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已同步 2025-08-08 07:24:19 +08:00
Make single output file for main and subgrids.
这个提交包含在：
Craig Warren
@@ -98,90 +98,77 @@ __global__ void store_outputs(int NRX, int iteration, const int* __restrict__ rx
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""")
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def write_hdf5_outputfiles(outputfile, G):
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if G.rxs:
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write_hdf5_main_grid_outputfile(outputfile, G)
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def write_hdf5_outputfile(outputfile, G):
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"""Write an output file in HDF5 format.
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Args:
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outputfile (str): Name of the output file.
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G (FDTDGrid): Parameters describing a grid in a model.
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"""
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# Check for any receivers in subgrids
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sg_rxs = [True for sg in G.subgrids if sg.rxs]
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# Create output file and write top-level meta data
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if G.rxs or sg_rxs:
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f = h5py.File(outputfile, 'w')
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f.attrs['gprMax'] = __version__
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f.attrs['Title'] = G.title
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# Write meta data and data for main grid
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if G.rxs:
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write_grid(f, G)
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# Write meta data and data for any subgrids
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if sg_rxs:
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write_hdf5_sub_grid_outputfile(outputfile, G)
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for sg in G.subgrids:
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grp = f.create_group('/subgrids/' + sg.name)
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write_grid(grp, sg, is_subgrid=True)
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if G.rxs or sg_rxs:
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log.info(f'Written output file: {outputfile.name}')
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def write_hdf5_main_grid_outputfile(outputfile, G):
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"""Write an output file in HDF5 format.
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def write_grid(basegrp, G, is_subgrid=False):
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"""Write grid meta data and data to HDF5 group.
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Args:
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outputfile (str): Name of the output file.
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basegrp (dict): HDF5 group.
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G (FDTDGrid): Parameters describing a grid in a model.
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is_subgrid (bool): Is grid instance the main grid or a subgrid.
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"""
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write_data(outputfile, G)
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log.info(f'Written output file: {outputfile.name}')
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def write_hdf5_sub_grid_outputfile(outputfile, G):
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"""Write an output file in HDF5 format.
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Args:
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outputfile (str): Name of the output file.
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G (FDTDGrid): Parameters describing a grid in a model.
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"""
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stem = outputfile.stem
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suffix = outputfile.suffix
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parent = outputfile.parent
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for sg in G.subgrids:
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# Create an outputfile for each subgrid
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fp = stem + '_' + sg.name + suffix
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fp = parent / Path(fp)
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f = write_data(fp, sg)
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# Write some additional meta data about the subgrid
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f.attrs['is_os_sep'] = sg.is_os_sep
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f.attrs['pml_separation'] = sg.pml_separation
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f.attrs['subgrid_pml_thickness'] = sg.pmlthickness['x0']
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f.attrs['filter'] = sg.filter
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f.attrs['ratio'] = sg.ratio
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f.attrs['interpolation'] = sg.interpolation
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log.info(f'Written output file: {fp.name}')
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def write_data(outputfile, G):
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"""Write an output file in HDF5 format.
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Args:
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outputfile (str): Name of the output file.
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G (FDTDGrid): Parameters describing a grid in a model.
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Returns:
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f (file object): File object.
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"""
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f = h5py.File(outputfile, 'w')
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f.attrs['gprMax'] = __version__
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f.attrs['Title'] = G.title
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f.attrs['Iterations'] = G.iterations
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f.attrs['nx_ny_nz'] = (G.nx, G.ny, G.nz)
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f.attrs['dx_dy_dz'] = (G.dx, G.dy, G.dz)
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f.attrs['dt'] = G.dt
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# Write meta data for grid
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basegrp.attrs['Iterations'] = G.iterations
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basegrp.attrs['nx_ny_nz'] = (G.nx, G.ny, G.nz)
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basegrp.attrs['dx_dy_dz'] = (G.dx, G.dy, G.dz)
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basegrp.attrs['dt'] = G.dt
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nsrc = len(G.voltagesources + G.hertziandipoles + G.magneticdipoles + G.transmissionlines)
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f.attrs['nsrc'] = nsrc
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f.attrs['nrx'] = len(G.rxs)
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f.attrs['srcsteps'] = G.srcsteps
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f.attrs['rxsteps'] = G.rxsteps
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basegrp.attrs['nsrc'] = nsrc
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basegrp.attrs['nrx'] = len(G.rxs)
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basegrp.attrs['srcsteps'] = G.srcsteps
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basegrp.attrs['rxsteps'] = G.rxsteps
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if is_subgrid:
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# Write additional meta data about subgrid
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basegrp.attrs['is_os_sep'] = G.is_os_sep
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basegrp.attrs['pml_separation'] = G.pml_separation
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basegrp.attrs['subgrid_pml_thickness'] = G.pmlthickness['x0']
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basegrp.attrs['filter'] = G.filter
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basegrp.attrs['ratio'] = G.ratio
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basegrp.attrs['interpolation'] = G.interpolation
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# Create group for sources (except transmission lines); add type and positional data attributes
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srclist = G.voltagesources + G.hertziandipoles + G.magneticdipoles
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for srcindex, src in enumerate(srclist):
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grp = f.create_group('/srcs/src' + str(srcindex + 1))
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grp = basegrp.create_group('srcs/src' + str(srcindex + 1))
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grp.attrs['Type'] = type(src).__name__
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grp.attrs['Position'] = (src.xcoord * G.dx, src.ycoord * G.dy, src.zcoord * G.dz)
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# Create group for transmission lines; add positional data, line resistance and
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# line discretisation attributes; write arrays for line voltages and currents
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for tlindex, tl in enumerate(G.transmissionlines):
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grp = f.create_group('/tls/tl' + str(tlindex + 1))
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grp = basegrp.create_group('tls/tl' + str(tlindex + 1))
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grp.attrs['Position'] = (tl.xcoord * G.dx, tl.ycoord * G.dy, tl.zcoord * G.dz)
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grp.attrs['Resistance'] = tl.resistance
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grp.attrs['dl'] = tl.dl
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@@ -189,17 +176,15 @@ def write_data(outputfile, G):
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grp['Vinc'] = tl.Vinc
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grp['Iinc'] = tl.Iinc
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# Save total voltage and current
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f['/tls/tl' + str(tlindex + 1) + '/Vtotal'] = tl.Vtotal
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f['/tls/tl' + str(tlindex + 1) + '/Itotal'] = tl.Itotal
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basegrp['tls/tl' + str(tlindex + 1) + '/Vtotal'] = tl.Vtotal
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basegrp['tls/tl' + str(tlindex + 1) + '/Itotal'] = tl.Itotal
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# Create group, add positional data and write field component arrays for receivers
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for rxindex, rx in enumerate(G.rxs):
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grp = f.create_group('/rxs/rx' + str(rxindex + 1))
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grp = basegrp.create_group('rxs/rx' + str(rxindex + 1))
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if rx.ID:
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grp.attrs['Name'] = rx.ID
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grp.attrs['Position'] = (rx.xcoord * G.dx, rx.ycoord * G.dy, rx.zcoord * G.dz)
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for output in rx.outputs:
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f['/rxs/rx' + str(rxindex + 1) + '/' + output] = rx.outputs[output]
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return f
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basegrp['rxs/rx' + str(rxindex + 1) + '/' + output] = rx.outputs[output]
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@@ -35,7 +35,7 @@ import gprMax.config as config
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from .cython.yee_cell_build import build_electric_components
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from .cython.yee_cell_build import build_magnetic_components
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from .exceptions import GeneralError
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from .fields_outputs import write_hdf5_outputfiles
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from .fields_outputs import write_hdf5_outputfile
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from .grid import dispersion_analysis
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from .hash_cmds_file import parse_hash_commands
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from .materials import Material
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@@ -213,8 +213,8 @@ class ModelBuildRun:
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to file(s).
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"""
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# Write an output file(s) in HDF5 format
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write_hdf5_outputfiles(config.get_model_config().output_file_path_ext, self.G)
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# Write an output file in HDF5 format
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write_hdf5_outputfile(config.get_model_config().output_file_path_ext, self.G)
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# Write any snapshots to file
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if self.G.snapshots:
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@@ -45,195 +45,215 @@ def mpl_plot(filename, outputs=Rx.defaultoutputs, fft=False):
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file = Path(filename)
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# Open output file and read some attributes
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# Open output file and read iterations
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f = h5py.File(file, 'r')
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nrx = f.attrs['nrx']
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dt = f.attrs['dt']
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iterations = f.attrs['Iterations']
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time = np.linspace(0, (iterations - 1) * dt, num=iterations)
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# Paths to grid(s) to traverse for outputs
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paths = ['/']
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# Check if any subgrids and add path(s)
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is_subgrids = "/subgrids" in f
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if is_subgrids:
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paths = paths + ['/subgrids/' + path + '/' for path in f['/subgrids'].keys()]
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# Get number of receivers in grid(s)
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nrxs = []
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for path in paths:
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if f[path].attrs['nrx'] > 0:
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nrxs.append(f[path].attrs['nrx'])
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else:
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paths.remove(path)
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# Check there are any receivers
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if nrx == 0:
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if not paths:
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raise CmdInputError(f'No receivers found in {file}')
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# Check for single output component when doing a FFT
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if fft:
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if not len(outputs) == 1:
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raise CmdInputError('A single output must be specified when using the -fft option')
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# Loop through all grids
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for path in paths:
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iterations = f[path].attrs['Iterations']
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nrx = f[path].attrs['nrx']
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dt = f[path].attrs['dt']
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time = np.linspace(0, (iterations - 1) * dt, num=iterations)
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# New plot for each receiver
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for rx in range(1, nrx + 1):
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path = '/rxs/rx' + str(rx) + '/'
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availableoutputs = list(f[path].keys())
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# Check for single output component when doing a FFT
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if fft:
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if not len(outputs) == 1:
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raise CmdInputError('A single output must be specified when using the -fft option')
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# If only a single output is required, create one subplot
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if len(outputs) == 1:
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# New plot for each receiver
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for rx in range(1, nrx + 1):
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rxpath = path + 'rxs/rx' + str(rx) + '/'
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availableoutputs = list(f[rxpath].keys())
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# Check for polarity of output and if requested output is in file
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if outputs[0][-1] == '-':
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polarity = -1
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outputtext = '-' + outputs[0][0:-1]
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output = outputs[0][0:-1]
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else:
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polarity = 1
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outputtext = outputs[0]
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output = outputs[0]
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# If only a single output is required, create one subplot
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if len(outputs) == 1:
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if output not in availableoutputs:
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raise CmdInputError(f"{output} output requested to plot, but the available output for receiver 1 is {', '.join(availableoutputs)}")
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outputdata = f[path + output][:] * polarity
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# Plotting if FFT required
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if fft:
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# FFT
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freqs, power = fft_power(outputdata, dt)
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freqmaxpower = np.where(np.isclose(power, 0))[0][0]
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# Set plotting range to -60dB from maximum power or 4 times
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# frequency at maximum power
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try:
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pltrange = np.where(power[freqmaxpower:] < -60)[0][0] + freqmaxpower + 1
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except:
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pltrange = freqmaxpower * 4
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pltrange = np.s_[0:pltrange]
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# Plot time history of output component
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fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, num='rx' + str(rx),
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figsize=(20, 10), facecolor='w',
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edgecolor='w')
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line1 = ax1.plot(time, outputdata, 'r', lw=2, label=outputtext)
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ax1.set_xlabel('Time [s]')
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ax1.set_ylabel(outputtext + ' field strength [V/m]')
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ax1.set_xlim([0, np.amax(time)])
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ax1.grid(which='both', axis='both', linestyle='-.')
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# Plot frequency spectra
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markerline, stemlines, baseline = ax2.stem(freqs[pltrange],
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power[pltrange], '-.',
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use_line_collection=True)
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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line2 = ax2.plot(freqs[pltrange], power[pltrange], 'r', lw=2)
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ax2.set_xlabel('Frequency [Hz]')
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ax2.set_ylabel('Power [dB]')
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ax2.grid(which='both', axis='both', linestyle='-.')
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# Change colours and labels for magnetic field components or currents
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if 'H' in outputs[0]:
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plt.setp(line1, color='g')
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plt.setp(line2, color='g')
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plt.setp(ax1, ylabel=outputtext + ' field strength [A/m]')
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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elif 'I' in outputs[0]:
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plt.setp(line1, color='b')
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plt.setp(line2, color='b')
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plt.setp(ax1, ylabel=outputtext + ' current [A]')
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plt.setp(stemlines, 'color', 'b')
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plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
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plt.show()
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# Plotting if no FFT required
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else:
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]',
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ylabel=outputtext + ' field strength [V/m]'),
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num='rx' + str(rx), figsize=(20, 10),
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facecolor='w', edgecolor='w')
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line = ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
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ax.set_xlim([0, np.amax(time)])
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# ax.set_ylim([-15, 20])
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ax.grid(which='both', axis='both', linestyle='-.')
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if 'H' in output:
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plt.setp(line, color='g')
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plt.setp(ax, ylabel=outputtext + ', field strength [A/m]')
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elif 'I' in output:
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plt.setp(line, color='b')
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plt.setp(ax, ylabel=outputtext + ', current [A]')
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# If multiple outputs required, create all nine subplots and populate only the specified ones
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else:
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]'),
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num='rx' + str(rx), figsize=(20, 10),
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facecolor='w', edgecolor='w')
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if len(outputs) == 9:
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gs = gridspec.GridSpec(3, 3, hspace=0.3, wspace=0.3)
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else:
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gs = gridspec.GridSpec(3, 2, hspace=0.3, wspace=0.3)
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for output in outputs:
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# Check for polarity of output and if requested output is in file
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if output[-1] == 'm':
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if outputs[0][-1] == '-':
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polarity = -1
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outputtext = '-' + output[0:-1]
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output = output[0:-1]
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outputtext = '-' + outputs[0][0:-1]
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output = outputs[0][0:-1]
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else:
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polarity = 1
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outputtext = output
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outputtext = outputs[0]
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output = outputs[0]
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# Check if requested output is in file
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if output not in availableoutputs:
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raise CmdInputError(f"Output(s) requested to plot: {', '.join(outputs)}, but available output(s) for receiver {rx} in the file: {', '.join(availableoutputs)}")
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raise CmdInputError(f"{output} output requested to plot, but the available output for receiver 1 is {', '.join(availableoutputs)}")
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outputdata = f[path + output][:] * polarity
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outputdata = f[rxpath + output][:] * polarity
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if output == 'Ex':
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ax = plt.subplot(gs[0, 0])
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ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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# ax.set_ylim([-15, 20])
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elif output == 'Ey':
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ax = plt.subplot(gs[1, 0])
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ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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# ax.set_ylim([-15, 20])
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elif output == 'Ez':
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ax = plt.subplot(gs[2, 0])
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ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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# ax.set_ylim([-15, 20])
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elif output == 'Hx':
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ax = plt.subplot(gs[0, 1])
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ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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# ax.set_ylim([-0.03, 0.03])
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elif output == 'Hy':
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ax = plt.subplot(gs[1, 1])
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ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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# ax.set_ylim([-0.03, 0.03])
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elif output == 'Hz':
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ax = plt.subplot(gs[2, 1])
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ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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# ax.set_ylim([-0.03, 0.03])
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elif output == 'Ix':
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ax = plt.subplot(gs[0, 2])
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ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', current [A]')
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elif output == 'Iy':
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ax = plt.subplot(gs[1, 2])
|
||||
ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', current [A]')
|
||||
elif output == 'Iz':
|
||||
ax = plt.subplot(gs[2, 2])
|
||||
ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', current [A]')
|
||||
for ax in fig.axes:
|
||||
ax.set_xlim([0, np.amax(time)])
|
||||
ax.grid(which='both', axis='both', linestyle='-.')
|
||||
# Plotting if FFT required
|
||||
if fft:
|
||||
# FFT
|
||||
freqs, power = fft_power(outputdata, dt)
|
||||
freqmaxpower = np.where(np.isclose(power, 0))[0][0]
|
||||
|
||||
# Save a PDF/PNG of the figure
|
||||
savename = file.stem + '_rx' + str(rx)
|
||||
savename = file.parent / savename
|
||||
# fig.savefig(savename.with_suffix('.pdf'), dpi=None, format='pdf',
|
||||
# bbox_inches='tight', pad_inches=0.1)
|
||||
# fig.savefig(savename.with_suffix('.png'), dpi=150, format='png',
|
||||
# bbox_inches='tight', pad_inches=0.1)
|
||||
# Set plotting range to -60dB from maximum power or 4 times
|
||||
# frequency at maximum power
|
||||
try:
|
||||
pltrange = np.where(power[freqmaxpower:] < -60)[0][0] + freqmaxpower + 1
|
||||
except:
|
||||
pltrange = freqmaxpower * 4
|
||||
|
||||
pltrange = np.s_[0:pltrange]
|
||||
|
||||
# Plot time history of output component
|
||||
fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2,
|
||||
num=rxpath + ' - ' + f[rxpath].attrs['Name'],
|
||||
figsize=(20, 10), facecolor='w',
|
||||
edgecolor='w')
|
||||
line1 = ax1.plot(time, outputdata, 'r', lw=2, label=outputtext)
|
||||
ax1.set_xlabel('Time [s]')
|
||||
ax1.set_ylabel(outputtext + ' field strength [V/m]')
|
||||
ax1.set_xlim([0, np.amax(time)])
|
||||
ax1.grid(which='both', axis='both', linestyle='-.')
|
||||
|
||||
# Plot frequency spectra
|
||||
markerline, stemlines, baseline = ax2.stem(freqs[pltrange],
|
||||
power[pltrange], '-.',
|
||||
use_line_collection=True)
|
||||
plt.setp(baseline, 'linewidth', 0)
|
||||
plt.setp(stemlines, 'color', 'r')
|
||||
plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
|
||||
line2 = ax2.plot(freqs[pltrange], power[pltrange], 'r', lw=2)
|
||||
ax2.set_xlabel('Frequency [Hz]')
|
||||
ax2.set_ylabel('Power [dB]')
|
||||
ax2.grid(which='both', axis='both', linestyle='-.')
|
||||
|
||||
# Change colours and labels for magnetic field components or currents
|
||||
if 'H' in outputs[0]:
|
||||
plt.setp(line1, color='g')
|
||||
plt.setp(line2, color='g')
|
||||
plt.setp(ax1, ylabel=outputtext + ' field strength [A/m]')
|
||||
plt.setp(stemlines, 'color', 'g')
|
||||
plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
|
||||
elif 'I' in outputs[0]:
|
||||
plt.setp(line1, color='b')
|
||||
plt.setp(line2, color='b')
|
||||
plt.setp(ax1, ylabel=outputtext + ' current [A]')
|
||||
plt.setp(stemlines, 'color', 'b')
|
||||
plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
|
||||
|
||||
plt.show()
|
||||
|
||||
# Plotting if no FFT required
|
||||
else:
|
||||
fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]',
|
||||
ylabel=outputtext + ' field strength [V/m]'),
|
||||
num=rxpath + ' - ' + f[rxpath].attrs['Name'],
|
||||
figsize=(20, 10), facecolor='w', edgecolor='w')
|
||||
line = ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
|
||||
ax.set_xlim([0, np.amax(time)])
|
||||
# ax.set_ylim([-15, 20])
|
||||
ax.grid(which='both', axis='both', linestyle='-.')
|
||||
|
||||
if 'H' in output:
|
||||
plt.setp(line, color='g')
|
||||
plt.setp(ax, ylabel=outputtext + ', field strength [A/m]')
|
||||
elif 'I' in output:
|
||||
plt.setp(line, color='b')
|
||||
plt.setp(ax, ylabel=outputtext + ', current [A]')
|
||||
|
||||
# If multiple outputs required, create all nine subplots and populate only the specified ones
|
||||
else:
|
||||
fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]'),
|
||||
num=rxpath + ' - ' + f[rxpath].attrs['Name'],
|
||||
figsize=(20, 10), facecolor='w', edgecolor='w')
|
||||
if len(outputs) == 9:
|
||||
gs = gridspec.GridSpec(3, 3, hspace=0.3, wspace=0.3)
|
||||
else:
|
||||
gs = gridspec.GridSpec(3, 2, hspace=0.3, wspace=0.3)
|
||||
|
||||
for output in outputs:
|
||||
# Check for polarity of output and if requested output is in file
|
||||
if output[-1] == 'm':
|
||||
polarity = -1
|
||||
outputtext = '-' + output[0:-1]
|
||||
output = output[0:-1]
|
||||
else:
|
||||
polarity = 1
|
||||
outputtext = output
|
||||
|
||||
# Check if requested output is in file
|
||||
if output not in availableoutputs:
|
||||
raise CmdInputError(f"Output(s) requested to plot: {', '.join(outputs)}, but available output(s) for receiver {rx} in the file: {', '.join(availableoutputs)}")
|
||||
|
||||
outputdata = f[rxpath + output][:] * polarity
|
||||
|
||||
if output == 'Ex':
|
||||
ax = plt.subplot(gs[0, 0])
|
||||
ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [V/m]')
|
||||
# ax.set_ylim([-15, 20])
|
||||
elif output == 'Ey':
|
||||
ax = plt.subplot(gs[1, 0])
|
||||
ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [V/m]')
|
||||
# ax.set_ylim([-15, 20])
|
||||
elif output == 'Ez':
|
||||
ax = plt.subplot(gs[2, 0])
|
||||
ax.plot(time, outputdata, 'r', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [V/m]')
|
||||
# ax.set_ylim([-15, 20])
|
||||
elif output == 'Hx':
|
||||
ax = plt.subplot(gs[0, 1])
|
||||
ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [A/m]')
|
||||
# ax.set_ylim([-0.03, 0.03])
|
||||
elif output == 'Hy':
|
||||
ax = plt.subplot(gs[1, 1])
|
||||
ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [A/m]')
|
||||
# ax.set_ylim([-0.03, 0.03])
|
||||
elif output == 'Hz':
|
||||
ax = plt.subplot(gs[2, 1])
|
||||
ax.plot(time, outputdata, 'g', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', field strength [A/m]')
|
||||
# ax.set_ylim([-0.03, 0.03])
|
||||
elif output == 'Ix':
|
||||
ax = plt.subplot(gs[0, 2])
|
||||
ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', current [A]')
|
||||
elif output == 'Iy':
|
||||
ax = plt.subplot(gs[1, 2])
|
||||
ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', current [A]')
|
||||
elif output == 'Iz':
|
||||
ax = plt.subplot(gs[2, 2])
|
||||
ax.plot(time, outputdata, 'b', lw=2, label=outputtext)
|
||||
ax.set_ylabel(outputtext + ', current [A]')
|
||||
for ax in fig.axes:
|
||||
ax.set_xlim([0, np.amax(time)])
|
||||
ax.grid(which='both', axis='both', linestyle='-.')
|
||||
|
||||
# Save a PDF/PNG of the figure
|
||||
savename = file.stem + '_rx' + str(rx)
|
||||
savename = file.parent / savename
|
||||
# fig.savefig(savename.with_suffix('.pdf'), dpi=None, format='pdf',
|
||||
# bbox_inches='tight', pad_inches=0.1)
|
||||
# fig.savefig(savename.with_suffix('.png'), dpi=150, format='png',
|
||||
# bbox_inches='tight', pad_inches=0.1)
|
||||
|
||||
f.close()
|
||||
|
||||
|
||||
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