Source code for sas.sascalc.file_converter.ascii2d_loader
"""
ASCII 2D Loader
"""
from sas.sascalc.dataloader.data_info import Data2D
from sas.sascalc.file_converter.nxcansas_writer import NXcanSASWriter
import numpy as np
# ISIS 2D ASCII File Format
# http://www.isis.stfc.ac.uk/instruments/loq/software/colette-ascii-file-format-descriptions9808.pdf
# line: property
# 0: File header
# 1: q_x axis label and units
# 2: q_y axis label and units
# 3: Intensity axis label and units
# 4: n_use_rec - number of lines of user content following this line
# 5 to (5+n_use_rec): user content
# Number of qx points
# List of qx points
# Number of qy points
# List of qy points
# numqx numqy scale
[docs]class ASCII2DLoader(object):
[docs] def __init__(self, data_path):
"""
:param data_path: The path to the file to load
"""
self.data_path = data_path
[docs] def load(self):
"""
Load the data from the file into a Data2D object
:return: A Data2D instance containing data from the file
:raises ValueError: Raises a ValueError if the file is incorrectly
formatted
"""
with open(self.data_path, 'r') as file_handle:
file_buffer = file_handle.read()
all_lines = file_buffer.splitlines()
# Load num_points line-by-line from lines into a numpy array,
# starting on line number start_line
def _load_points(lines, start_line, num_points):
qs = np.zeros(num_points)
n = start_line
filled = 0
while filled < num_points:
row = np.fromstring(lines[n], dtype=np.float32, sep=' ')
qs[filled:filled+len(row)] = row
filled += len(row)
n += 1
return n, qs
current_line = 4
try:
# Skip n_use_rec lines
n_use_rec = int(all_lines[current_line].strip()[0])
current_line += n_use_rec + 1
# Read qx data
num_qs = int(all_lines[current_line].strip())
current_line += 1
current_line, qx = _load_points(all_lines, current_line, num_qs)
# Read qy data
num_qs = int(all_lines[current_line].strip())
current_line += 1
current_line, qy = _load_points(all_lines, current_line, num_qs)
except ValueError as e:
err_msg = "File incorrectly formatted.\n"
if str(e).find('broadcast') != -1:
err_msg += "Incorrect number of q data points provided. "
err_msg += "Expected {}.".format(num_qs)
elif str(e).find('invalid literal') != -1:
err_msg += ("Expected integer on line {}. "
"Instead got '{}'").format(current_line + 1,
all_lines[current_line])
else:
err_msg += str(e)
raise ValueError(err_msg)
# dimensions: [width, height, scale]
try:
dimensions = np.fromstring(all_lines[current_line],
dtype=np.float32, sep=' ')
if len(dimensions) != 3: raise ValueError()
width = int(dimensions[0])
height = int(dimensions[1])
except ValueError as e:
err_msg = "File incorrectly formatted.\n"
err_msg += ("Expected line {} to be of the form: <num_qx> "
"<num_qy> <scale>.").format(current_line + 1)
err_msg += " Instead got '{}'.".format(all_lines[current_line])
raise ValueError(err_msg)
if width > len(qx) or height > len(qy):
err_msg = "File incorrectly formatted.\n"
err_msg += ("Line {} says to use {}x{} points. "
"Only {}x{} provided.").format(current_line + 1, width,
height, len(qx), len(qy))
raise ValueError(err_msg)
# More qx and/or qy points can be provided than are actually used
qx = qx[:width]
qy = qy[:height]
current_line += 1
# iflag = 1 => Only intensity data (not dealt with here)
# iflag = 2 => q axis and intensity data
# iflag = 3 => q axis, intensity and error data
try:
iflag = int(all_lines[current_line].strip()[0])
if iflag <= 0 or iflag > 3: raise ValueError()
except:
err_msg = "File incorrectly formatted.\n"
iflag = all_lines[current_line].strip()[0]
err_msg += ("Expected iflag on line {} to be 1, 2 or 3. "
"Instead got '{}'.").format(current_line+1, iflag)
raise ValueError(err_msg)
current_line += 1
try:
current_line, I = _load_points(all_lines, current_line,
width * height)
dI = np.zeros(width*height)
# Load error data if it's provided
if iflag == 3:
_, dI = _load_points(all_lines, current_line, width*height)
except Exception as e:
err_msg = "File incorrectly formatted.\n"
if str(e).find("list index") != -1:
err_msg += ("Incorrect number of data points. Expected {}"
" intensity").format(width * height)
if iflag == 3:
err_msg += " and error"
err_msg += " points."
else:
err_msg += str(e)
raise ValueError(err_msg)
# Format data for use with Data2D
qx = list(qx) * height
qy = np.array([[y] * width for y in qy]).flatten()
data = Data2D(qx_data=qx, qy_data=qy, data=I, err_data=dI)
return data