def line_plot():
"""Make a line plot of T along the vertical direction."""
if T.ufl_element().degree() != 1:
T2 = interpolate(T, FunctionSpace(mesh, 'Lagrange', 1))
else:
T2 = T
T_box = scitools.BoxField.dolfin_function2BoxField(
T2, mesh, divisions, uniform_mesh=True)
#T_box = scitools.BoxField.update_from_dolfin_array(
# T.vector().array(), T_box)
coor, Tval, fixed, snapped = \
T_box.gridline(start_pt, direction=d-1)
# Use just one ev.plot command, not hold('on') and two ev.plot
# etc for smooth movie on the screen
if kappa_0 == kappa_1: # analytical solution?
ev.plot(coor, Tval, 'r-',
coor, T_exact(coor), 'b-',
axis=[-D, 0, T_R-T_A, T_R+T_A],
xlabel='depth', ylabel='temperature',
legend=['numerical', 'exact, const kappa=%g' % kappa_0],
legend_loc='upper left',
title='t=%.4f' % t)
else:
ev.plot(coor, Tval, 'r-',
axis=[-D, 0, T_R-T_A, T_R+T_A],
xlabel='depth', ylabel='temperature',
title='t=%.4f' % t)
ev.savefig('tmp_%04d.png' % counter)
time.sleep(0.1)
def line_plot():
"""Make a line plot of T along the vertical direction."""
if T.ufl_element().degree() != 1:
T2 = interpolate(T, FunctionSpace(mesh, 'Lagrange', 1))
else:
T2 = T
T_box = scitools.BoxField.dolfin_function2BoxField(
T2, mesh, divisions, uniform_mesh=True)
#T_box = scitools.BoxField.update_from_dolfin_array(
# T.vector().array(), T_box)
coor, Tval, fixed, snapped = \
T_box.gridline(start_pt, direction=d-1)
# Use just one ev.plot command, not hold('on') and two ev.plot
# etc for smooth movie on the screen
if kappa_0 == kappa_1: # analytical solution?
ev.plot(coor, Tval, 'r-',
coor, T_exact(coor), 'b-',
axis=[-D, 0, T_R-T_A, T_R+T_A],
xlabel='depth', ylabel='temperature',
legend=['numerical', 'exact, const kappa=%g' % kappa_0],
legend_loc='upper left',
title='t=%.4f' % t)
else:
ev.plot(coor, Tval, 'r-',
axis=[-D, 0, T_R-T_A, T_R+T_A],
xlabel='depth', ylabel='temperature',
title='t=%.4f' % t)
ev.savefig('tmp_%04d.png' % counter)
time.sleep(0.1)
x = y = np.linspace(-10., 10., 11)
x2v, y2v = plt.ndgrid(x, y) # Define a coarser grid for the vector field
h2v = h0 / (1 + (x2v**2 + y2v**2) / (R**2)) # Compute height for new grid
dhdx, dhdy = np.gradient(h2v) # Compute the gradient vector (dh/dx,dh/dy)
# Draw contours and gradient field of h
plt.figure(9)
plt.quiver(x2v, y2v, dhdx, dhdy, 0, 'r')
plt.hold('on')
plt.contour(xv, yv, hv)
plt.axis('equal')
# end draw contours and gradient field of h
x = y = np.linspace(-5, 5, 11)
xv, yv = plt.ndgrid(x, y)
u = xv**2 + 2 * yv - .5 * xv * yv
v = -3 * yv
# Draw 2D-field
plt.figure(10)
plt.quiver(xv, yv, u, v, 200, 'b')
plt.axis('equal')
# end draw 2D-field
plt.figure(9)
plt.savefig('images/quiver_scitools_advanced.pdf')
plt.savefig('images/quiver_scitools_advanced.png')
plt.figure(10)
plt.savefig('images/quiver_scitools_simple.pdf')
plt.savefig('images/quiver_scitools_simple.png')
# 10 black ('k') contour lines
plt.figure(6)
plt.contour(xv, yv, hv, 10, 'k')
# Specify the contour levels explicitly as a list
plt.figure(7)
levels = [500., 1000., 1500., 2000.]
plt.contour(xv, yv, hv, levels=levels)
# Add labels with the contour level for each contour line
plt.figure(8)
plt.contour(xv, yv, hv, clabels='on')
#end contourplots
plt.figure(1)
plt.savefig('images/simple_plot_scitools.png')
plt.savefig('images/simple_plot_scitools.pdf')
plt.figure(2)
plt.savefig('images/simple_plot_colours_scitools.png')
plt.savefig('images/simple_plot_colours_scitools.pdf')
plt.figure(3)
plt.savefig('images/default_contour_scitools.pdf')
plt.savefig('images/default_contour_scitools.png')
plt.figure(4)
plt.savefig('images/default_contour3_scitools.png')
plt.savefig('images/default_contour3_scitools.pdf')
plt.figure(5)
# Draw contours and gradient field of h
plt.figure(9)
plt.quiver(x2v, y2v, dhdx, dhdy, 0, 'r')
plt.hold('on')
plt.contour(xv, yv, hv)
plt.axis('equal')
# end draw contours and gradient field of h
x = y = np.linspace(-5, 5, 11)
xv, yv = plt.ndgrid(x, y)
u = xv**2 + 2*yv - .5*xv*yv
v = -3*yv
# Draw 2D-field
plt.figure(10)
plt.quiver(xv, yv, u, v, 200, 'b')
plt.axis('equal')
# end draw 2D-field
plt.figure(9)
plt.savefig('images/quiver_scitools_advanced.pdf')
plt.savefig('images/quiver_scitools_advanced.png')
plt.figure(10)
plt.savefig('images/quiver_scitools_simple.pdf')
plt.savefig('images/quiver_scitools_simple.png')
# 10 black ('k') contour lines
plt.figure(6)
plt.contour(xv, yv, hv, 10, 'k')
# Specify the contour levels explicitly as a list
plt.figure(7)
levels = [500., 1000., 1500., 2000.]
plt.contour(xv, yv, hv, levels=levels)
# Add labels with the contour level for each contour line
plt.figure(8)
plt.contour(xv, yv, hv, clabels='on')
#end contourplots
plt.figure(1)
plt.savefig('images/simple_plot_scitools.png')
plt.savefig('images/simple_plot_scitools.pdf')
plt.figure(2)
plt.savefig('images/simple_plot_colours_scitools.png')
plt.savefig('images/simple_plot_colours_scitools.pdf')
plt.figure(3)
plt.savefig('images/default_contour_scitools.pdf')
plt.savefig('images/default_contour_scitools.png')
plt.figure(4)
plt.savefig('images/default_contour3_scitools.png')
plt.savefig('images/default_contour3_scitools.pdf')
plt.figure(5)
