polishing
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@ -1988,11 +1988,12 @@ class Result:
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N_digits = int(np.floor(np.log10(max(1,self.incs[-1]))))+1
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Crystal_structure_types = {'Hexagonal': 0, 'Cubic': 1, 'Triclinic': 4, 'Monoclinic': 5, 'Orthorhombic': 6, 'Tetrogonal': 8}
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# crystal structure map according to Dream3D
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Phase_types = {'Primary': 0}
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lattice_dict = {}
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#further additions to these can be done by looking at 'Create Ensemble Info' filter
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# other options could be 'Precipitate' and so on.
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# also crystal structures be added in a similar way
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dx = self.size/self.cells
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@ -2078,9 +2079,11 @@ class Result:
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crystal_structure = 'tetragonal'
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crystal_structure_list.append(Crystal_structure_types[crystal_structure])
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o[ensemble_label + '/CrystalStructures'] = np.uint32(crystal_structure_list)
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# but need to look into dream3d which crystal structure corresponds to which number
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o[ensemble_label + '/PhaseTypes'] = np.uint32(np.array([999] + [Phase_types['Primary']]*len(self.phases)))\
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.reshape((len(self.phases)+1,1))
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phase_name_list = ['Unknown Phase Type']
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phase_name_list.extend(i for i in self.visible['phases'])
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o[ensemble_label + '/PhaseName'] = np.array(phase_name_list,dtype=str)
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# also assuming Primary phases
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# there can be precipitates etc as well
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# Attributes Ensemble Matrix
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@ -2095,6 +2098,12 @@ class Result:
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o[ensemble_label+'/'+group].attrs['ObjectType'] = 'DataArray<uint32_t>'
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o[ensemble_label+'/'+group].attrs['TupleDimensions'] = np.array([len(self.phases) + 1],np.uint64)
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o[ensemble_label+'/PhaseName'].attrs['ComponentDimensions'] = np.array([1],np.uint64)
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o[ensemble_label+'/PhaseName'].attrs['Tuple Axis Dimensions'] = f'x={len(self.phases)+1}'
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o[ensemble_label+'/PhaseName'].attrs['DataArrayVersion'] = np.array([2],np.int32)
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o[ensemble_label+'/PhaseName'].attrs['ObjectType'] = 'StringDataArray'
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o[ensemble_label+'/PhaseName'].attrs['TupleDimensions'] = np.array([len(self.phases) + 1],np.uint64)
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# Create geometry info
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geom_label = data_container_label + '/_SIMPL_GEOMETRY'
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