
721
722	## Vector of Q-values at the center of each bin in y
723	y_bins = None
724
725
726	def __init__(self, data=None, err_data=None, qx_data=None, qy_data=None, q_data=None, mask=None, dqx_data=None, dqy_data=None):
727	self.y_bins = []
728	self.x_bins = []
729	DataInfo.__init__(self)
730	plottable_2D.__init__(self, data, err_data, qx_data, qy_data, q_data,mask, dqx_data, dqy_data)
731	if len(self.detector)>0:
732	raise RuntimeError, "Data2D: Detector bank already filled at init"
733
734	def __str__(self):
735	_str = "%s\n" % DataInfo.__str__(self)
736
737	_str += "Data:\n"
738	_str += " Type: %s\n" % self.__class__.__name__
739	_str += " X- & Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit)
740	_str += " Z-axis: %s\t[%s]\n" % (self._zaxis, self._zunit)
741	leny = 0
742	if len(self.data)>0:
743	leny = len(self.data)
744	_str += " Length: %g \n" % (len(self.data))
745
746	return _str
747
748	def clone_without_data(self, length=0, clone=None):
749	"""
750	Clone the current object, without copying the data (which
751	will be filled out by a subsequent operation).
752	The data arrays will be initialized to zero.
753
754	:param length: length of the data array to be initialized
755	:param clone: if provided, the data will be copied to clone
756	"""
757	from copy import deepcopy
758
759	if clone is None or not issubclass(clone.__class__, Data2D):
760	data = numpy.zeros(length)
761	err_data = numpy.zeros(length)
762	qx_data = numpy.zeros(length)
763	qy_data = numpy.zeros(length)
764	q_data = numpy.zeros(length)
765	mask = numpy.zeros(length)
766	dqx_data = None
767	dqy_data = None
768	clone = Data2D(data, err_data, qx_data, qy_data, q_data,mask, dqx_data=dqx_data, dqy_data=dqy_data)
769
770	clone.title = self.title
771	clone.run = self.run
772	clone.filename = self.filename
773	clone.notes = deepcopy(self.notes)
774	clone.process = deepcopy(self.process)
775	clone.detector = deepcopy(self.detector)
776	clone.sample = deepcopy(self.sample)
777	clone.source = deepcopy(self.source)
778	clone.collimation = deepcopy(self.collimation)
779	clone.meta_data = deepcopy(self.meta_data)
780	clone.errors = deepcopy(self.errors)
781
782	return clone
783
784
785	def _validity_check(self, other):
786	"""
787	Checks that the data lengths are compatible.
788	Checks that the x vectors are compatible.
789	Returns errors vectors equal to original
790	errors vectors if they were present or vectors
791	of zeros when none was found.
792
793	:param other: other data set for operation
794
795	:return: dy for self, dy for other [numpy arrays]
796
797	:raise ValueError: when lengths are not compatible
798
799	"""
800	err_other = None
801	if isinstance(other, Data2D):
802	# Check that data lengths are the same
803	if numpy.size(self.data) != numpy.size(other.data):
804	raise ValueError, "Unable to perform operation: data length are not equal"
805
806	# Check that the scales match
807	#TODO: matching scales?
808
809	# Check that the other data set has errors, otherwise
810	# create zero vector
811	#TODO: test this
812	err_other = other.err_data
813	if other.err_data==None or (numpy.size(other.err_data) != numpy.size(other.data)):
814	err_other = numpy.zeros([numpy.size(other.data,0), numpy.size(other.data,1)])
815
816	# Check that we have errors, otherwise create zero vector
817	err = self.err_data
818	if self.err_data==None or (numpy.size(self.err_data) != numpy.size(self.data)):
819	err = numpy.zeros([numpy.size(self.data,0), numpy.size(self.data,1)])
820
821	return err, err_other
822
823
824	def _perform_operation(self, other, operation):
825	"""
826	Perform 2D operations between data sets
827
828	:param other: other data set
829	:param operation: function defining the operation
830
831	"""
832	# First, check the data compatibility
833	dy, dy_other = self._validity_check(other)
834
835	result = self.clone_without_data([numpy.size(self.data,0), numpy.size(self.data,1)])
836
837	for i in range(numpy.size(self.data,0)):
838	for j in range(numpy.size(self.data,1)):
839	result.data[i][j] = self.data[i][j]
840	if self.err_data is not None and numpy.size(self.data)==numpy.size(self.err_data):
841	result.err_data[i][j] = self.err_data[i][j]
842
843	a = Uncertainty(self.data[i][j], dy[i][j]**2)
844	if isinstance(other, Data2D):
845	b = Uncertainty(other.data[i][j], dy_other[i][j]**2)
846	else:
847	b = other
848
849	output = operation(a, b)
850	result.data[i][j] = output.x
851	result.err_data[i][j] = math.sqrt(math.fabs(output.variance))
852	return result
853
854
855

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SasView

source: sasview/DataLoader/data_info.py @ c4dd2fe

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