abs_reader.py @ ca10d8e

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 ca10d8e was ca10d8e, checked in by Gervaise Alina <gervyh@…>, 15 years ago
reverse code from version 1237 with modification on output axis unit
Property mode set to `100644`
File size: 9.5 KB

Rev	Line
[d8a5f12]	1	"""
	2	This software was developed by the University of Tennessee as part of the
	3	Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
	4	project funded by the US National Science Foundation.
	5
	6	See the license text in license.txt
	7
	8	copyright 2008, University of Tennessee
	9	"""
	10
	11	import numpy
	12	import os
[99d1af6]	13	from DataLoader.data_info import Data1D, Detector
[d8a5f12]	14
[99d1af6]	15	has_converter = True
	16	try:
	17	from data_util.nxsunit import Converter
	18	except:
	19	has_converter = False
	20
[d8a5f12]	21	class Reader:
	22	"""
	23	Class to load IGOR reduced .ABS files
	24	"""
[8780e9a]	25	## File type
	26	type = ["IGOR 1D files (.abs)\|.abs"]
[d8a5f12]	27	## List of allowed extensions
[8bd8ea4]	28	ext=['.abs', '.ABS']
[d8a5f12]	29
	30	def read(self, path):
	31	"""
	32	Load data file
	33
	34	@param path: file path
	35	@return: Data1D object, or None
	36	@raise RuntimeError: when the file can't be opened
	37	@raise ValueError: when the length of the data vectors are inconsistent
	38	"""
	39	if os.path.isfile(path):
	40	basename = os.path.basename(path)
	41	root, extension = os.path.splitext(basename)
	42	if extension.lower() in self.ext:
	43	try:
	44	input_f = open(path,'r')
	45	except :
	46	raise RuntimeError, "abs_reader: cannot open %s" % path
	47	buff = input_f.read()
	48	lines = buff.split('\n')
	49	x = numpy.zeros(0)
	50	y = numpy.zeros(0)
	51	dy = numpy.zeros(0)
	52	output = Data1D(x, y, dy=dy)
[99d1af6]	53	detector = Detector()
	54	output.detector.append(detector)
[b99ac227]	55	output.filename = basename
[d8a5f12]	56
	57	is_info = False
	58	is_center = False
	59	is_data_started = False
	60
[99d1af6]	61	data_conv_q = None
	62	data_conv_i = None
	63
[ca10d8e]	64	if has_converter == True and output.x_unit != '1/A':
	65	data_conv_q = Converter('1/A')
[99d1af6]	66	# Test it
	67	data_conv_q(1.0, output.x_unit)
	68
[ca10d8e]	69	if has_converter == True and output.y_unit != '1/cm':
	70	data_conv_i = Converter('1/cm')
[99d1af6]	71	# Test it
	72	data_conv_i(1.0, output.y_unit)
	73
[d8a5f12]	74	for line in lines:
	75
	76	# Information line 1
	77	if is_info==True:
	78	is_info = False
	79	line_toks = line.split()
	80
	81	# Wavelength in Angstrom
	82	try:
[99d1af6]	83	value = float(line_toks[1])
	84	if has_converter==True and output.source.wavelength_unit != 'A':
	85	conv = Converter('A')
	86	output.source.wavelength = conv(value, units=output.source.wavelength_unit)
	87	else:
	88	output.source.wavelength = value
[d8a5f12]	89	except:
	90	raise ValueError,"IgorReader: can't read this file, missing wavelength"
	91
	92	# Distance in meters
	93	try:
[99d1af6]	94	value = float(line_toks[3])
	95	if has_converter==True and detector.distance_unit != 'm':
	96	conv = Converter('m')
	97	detector.distance = conv(value, units=detector.distance_unit)
	98	else:
	99	detector.distance = value
[d8a5f12]	100	except:
	101	raise ValueError,"IgorReader: can't read this file, missing distance"
	102
[99d1af6]	103	# Transmission
[d8a5f12]	104	try:
	105	output.sample.transmission = float(line_toks[4])
	106	except:
	107	# Transmission is not a mandatory entry
	108	pass
	109
[99d1af6]	110	# Thickness in mm
[d8a5f12]	111	try:
[99d1af6]	112	value = float(line_toks[5])
[b99ac227]	113	if has_converter==True and output.sample.thickness_unit != 'cm':
	114	conv = Converter('cm')
[99d1af6]	115	output.sample.thickness = conv(value, units=output.sample.thickness_unit)
	116	else:
	117	output.sample.thickness = value
[d8a5f12]	118	except:
	119	# Thickness is not a mandatory entry
	120	pass
	121
	122	#MON CNT LAMBDA DET ANG DET DIST TRANS THICK AVE STEP
	123	if line.count("LAMBDA")>0:
	124	is_info = True
	125
	126	# Find center info line
	127	if is_center==True:
	128	is_center = False
	129	line_toks = line.split()
	130	# Center in bin number
	131	center_x = float(line_toks[0])
	132	center_y = float(line_toks[1])
[99d1af6]	133
	134	# Bin size
	135	if has_converter==True and detector.pixel_size_unit != 'mm':
	136	conv = Converter('mm')
	137	detector.pixel_size.x = conv(5.0, units=detector.pixel_size_unit)
	138	detector.pixel_size.y = conv(5.0, units=detector.pixel_size_unit)
	139	else:
	140	detector.pixel_size.x = 5.0
	141	detector.pixel_size.y = 5.0
	142
	143	# Store beam center in distance units
	144	# Det 640 x 640 mm
	145	if has_converter==True and detector.beam_center_unit != 'mm':
	146	conv = Converter('mm')
	147	detector.beam_center.x = conv(center_x*5.0, units=detector.beam_center_unit)
	148	detector.beam_center.y = conv(center_y*5.0, units=detector.beam_center_unit)
	149	else:
	150	detector.beam_center.x = center_x*5.0
	151	detector.beam_center.y = center_y*5.0
[d8a5f12]	152
	153	# Detector type
	154	try:
[99d1af6]	155	detector.name = line_toks[7]
[d8a5f12]	156	except:
	157	# Detector name is not a mandatory entry
	158	pass
	159
	160	#BCENT(X,Y) A1(mm) A2(mm) A1A2DIST(m) DL/L BSTOP(mm) DET_TYP
	161	if line.count("BCENT")>0:
	162	is_center = True
	163
	164	# Parse the data
	165	if is_data_started==True:
	166	toks = line.split()
	167	try:
	168	_x = float(toks[0])
	169	_y = float(toks[1])
	170	_dy = float(toks[2])
[99d1af6]	171
	172	if data_conv_q is not None:
	173	_x = data_conv_q(_x, units=output.x_unit)
	174
	175	if data_conv_i is not None:
	176	_y = data_conv_i(_y, units=output.y_unit)
	177	_dy = data_conv_i(_dy, units=output.y_unit)
[d8a5f12]	178
	179	x = numpy.append(x, _x)
	180	y = numpy.append(y, _y)
	181	dy = numpy.append(dy, _dy)
	182	except:
	183	# Could not read this data line. If we are here
	184	# it is because we are in the data section. Just
	185	# skip it.
	186	pass
	187
	188	#The 6 columns are \| Q (1/A) \| I(Q) (1/cm) \| std. dev. I(Q) (1/cm) \| sigmaQ \| meanQ \| ShadowFactor\|
	189	if line.count("The 6 columns")>0:
	190	is_data_started = True
	191
	192	# Sanity check
	193	if not len(y) == len(dy):
	194	raise ValueError, "abs_reader: y and dy have different length"
[8bd8ea4]	195
	196	# If the data length is zero, consider this as
	197	# though we were not able to read the file.
	198	if len(x)==0:
	199	raise ValueError, "ascii_reader: could not load file"
[d8a5f12]	200
	201	output.x = x
	202	output.y = y
	203	output.dy = dy
[99d1af6]	204	if data_conv_q is not None:
	205	output.xaxis("\\rm{Q}", output.x_unit)
	206	else:
	207	output.xaxis("\\rm{Q}", 'A^{-1}')
	208	if data_conv_i is not None:
	209	output.yaxis("\\{I(Q)}", output.y_unit)
	210	else:
	211	output.yaxis("\\rm{I(Q)}","cm^{-1}")
[d8a5f12]	212
	213	return output
	214	else:
	215	raise RuntimeError, "%s is not a file" % path
	216	return None
	217
	218	if __name__ == "__main__":
	219	reader = Reader()
	220	print reader.read("../test/jan08002.ABS")
	221
	222
	223

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source: sasview/DataLoader/readers/abs_reader.py @ ca10d8e

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