abs_reader.py @ ed2276f

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since ed2276f was 9a5097c, checked in by andyfaff, 8 years ago
MAINT: import numpy as np
Property mode set to `100644`
File size: 10.8 KB

Line
1	"""
2	"""
3	#####################################################################
4	#This software was developed by the University of Tennessee as part of the
5	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
6	#project funded by the US National Science Foundation.
7	#See the license text in license.txt
8	#copyright 2008, University of Tennessee
9	######################################################################
10
11	import numpy as np
12	import os
13	from sas.sascalc.dataloader.data_info import Data1D
14	from sas.sascalc.dataloader.data_info import Detector
15
16	has_converter = True
17	try:
18	from sas.sascalc.data_util.nxsunit import Converter
19	except:
20	has_converter = False
21
22
23	class Reader:
24	"""
25	Class to load IGOR reduced .ABS files
26	"""
27	## File type
28	type_name = "IGOR 1D"
29	## Wildcards
30	type = ["IGOR 1D files (.abs)\|.abs"]
31	## List of allowed extensions
32	ext = ['.abs', '.ABS']
33
34	def read(self, path):
35	"""
36	Load data file.
37
38	:param path: file path
39
40	:return: Data1D object, or None
41
42	:raise RuntimeError: when the file can't be opened
43	:raise ValueError: when the length of the data vectors are inconsistent
44	"""
45	if os.path.isfile(path):
46	basename = os.path.basename(path)
47	root, extension = os.path.splitext(basename)
48	if extension.lower() in self.ext:
49	try:
50	input_f = open(path,'r')
51	except:
52	raise RuntimeError, "abs_reader: cannot open %s" % path
53	buff = input_f.read()
54	lines = buff.split('\n')
55	x = np.zeros(0)
56	y = np.zeros(0)
57	dy = np.zeros(0)
58	dx = np.zeros(0)
59	output = Data1D(x, y, dy=dy, dx=dx)
60	detector = Detector()
61	output.detector.append(detector)
62	output.filename = basename
63
64	is_info = False
65	is_center = False
66	is_data_started = False
67
68	data_conv_q = None
69	data_conv_i = None
70
71	if has_converter == True and output.x_unit != '1/A':
72	data_conv_q = Converter('1/A')
73	# Test it
74	data_conv_q(1.0, output.x_unit)
75
76	if has_converter == True and output.y_unit != '1/cm':
77	data_conv_i = Converter('1/cm')
78	# Test it
79	data_conv_i(1.0, output.y_unit)
80
81	for line in lines:
82
83	# Information line 1
84	if is_info == True:
85	is_info = False
86	line_toks = line.split()
87
88	# Wavelength in Angstrom
89	try:
90	value = float(line_toks[1])
91	if has_converter == True and \
92	output.source.wavelength_unit != 'A':
93	conv = Converter('A')
94	output.source.wavelength = conv(value,
95	units=output.source.wavelength_unit)
96	else:
97	output.source.wavelength = value
98	except:
99	#goes to ASC reader
100	msg = "abs_reader: cannot open %s" % path
101	raise RuntimeError, msg
102
103	# Distance in meters
104	try:
105	value = float(line_toks[3])
106	if has_converter == True and \
107	detector.distance_unit != 'm':
108	conv = Converter('m')
109	detector.distance = conv(value,
110	units=detector.distance_unit)
111	else:
112	detector.distance = value
113	except:
114	#goes to ASC reader
115	msg = "abs_reader: cannot open %s" % path
116	raise RuntimeError, msg
117	# Transmission
118	try:
119	output.sample.transmission = float(line_toks[4])
120	except:
121	# Transmission is not a mandatory entry
122	pass
123
124	# Thickness in mm
125	try:
126	value = float(line_toks[5])
127	if has_converter == True and \
128	output.sample.thickness_unit != 'cm':
129	conv = Converter('cm')
130	output.sample.thickness = conv(value,
131	units=output.sample.thickness_unit)
132	else:
133	output.sample.thickness = value
134	except:
135	# Thickness is not a mandatory entry
136	pass
137
138	#MON CNT LAMBDA DET ANG DET DIST TRANS THICK
139	# AVE STEP
140	if line.count("LAMBDA") > 0:
141	is_info = True
142
143	# Find center info line
144	if is_center == True:
145	is_center = False
146	line_toks = line.split()
147	# Center in bin number
148	center_x = float(line_toks[0])
149	center_y = float(line_toks[1])
150
151	# Bin size
152	if has_converter == True and \
153	detector.pixel_size_unit != 'mm':
154	conv = Converter('mm')
155	detector.pixel_size.x = conv(5.0,
156	units=detector.pixel_size_unit)
157	detector.pixel_size.y = conv(5.0,
158	units=detector.pixel_size_unit)
159	else:
160	detector.pixel_size.x = 5.0
161	detector.pixel_size.y = 5.0
162
163	# Store beam center in distance units
164	# Det 640 x 640 mm
165	if has_converter == True and \
166	detector.beam_center_unit != 'mm':
167	conv = Converter('mm')
168	detector.beam_center.x = conv(center_x * 5.0,
169	units=detector.beam_center_unit)
170	detector.beam_center.y = conv(center_y * 5.0,
171	units=detector.beam_center_unit)
172	else:
173	detector.beam_center.x = center_x * 5.0
174	detector.beam_center.y = center_y * 5.0
175
176	# Detector type
177	try:
178	detector.name = line_toks[7]
179	except:
180	# Detector name is not a mandatory entry
181	pass
182
183	#BCENT(X,Y) A1(mm) A2(mm) A1A2DIST(m) DL/L
184	# BSTOP(mm) DET_TYP
185	if line.count("BCENT") > 0:
186	is_center = True
187
188	# Parse the data
189	if is_data_started == True:
190	toks = line.split()
191
192	try:
193	_x = float(toks[0])
194	_y = float(toks[1])
195	_dy = float(toks[2])
196	_dx = float(toks[3])
197
198	if data_conv_q is not None:
199	_x = data_conv_q(_x, units=output.x_unit)
200	_dx = data_conv_i(_dx, units=output.x_unit)
201
202	if data_conv_i is not None:
203	_y = data_conv_i(_y, units=output.y_unit)
204	_dy = data_conv_i(_dy, units=output.y_unit)
205
206	x = np.append(x, _x)
207	y = np.append(y, _y)
208	dy = np.append(dy, _dy)
209	dx = np.append(dx, _dx)
210
211	except:
212	# Could not read this data line. If we are here
213	# it is because we are in the data section. Just
214	# skip it.
215	pass
216
217	#The 6 columns are \| Q (1/A) \| I(Q) (1/cm) \| std. dev.
218	# I(Q) (1/cm) \| sigmaQ \| meanQ \| ShadowFactor\|
219	if line.count("The 6 columns") > 0:
220	is_data_started = True
221
222	# Sanity check
223	if not len(y) == len(dy):
224	msg = "abs_reader: y and dy have different length"
225	raise ValueError, msg
226	# If the data length is zero, consider this as
227	# though we were not able to read the file.
228	if len(x) == 0:
229	raise ValueError, "ascii_reader: could not load file"
230
231	output.x = x[x != 0]
232	output.y = y[x != 0]
233	output.dy = dy[x != 0]
234	output.dx = dx[x != 0]
235	if data_conv_q is not None:
236	output.xaxis("\\rm{Q}", output.x_unit)
237	else:
238	output.xaxis("\\rm{Q}", 'A^{-1}')
239	if data_conv_i is not None:
240	output.yaxis("\\rm{Intensity}", output.y_unit)
241	else:
242	output.yaxis("\\rm{Intensity}", "cm^{-1}")
243
244	# Store loading process information
245	output.meta_data['loader'] = self.type_name
246	return output
247	else:
248	raise RuntimeError, "%s is not a file" % path
249	return None

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/src/sas/sascalc/dataloader/readers/abs_reader.py @ ed2276f

Download in other formats: