import processing.readwritedatafiles as readwritedatafiles
# Read data file
fname = "Data_final.pkl"
solver = readwritedatafiles.read_data_file(fname)
# Unpack
mesh = solver.mesh
physics = solver.physics
# Compute L2 error
solver.time = 0. # reset time due to periodicity
post.get_error(mesh, physics, solver, "Scalar")
''' Plot '''
# Scalar contour
plot.prepare_plot(linewidth=0.5)
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_numerical=True,
create_new_figure=True,
include_mesh=True,
regular_2D=True,
equal_AR=False,
show_elem_IDs=True)
# Save figure
plot.save_figure(file_name='gaussian', file_type='pdf', crop_level=2)
plot.show_plot()
"Scalar",
plot_numerical=True,
plot_exact=False,
plot_IC=False,
create_new_figure=True,
fmt='bo',
legend_label="DG",
equidistant_pts=True)
# Exact solution
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_exact=True,
plot_numerical=False,
create_new_figure=False,
fmt='k-')
# Initial condition
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_IC=True,
plot_numerical=False,
create_new_figure=False,
fmt='k--')
# Save figure
plot.save_figure(file_name='dampingsinewave', file_type='pdf', crop_level=2)
plot.show_plot()
solver,
"Scalar",
plot_numerical=True,
plot_exact=False,
plot_IC=False,
create_new_figure=True,
fmt='bo',
legend_label="DG")
# Exact solution
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_exact=True,
plot_numerical=False,
create_new_figure=False,
fmt='k-')
# Initial condition
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_IC=True,
plot_numerical=False,
create_new_figure=False,
fmt='k--')
# Save figure
plot.save_figure(file_name='scalar', file_type='pdf', crop_level=2)
plot.show_plot()
plot.plot_solution(mesh,
physics,
solver,
"Density",
plot_numerical=True,
plot_exact=False,
plot_IC=False,
create_new_figure=True,
fmt='bo',
legend_label="DG",
include_mesh=False,
regular_2D=True,
show_elem_IDs=False,
levels=levels)
plot.save_figure(file_name='contour', file_type='pdf')
### Line probe (y = 1.7875) ###
plot.prepare_plot(close_all=False, linewidth=1.5)
# Parameters
xy1 = [0., 1.7875]
xy2 = [2., 1.7875]
# DG solution
plot.plot_line_probe(mesh,
physics,
solver,
"Density",
xy1=xy1,
xy2=xy2,
plot_numerical=True,
solver,
"Scalar",
plot_numerical=True,
plot_exact=False,
plot_IC=False,
create_new_figure=True,
fmt='bo',
legend_label="DG")
# Exact solution
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_exact=True,
plot_numerical=False,
create_new_figure=False,
fmt='k-')
# Initial condition
plot.plot_solution(mesh,
physics,
solver,
"Scalar",
plot_IC=True,
plot_numerical=False,
create_new_figure=False,
fmt='k--')
# Save figure
plot.save_figure(file_name='constant_advection', file_type='pdf', crop_level=2)
plot.show_plot()
import numpy as np import processing.post as post import processing.plot as plot import processing.readwritedatafiles as readwritedatafiles # Read data file fname = "Data_final.pkl" solver = readwritedatafiles.read_data_file(fname) # Unpack mesh = solver.mesh physics = solver.physics # Compute L2 error post.get_error(mesh, physics, solver, "Pressure", normalize_by_volume=False) ''' Plot ''' # Pressure contour plot.prepare_plot(linewidth=0.5) plot.plot_solution(mesh, physics, solver, "Pressure", plot_numerical=True, plot_exact=False, plot_IC=False, create_new_figure=True, fmt='bo', legend_label="DG", include_mesh=False, regular_2D=True, equal_AR=False) # Save figure plot.save_figure(file_name='Pressure', file_type='pdf', crop_level=2) plot.show_plot()
# Unpack mesh = solver.mesh physics = solver.physics # Compute L2 error post.get_error(mesh, physics, solver, "Density", normalize_by_volume=False) ''' Plot ''' # Density contour plot.prepare_plot(linewidth=0.5) plot.plot_solution(mesh, physics, solver, "Density", plot_numerical=True, plot_exact=False, plot_IC=False, create_new_figure=True, fmt='bo', legend_label="DG", include_mesh=False, regular_2D=True, equal_AR=False, level=None) # Save figure plot.save_figure(file_name='Density', file_type='pdf', crop_level=2) # Pressure contour plot.prepare_plot(close_all=False, linewidth=0.5) plot.plot_solution(mesh, physics, solver, "Pressure", plot_numerical=True, plot_exact=False, plot_IC=False, create_new_figure=True, fmt='bo', legend_label="DG", include_mesh=False, regular_2D=True, equal_AR=False, level=None) # Save figure plot.save_figure(file_name='Pressure', file_type='pdf', crop_level=2) # x-velocity contour plot.prepare_plot(close_all=False, linewidth=0.5) plot.plot_solution(mesh, physics, solver, "XVelocity", plot_numerical=True, plot_exact=False, plot_IC=False, create_new_figure=True, fmt='bo', legend_label="DG", include_mesh=False, regular_2D=True,
solver,
"Energy",
plot_numerical=True,
plot_exact=False,
plot_IC=False,
create_new_figure=True,
fmt='bo',
legend_label="DG")
# Exact solution
plot.plot_solution(mesh,
physics,
solver,
"Energy",
plot_exact=True,
plot_numerical=False,
create_new_figure=False,
fmt='k-')
# Initial condition
plot.plot_solution(mesh,
physics,
solver,
"Energy",
plot_IC=True,
plot_numerical=False,
create_new_figure=False,
fmt='k--')
# Save figure
plot.save_figure(file_name='energy', file_type='pdf', crop_level=2)
plot.show_plot()
fmt='k-.',
legend_label="Exact")
# DG solution
plot.plot_solution(mesh,
physics,
solver,
"Density",
plot_numerical=False,
plot_exact=False,
plot_IC=False,
plot_average=True,
create_new_figure=False,
fmt='bo',
legend_label="Numerical")
plot.save_figure(file_name='Density', file_type='png')
### Pressure
# Exact solution
plot.plot_solution(mesh,
physics,
solver,
"Pressure",
plot_numerical=False,
plot_exact=True,
plot_IC=False,
create_new_figure=True,
fmt='k-.',
legend_label="Exact")
# DG solution
plot.plot_solution(mesh,
''' Plot dispersion relation '''
plt.figure()
for i in range(norders):
plt.plot(Lplot / np.pi,
Omega_r_phys_all[:, i] / nb_all[i],
'--',
label="$p = %d$" % (orders[i]))
# Exact relation
plt.plot(np.array([Lplot[0], Lplot[-1]]) / np.pi,
np.array([Lplot[0], Lplot[-1]]),
'k:',
label="Exact")
plt.xlabel("$\\Lambda/\\pi$")
plt.ylabel("$\\Omega_r/N_p$")
plt.legend(loc="best")
plot.save_figure(file_name='Dispersion', file_type='pdf', crop_level=2)
''' Plot dissipation relation '''
plt.figure()
for i in range(norders):
plt.plot(Lplot[:-1] / np.pi,
Omega_i_phys_all[:-1, i] / nb_all[i],
'--',
label="$p = %d$" % (orders[i]))
# Exact relation
plt.plot(np.array([Lplot[0], Lplot[-1]]) / np.pi,
np.array([0., 0.]),
'k:',
label="Exact")
plt.xlabel("$\\Lambda/\\pi$")
plt.ylabel("$\\Omega_i/N_p$")
plt.legend(loc="best")