IgorReader.py @ 264df67

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 264df67 was b568ec1b, checked in by Jae Cho <jhjcho@…>, 16 years ago
The titles and units on 2d plots are corrected.
Property mode set to `100644`
File size: 9.6 KB

Line
1	"""
2	IGOR 2D reduced file reader
3	"""
4
5	"""
6	This software was developed by the University of Tennessee as part of the
7	Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
8	project funded by the US National Science Foundation.
9
10	If you use DANSE applications to do scientific research that leads to
11	publication, we ask that you acknowledge the use of the software with the
12	following sentence:
13
14	"This work benefited from DANSE software developed under NSF award DMR-0520547."
15
16	copyright 2008, University of Tennessee
17	"""
18
19	import os, sys
20	import numpy
21	import math, logging
22	from DataLoader.data_info import Data2D, Detector
23
24	# Look for unit converter
25	has_converter = True
26	try:
27	from data_util.nxsunit import Converter
28	except:
29	has_converter = False
30
31	class Reader:
32	""" Simple data reader for Igor data files """
33	## File type
34	type = ["IGOR 2D files (.ASC)\|.ASC"]
35	## Extension
36	ext=['.ASC', '.asc']
37
38	def read(self,filename=None):
39	""" Read file """
40	if not os.path.isfile(filename):
41	raise ValueError, \
42	"Specified file %s is not a regular file" % filename
43
44	# Read file
45	f = open(filename,'r')
46	buf = f.read()
47
48	# Instantiate data object
49	output = Data2D()
50	output.filename = os.path.basename(filename)
51	detector = Detector()
52	if len(output.detector)>0: print str(output.detector[0])
53	output.detector.append(detector)
54
55	# Get content
56	dataStarted = False
57
58
59	lines = buf.split('\n')
60	itot = 0
61	x = []
62	y = []
63
64	ncounts = 0
65
66	xmin = None
67	xmax = None
68	ymin = None
69	ymax = None
70
71	i_x = 0
72	i_y = -1
73	i_tot_row = 0
74
75	isInfo = False
76	isCenter = False
77
78	data_conv_q = None
79	data_conv_i = None
80
81	if has_converter == True and output.Q_unit != 'A^{-1}':
82	data_conv_q = Converter('A^{-1}')
83	# Test it
84	data_conv_q(1.0, output.Q_unit)
85
86	if has_converter == True and output.I_unit != 'cm^{-1}':
87	data_conv_i = Converter('cm^{-1}')
88	# Test it
89	data_conv_i(1.0, output.I_unit)
90
91	for line in lines:
92
93	# Find setup info line
94	if isInfo:
95	isInfo = False
96	line_toks = line.split()
97	# Wavelength in Angstrom
98	try:
99	wavelength = float(line_toks[1])
100	except:
101	raise ValueError,"IgorReader: can't read this file, missing wavelength"
102
103	#Find # of bins in a row assuming the detector is square.
104	if dataStarted == True:
105	try:
106	value = float(line)
107	except:
108	# Found a non-float entry, skip it
109	continue
110
111	# Get total bin number
112
113	i_tot_row += 1
114	i_tot_row=math.ceil(math.sqrt(i_tot_row))-1
115	#print "i_tot", i_tot_row
116	size_x = i_tot_row#192#128
117	size_y = i_tot_row#192#128
118	output.data = numpy.zeros([size_x,size_y])
119	output.err_data = numpy.zeros([size_x,size_y])
120
121	#Read Header and 2D data
122	for line in lines:
123	# Find setup info line
124	if isInfo:
125	isInfo = False
126	line_toks = line.split()
127	# Wavelength in Angstrom
128	try:
129	wavelength = float(line_toks[1])
130	except:
131	raise ValueError,"IgorReader: can't read this file, missing wavelength"
132	# Distance in meters
133	try:
134	distance = float(line_toks[3])
135	except:
136	raise ValueError,"IgorReader: can't read this file, missing distance"
137
138	# Distance in meters
139	try:
140	transmission = float(line_toks[4])
141	except:
142	raise ValueError,"IgorReader: can't read this file, missing transmission"
143
144	if line.count("LAMBDA")>0:
145	isInfo = True
146
147	# Find center info line
148	if isCenter:
149	isCenter = False
150	line_toks = line.split()
151	# Center in bin number
152	center_x = float(line_toks[0])
153	center_y = float(line_toks[1])
154
155	if line.count("BCENT")>0:
156	isCenter = True
157
158
159	# Find data start
160	if line.count("***")>0:
161	dataStarted = True
162
163	# Check that we have all the info
164	if wavelength == None \
165	or distance == None \
166	or center_x == None \
167	or center_y == None:
168	raise ValueError, "IgorReader:Missing information in data file"
169
170	if dataStarted == True:
171	try:
172	value = float(line)
173	except:
174	# Found a non-float entry, skip it
175	continue
176
177	# Get bin number
178	if math.fmod(itot, i_tot_row)==0:
179	i_x = 0
180	i_y += 1
181	else:
182	i_x += 1
183
184	output.data[i_y][i_x] = value
185	ncounts += 1
186
187	# Det 640 x 640 mm
188	# Q = 4pi/lambda sin(theta/2)
189	# Bin size is 0.5 cm
190	theta = (i_x-center_x+1)*0.5 / distance / 100.0
191	qx = 4.0math.pi/wavelength math.sin(theta/2.0)
192
193	if has_converter == True and output.Q_unit != 'A^{-1}':
194	qx = data_conv_q(qx, units=output.Q_unit)
195
196	if xmin==None or qx<xmin:
197	xmin = qx
198	if xmax==None or qx>xmax:
199	xmax = qx
200
201	theta = (i_y-center_y+1)*0.5 / distance / 100.0
202	qy = 4.0math.pi/wavelength math.sin(theta/2.0)
203
204	if has_converter == True and output.Q_unit != 'A^{-1}':
205	qy = data_conv_q(qy, units=output.Q_unit)
206
207	if ymin==None or qy<ymin:
208	ymin = qy
209	if ymax==None or qy>ymax:
210	ymax = qy
211
212	if not qx in x:
213	x.append(qx)
214	if not qy in y:
215	y.append(qy)
216
217	itot += 1
218
219
220	theta = 0.25 / distance / 100.0
221	xstep = 4.0math.pi/wavelength math.sin(theta/2.0)
222
223	theta = 0.25 / distance / 100.0
224	ystep = 4.0math.pi/wavelength math.sin(theta/2.0)
225
226	# Store all data ######################################
227	# Store wavelength
228	if has_converter==True and output.source.wavelength_unit != 'A':
229	conv = Converter('A')
230	wavelength = conv(wavelength, units=output.source.wavelength_unit)
231	output.source.wavelength = wavelength
232
233	# Store distance
234	if has_converter==True and detector.distance_unit != 'm':
235	conv = Converter('m')
236	distance = conv(distance, units=detector.distance_unit)
237	detector.distance = distance
238
239	# Store transmission
240	output.sample.transmission = transmission
241
242	# Store pixel size
243	pixel = 5.0
244	if has_converter==True and detector.pixel_size_unit != 'mm':
245	conv = Converter('mm')
246	pixel = conv(pixel, units=detector.pixel_size_unit)
247	detector.pixel_size.x = pixel
248	detector.pixel_size.y = pixel
249
250	# Store beam center in distance units
251	detector.beam_center.x = center_x*pixel
252	detector.beam_center.y = center_y*pixel
253
254
255	# Store limits of the image (2D array)
256	xmin =xmin-xstep/2.0
257	xmax =xmax+xstep/2.0
258	ymin =ymin-ystep/2.0
259	ymax =ymax+ystep/2.0
260	if has_converter == True and output.Q_unit != 'A^{-1}':
261	xmin = data_conv_q(xmin, units=output.Q_unit)
262	xmax = data_conv_q(xmax, units=output.Q_unit)
263	ymin = data_conv_q(ymin, units=output.Q_unit)
264	ymax = data_conv_q(ymax, units=output.Q_unit)
265	output.xmin = xmin
266	output.xmax = xmax
267	output.ymin = ymin
268	output.ymax = ymax
269
270	# Store x and y axis bin centers
271	output.x_bins = x
272	output.y_bins = y
273
274	# Units
275	if data_conv_q is not None:
276	output.xaxis("\\rm{Q_{x}}", output.Q_unit)
277	output.yaxis("\\rm{Q_{y}}", output.Q_unit)
278	else:
279	output.xaxis("\\rm{Q_{x}}", 'A^{-1}')
280	output.yaxis("\\rm{Q_{y}}", 'A^{-1}')
281
282	if data_conv_i is not None:
283	output.zaxis("\\{I(Q)}", output.I_unit)
284	else:
285	output.zaxis("\\rm{I(Q)}","cm^{-1}")
286
287
288	return output
289
290	if __name__ == "__main__":
291	reader = Reader()
292	print reader.read("../test/MAR07232_rest.ASC")
293

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source: sasview/DataLoader/readers/IgorReader.py @ 264df67

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