pyLOM.io#

Module contents#

pyLOM.io.h5_append_dset(fname, xyz, varDict, fieldDict, ordering, point, ptable, mode='a', mpio=True, nopartition=False)#: Save a Dataset in HDF5

pyLOM.io.h5_load_DMD(fname, vars, nmod, ptable=None)#: Load DMD variables from an HDF5 file.

pyLOM.io.h5_load_POD(fname, vars, nmod, ptable=None)#: Load POD variables from an HDF5 file.

pyLOM.io.h5_load_QR(fname, vars, ptable=None)#

Load QR variables from an HDF5 file.

Parameters:

fname (string) – file name
vars (list) – variables to load, it must be any of Q, B, Y.
ptable (PartitionTable, optional) – partition table used to load the data (default, None)

Returns:

list of the np.ndarray requested to load.

Return type:

list

pyLOM.io.h5_load_SPOD(fname, vars, nmod, ptable=None)#: Load SPOD variables from an HDF5 file.

pyLOM.io.h5_load_dset(fname, ptable=None, mpio=True)#: Load a dataset in HDF5

pyLOM.io.h5_save_DMD(fname, muReal, muImag, Phi, bJov, ptable, nvars=1, pointData=True, mode='w')#: Store DMD variables into an HDF5 file. Can be appended to another HDF by setting the mode to ‘a’. Then no partition table will be saved.

pyLOM.io.h5_save_POD(fname, U, S, V, ptable, nvars=1, pointData=True, mode='w')#: Store POD variables into an HDF5 file. Can be appended to another HDF by setting the mode to ‘a’. Then no partition table will be saved.

pyLOM.io.h5_save_QR(fname, Q, Y, B, ptable, nvars=1, pointData=True, mode='w')#

Store QR variables into an HDF5 file. Can be appended to another HDF by setting the mode to ‘a’. Then no partition table will be saved.

Parameters:

fname (string) – file name
Q (np.ndarray) – Q matrix
Y (np.ndarray) – Randomized matrix before QR
B (np.ndarray) – R upper triangular matrix or B in case of doing randomized QR
ptable (PartitionTable) – partition table
nvars (int, optional) – number of variables analyzed jointly (default=1)
pointData (bool, optional) – whether is point data or cell data (default=True)
mode (Writing) – the h5 will be written again or appended.

pyLOM.io.h5_save_SPOD(fname, L, P, f, ptable, nvars=1, pointData=True, mode='w')#: Store SPOD variables into an HDF5 file. Can be appended to another HDF by setting the mode to ‘a’. Then no partition table will be saved.

pyLOM.io.h5_save_VAE(fname, kld, mse, val_loss, train_loss_avg, corrcoef, mode='w')#: Store VAE results.

pyLOM.io.h5_save_dset(fname, xyz, varDict, fieldDict, ordering, point, ptable, mode='w', mpio=True, nopartition=False)#: Save a Dataset in HDF5

pyLOM.io.h5_save_mesh(fname, mtype, xyz, conec, eltype, cellO, pointO, ptable, mode='w', mpio=True, nopartition=False)#: Save a Mesh in HDF5

pyLOM.io.pv_writer(Mesh, Dataset, casestr, basedir='./', idim=0, instants=[0], times=[0.], vars=[], fmt='vtkh5', mode='w')#

Store the data using various formats for ParaView.

This method differs from save in the fact that save is used to recover the field, write only outputs the data.

pyLOM.io.vtkh5_link_mesh(fname, lname, mpio=True, mode='w')#: Link the mesh component into a VTKH5 file

pyLOM.io.vtkh5_save_field(fname, instant, time, point, varDict, ptable, mpio=True, mode='a')#: Save the mesh component into a VTKH5 file

pyLOM.io.vtkh5_save_mesh(fname, mesh, ptable, mpio=True, mode='w')#: Save the mesh component into a VTKH5 file