fix for scalar datasets
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4599d1c34e
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@ -73,8 +73,11 @@ for filename in options.filenames:
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array = np.reshape(array,[np.product(results.grid),d])
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array = np.reshape(array,[np.product(results.grid),d])
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data = np.concatenate((data,array),1)
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data = np.concatenate((data,array),1)
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header+= ''.join([' {}_{}'.format(j+1,label) for j in range(d)])
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if d>1:
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header+= ''.join([' {}_{}'.format(j+1,label) for j in range(d)])
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else:
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header+=' '+label
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for label in options.mat:
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for label in options.mat:
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for o in results.m_output_types:
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for o in results.m_output_types:
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results.active['m_output_types'] = [o]
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results.active['m_output_types'] = [o]
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@ -89,7 +92,10 @@ for filename in options.filenames:
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array = np.reshape(array,[np.product(results.grid),d])
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array = np.reshape(array,[np.product(results.grid),d])
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data = np.concatenate((data,array),1)
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data = np.concatenate((data,array),1)
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header+= ''.join([' {}_{}'.format(j+1,label) for j in range(d)])
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if d>1:
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header+= ''.join([' {}_{}'.format(j+1,label) for j in range(d)])
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else:
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header+=' '+label
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dirname = os.path.abspath(os.path.join(os.path.dirname(filename),options.dir))
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dirname = os.path.abspath(os.path.join(os.path.dirname(filename),options.dir))
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try:
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try:
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@ -126,19 +126,26 @@ class DADF5():
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"""
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"""
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with h5py.File(self.filename,'r') as f:
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with h5py.File(self.filename,'r') as f:
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shape = (self.Nmaterialpoints,) + np.shape(f[path[0]])[1:]
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shape = (self.Nmaterialpoints,) + np.shape(f[path[0]])[1:]
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if len(shape) == 1: shape = shape +(1,)
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dataset = np.full(shape,np.nan)
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dataset = np.full(shape,np.nan)
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for pa in path:
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for pa in path:
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label = pa.split('/')[2]
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label = pa.split('/')[2]
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try:
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try:
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p = np.where(f['mapping/cellResults/constituent'][:,c]['Name'] == str.encode(label))[0]
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p = np.where(f['mapping/cellResults/constituent'][:,c]['Name'] == str.encode(label))[0]
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u = (f['mapping/cellResults/constituent'][p,c]['Position'])
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u = (f['mapping/cellResults/constituent'][p,c]['Position'])
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dataset[p,:] = f[pa][u,:] # does not work for scalar datasets
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a = np.array(f[pa])
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if len(a.shape) == 1:
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a=a.reshape([a.shape[0],1])
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dataset
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except:
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except:
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pass
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pass
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try:
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try:
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p = np.where(f['mapping/cellResults/materialpoint']['Name'] == str.encode(label))[0]
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p = np.where(f['mapping/cellResults/materialpoint']['Name'] == str.encode(label))[0]
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u = (f['mapping/cellResults/materialpoint'][p.tolist()]['Position'])
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u = (f['mapping/cellResults/materialpoint'][p.tolist()]['Position'])
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dataset[p,:] = f[pa][u,:] # does not work for scalar datasets
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a = np.array(f[pa])
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if len(a.shape) == 1:
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a=a.reshape([a.shape[0],1])
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dataset[p,:] = a[u,:]
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except:
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except:
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pass
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pass
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