def addFoamScalarField(self, fieldpath, name, time, projectedField=False): """ """ tSurf = TriSurfaceScalar.readFromFoamFile( fieldpath, self.triSurfaceMesh, time=time, projectedField=projectedField ) self.fields[name] = tSurf
def addFoamScalarField(self, fieldpath, name, time, projectedField=False): ''' ''' tSurf = TriSurfaceScalar.readFromFoamFile( fieldpath, self.triSurfaceMesh, time=time, projectedField=projectedField) self.fields[name] = tSurf
def readScalarFromFoamFile(self, varsFile, pointsFile, facesFile, viewAnchor=(0,0,0), xViewBasis=(1,0,0), yViewBasis=(0,1,0), dx=None, dy=None, interpolationMethod='cubic', kind='min_E'): ''' ''' varName=os.path.basename(varsFile) tsm = TriSurfaceMesh.readFromFoamFile(pointsFile=pointsFile, facesFile=facesFile, viewAnchor=viewAnchor, xViewBasis=xViewBasis, yViewBasis=yViewBasis) tss = TriSurfaceScalar.readFromFoamFile(varsFile=varsFile, triSurfaceMesh=tsm, time=0, projectedField=False) points = np.vstack((tss.x,tss.y)).T #if not hasattr(self,'data'): #print 'dict does not exists' if not self.data.has_key('dx') or self.data.has_key('dy'): print 'keys dx and dy does not exist' if dx==None: dxlist=[a for a in np.abs(np.diff(points[:,0])) if a>0] dx=np.min(dxlist) if dy==None: dylist=[a for a in np.abs(np.diff(points[:,1])) if a>0] dy=np.min(dylist) MaxX=np.max(points[:,0]) MinX=np.min(points[:,0]) MaxY=np.max(points[:,1]) MinY=np.min(points[:,1]) extent=[MinX,MaxX,MinY,MaxY] #print MinX,MaxX,MinY,MaxY cellsX=int((MaxX-MinX)/dx) cellsY=int((MaxY-MinY)/dy) #print cellsX,cellsY grid_y, grid_x = np.mgrid[MinY:MaxY:np.complex(0,cellsY),MinX:MaxX:np.complex(0,cellsX)] triang = tss.triangulation # scalar_i=doInterp(triang,tss.s,grid_x, grid_y) scalar_i=self.interpolateField(tss.s,grid_x, grid_y, triang, method=interpolationMethod, kind=kind) vx_i=np.empty(scalar_i.shape) vy_i=np.empty(scalar_i.shape) vz_i=np.empty(scalar_i.shape) vx_i[:]=np.NAN vy_i[:]=np.NAN vz_i[:]=np.NAN self.vx=np.flipud(vx_i) self.vy=np.flipud(vy_i) self.vz=np.flipud(vz_i) self.extent=extent self.minX=MinX self.maxX=MaxX self.minY=MinY self.maxY=MaxY self.dx=dx self.dy=dy self.createDataDict() self.data[varName]=np.flipud(scalar_i) else: print 'dict exists' MaxX=self.extent[1] MinX=self.extent[0] MaxY=self.extent[3] MinY=self.extent[2] cellsX=int((MaxX-MinX)/self.dx) cellsY=int((MaxY-MinY)/self.dy) #print cellsX,cellsY grid_y, grid_x = np.mgrid[MinY:MaxY:np.complex(0,cellsY),MinX:MaxX:np.complex(0,cellsX)] triang = tss.triangulation scalar_i=self.interpolateField(tss.s,grid_x, grid_y, triang, method=interpolationMethod, kind=kind) print 'adding scalar',varName self.data[varName]=np.flipud(scalar_i)
def addFieldFromHdf5(self, hdf5Parser, key, names=[], projectedField=False): ''' Add a list field stored in a hdf5 to the TriSurfaceContainer. Arguments: *hdf5Parser*: h5py parser object. Parser object of the source hdf5 file. *key*: python string. The time (as a key) to extract from the HDF5. If it does not exist, IOError is returned. *names*: python list of string. Name of the fields to extract from the HDF5. It can be a single field (names=['oneField']) or multiple. if names=[], all the fields are loaded. Default: names=[]. *projectedField*: python bool Project the fields in the surface coordinate system. Default: projectedField=False. Usages: >>> import h5py >>> parser = h5py.File('myfile.h5','r') >>> tsc = TriSurfaceContainer.createFromHdf5(parser,xViewBasis=[1,0,0]) >>> tsc.addFieldFromHdf5(parser,time=1.5,names=['U','S']) ''' gTime = key time = float(key) if len(names) == 0: names = hdf5Parser[gTime].keys() names.pop(names.index('time')) for name in names: try: dataShape = hdf5Parser[gTime][name].value.shape if len(dataShape) == 1: #data is a scalar tss = TriSurfaceScalar.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField) self.fields[name] = tss elif len(dataShape ) == 2 and dataShape[1] == 3: #data is a vector tsv = TriSurfaceVector.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField) self.fields[name] = tsv elif len(dataShape ) == 2 and dataShape[1] == 6: #data is a symmtensor tsst = TriSurfaceSymmTensor.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField) self.fields[name] = tsst else: raise IOError('variable of name "' + name + '" is not a' 'scalar, not a vector, not a symmTensor.') except KeyError as e: 'time "' + gTime + '" and/or name "' + name + '" does not exist as key in the HDF5 parser. Not read, but continuing' print e except KeyboardInterrupt as e: print e return False except MemoryError as e: print e return False except: print "Unexpected error:", sys.exc_info()[0] #raise IOError('time "'+gTime+'" and/or name "'+name+'" does not ' #'exist as key in the HDF5 parser.') return False return True
def addFieldFromHdf5(self, hdf5Parser, key, names=[], projectedField=False): """ Add a list field stored in a hdf5 to the TriSurfaceContainer. Arguments: *hdf5Parser*: h5py parser object. Parser object of the source hdf5 file. *key*: python string. The time (as a key) to extract from the HDF5. If it does not exist, IOError is returned. *names*: python list of string. Name of the fields to extract from the HDF5. It can be a single field (names=['oneField']) or multiple. if names=[], all the fields are loaded. Default: names=[]. *projectedField*: python bool Project the fields in the surface coordinate system. Default: projectedField=False. Usages: >>> import h5py >>> parser = h5py.File('myfile.h5','r') >>> tsc = TriSurfaceContainer.createFromHdf5(parser,xViewBasis=[1,0,0]) >>> tsc.addFieldFromHdf5(parser,time=1.5,names=['U','S']) """ gTime = key time = float(key) if len(names) == 0: names = hdf5Parser[gTime].keys() names.pop(names.index("time")) for name in names: try: dataShape = hdf5Parser[gTime][name].value.shape if len(dataShape) == 1: # data is a scalar tss = TriSurfaceScalar.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField, ) self.fields[name] = tss elif len(dataShape) == 2 and dataShape[1] == 3: # data is a vector tsv = TriSurfaceVector.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField, ) self.fields[name] = tsv elif len(dataShape) == 2 and dataShape[1] == 6: # data is a symmtensor tsst = TriSurfaceSymmTensor.readFromHdf5( hdf5Parser=hdf5Parser, varName=name, triSurfaceMesh=self.triSurfaceMesh, key=key, projectedField=projectedField, ) self.fields[name] = tsst else: raise IOError('variable of name "' + name + '" is not a' "scalar, not a vector, not a symmTensor.") except KeyError as e: 'time "' + gTime + '" and/or name "' + name + '" does not exist as key in the HDF5 parser. Not read, but continuing' print e except KeyboardInterrupt as e: print e return False except MemoryError as e: print e return False except: print "Unexpected error:", sys.exc_info()[0] # raise IOError('time "'+gTime+'" and/or name "'+name+'" does not ' #'exist as key in the HDF5 parser.') return False return True