Source code for sas.dataloader.readers.nexus_reader

#####################################################################
#This software was developed by the University of Tennessee as part of the
#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
#project funded by the US National Science Foundation.
#See the license text in license.txt
#copyright 2012, University of Tennessee
######################################################################
"""
    Nexus reader for 2D data reduced by Mantid
"""
import os
from sas.dataloader.data_info import Data2D


[docs]class Reader: """ Nexus reader for 2D data reduced by Mantid """ ## File type type_name = "NXS" ## Wildcards type = ["Nexus files (*.nxs)|*.nxs"] ## Extension ext = ['.nxs']
[docs] def read(self, filename=None): """ Open and read the data in a file :param filename: path of the file """ try: import nxs except: msg = "Error reading Nexus file: Nexus package is missing.\n" msg += " Get it from http://http://www.nexusformat.org/" raise RuntimeError, msg # Instantiate data object output = Data2D() output.filename = os.path.basename(filename) fd = nxs.open(filename, 'rw') # Read in the 2D data fd.opengroup('mantid_workspace_1') fd.opengroup('workspace') fd.opendata('values') output.data = fd.getdata().copy() fd.closedata() # Read in the errors fd.opendata('errors') output.err_data = fd.getdata().copy() fd.closedata() # Read in the values on each axis fd.opendata('axis1') output.x_bins = fd.getdata().copy() fd.closedata() fd.opendata('axis2') output.y_bins = fd.getdata().copy() fd.closedata() fd.closegroup() output.xmin = min(output.x_bins) output.xmax = max(output.x_bins) output.ymin = min(output.y_bins) output.ymax = max(output.y_bins) output.xaxis("\\rm{Q_{x}}", 'A^{-1}') output.yaxis("\\rm{Q_{y}}", 'A^{-1}') output.zaxis("\\rm{Intensity}", "cm^{-1}") # Meta data fd.opendata('title') output.title = fd.getdata() fd.closedata() fd.opengroup('instrument') fd.opendata('name') output.instrument = fd.getdata() fd.closedata() fd.closegroup() fd.opengroup('logs') fd.opengroup('run_number') fd.opendata('value') output.run = fd.getdata() fd.close() # Store loading process information output.meta_data['loader'] = self.type_name return output