def test_plot_solution_salt_dome(): from pygeoiga.nurb.cad import make_salt_dome from pygeoiga.analysis.MultiPatch import patch_topology, form_k_IGA_mp, boundary_condition_mp from pygeoiga.analysis.common import solve from pygeoiga.plot.solution_mpl import p_temperature, p_temperature_mp from pygeoiga.analysis.MultiPatch import map_MP_elements geometry = make_salt_dome(refine=True, knot_ins= [np.arange(0.2,1,0.2), np.arange(0.2,1,0.2)]) geometry, gDoF = patch_topology(geometry) K_glob = np.zeros((gDoF, gDoF)) K_glob = form_k_IGA_mp(geometry, K_glob) D = np.zeros(gDoF) b = np.zeros(gDoF) T_t = 10 # [°C] T_b = 90 # [°C] T_l = None#10 T_r = None#40 bc, D = boundary_condition_mp(geometry, D, T_t, T_b, T_l, T_r) bc["gDOF"] = gDoF D, b = solve(bc, K_glob, b, D) geometry = map_MP_elements(geometry, D) from pygeoiga.plot.nrbplotting_mpl import p_surface, p_cpoints, p_knots, create_figure fig, ax = create_figure("2d") #ax.view_init(azim=270, elev=90) fig_sol, ax_sol = create_figure("2d") geometrypatch = make_salt_dome(refine=False) figpatch, axpatch = create_figure("2d") for patch_id in geometry.keys(): ax = p_surface(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax, dim=2, color=geometry[patch_id].get("color"), alpha=0.5) #ax = p_cpoints(geometry[patch_id].get("B"), ax=ax, dim=2, color="black", marker=".", point=True, line=False) ax = p_knots(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax, dim=2, point=False, line=True) axpatch = p_surface(geometrypatch[patch_id].get("knots"), geometrypatch[patch_id].get("B"), ax=axpatch, dim=2, color=geometrypatch[patch_id].get("color"), alpha=0.5) #axpatch = p_cpoints(geometry[patch_id].get("B"), ax=axpatch, dim=2, color="black", marker=".", point=True, line=False) axpatch = p_knots(geometrypatch[patch_id].get("knots"), geometrypatch[patch_id].get("B"), ax=axpatch, dim=2, point=False, line=True) #ax_sol = p_cpoints(geometry[patch_id].get("B"), ax=ax_sol, dim=2, color=geometry[patch_id].get("color"), marker=".", point=True, line=False) ax_sol = p_surface(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax_sol, dim=2, color="k", fill=False) x = geometry[patch_id].get("x_sol") y = geometry[patch_id].get("y_sol") t = geometry[patch_id].get("t_sol") ax_sol = p_temperature(x,y,t, vmin = np.min(D), vmax = np.max(D), levels=50, show=False, colorbar=True, ax=ax_sol, point = False, fill=True)#, color = "k") fig.show() fig_sol.show() figpatch.show() fig_all, ax_all = create_figure("2d") p_temperature_mp(geometry=geometry, vmin=np.min(D), vmax=np.max(D), levels=50, show=False, colorbar=True, ax=ax_all, point=False, fill=True, contour=False) plt.show()
def test_plot_solution_mp_fault(): geometry = make_fault_model(refine=True) geometry, gDoF = patch_topology(geometry) K_glob = np.zeros((gDoF, gDoF)) K_glob = form_k_IGA_mp(geometry, K_glob) D = np.zeros(gDoF) b = np.zeros(gDoF) T_t = 10 # [°C] T_b = 40 # [°C] T_l = None T_r = None bc, D = boundary_condition_mp(geometry, D, T_t, T_b, T_l, T_r) bc["gDOF"] = gDoF D, b = solve(bc, K_glob, b, D) geometry = map_MP_elements(geometry, D) from pygeoiga.plot.nrbplotting_mpl import p_surface, p_cpoints, p_knots, create_figure fig, ax = create_figure("2d") fig_sol, ax_sol = create_figure("2d")# fig_point, ax_point = create_figure("2d") # for patch_id in geometry.keys(): ax = p_surface(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax, dim=2, color=geometry[patch_id].get("color"), alpha=0.5) ax = p_cpoints(geometry[patch_id].get("B"), ax=ax, dim=2, color="black", marker=".", point=True, line=False) ax = p_knots(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax, dim=2, point=False, line=True) #ax_sol = p_cpoints(geometry[patch_id].get("B"), ax=ax_sol, dim=2, color=geometry[patch_id].get("color"), marker=".", point=True, line=False) #ax_sol = p_knots(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), # color = geometry[patch_id].get("color"), ax=ax_sol, dim=2, point=False, line=True) x = geometry[patch_id].get("x_sol") y = geometry[patch_id].get("y_sol") t = geometry[patch_id].get("t_sol") ax_sol = p_temperature(x,y,t, vmin = np.min(D), vmax = np.max(D), levels=50, show=False, colorbar=True, ax=ax_sol, point = False, fill=True, contour=False) ax_point = p_temperature(x, y, t, vmin=np.min(D), vmax=np.max(D), levels=100, show=False, colorbar=True, ax=ax_point, point=True, fill=False) ax_sol = p_surface(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), ax=ax_sol, dim=2, color="k", alpha=1, fill=False, border=True) fig.show() fig_sol.show() fig_point.show() fig_all, ax_all = create_figure("2d") p_temperature_mp(geometry=geometry, vmin=np.min(D), vmax=np.max(D), levels=200, show=False, colorbar=True, ax=ax_all, point=False, fill=True, contour=False) fig_all.show()
def test_plot_solution_mp_3d(): import matplotlib matplotlib.use('Qt5Agg') geometry = make_3_layer_patches() geometry, gDoF = patch_topology(geometry) K_glob = np.zeros((gDoF, gDoF)) K_glob = form_k_IGA_mp(geometry, K_glob) D = np.zeros(gDoF) b = np.zeros(gDoF) T_t = 10 # [°C] T_b = lambda x, m: T_t + 10 * np.sin(np.pi * x / m) # [°C] T_l = None T_r = None bc, D = boundary_condition_mp(geometry, D, T_t, T_b, T_l, T_r) bc["gDOF"] = gDoF D, b = solve(bc, K_glob, b, D) geometry = map_MP_elements(geometry, D) from pygeoiga.plot.nrbplotting_mpl import p_knots, create_figure fig, ax = create_figure() for patch_id in geometry.keys(): ax = p_knots(geometry[patch_id].get("knots"), geometry[patch_id].get("B"), color = geometry[patch_id].get("color"), ax=ax, dim=2, point=False, line=True) x = geometry[patch_id].get("x_sol") y = geometry[patch_id].get("y_sol") t = geometry[patch_id].get("t_sol") ax = p_temperature(x,y,t, vmin = np.min(D), vmax = np.max(D), levels=50, show=False, colorbar=True, ax=ax, point = True, fill=True, color = "k") plt.show()
def plot_curve(self, ax=None, **kwargs_curve): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) ax = p_curve(self.knots, self.B, weight=self.weight, ax=ax, **kwargs_curve) return ax
def plot_cpoints(self, ax=None, **kwargs_cpoints): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) for patch_name in tqdm(self.geometry.keys(), desc="Plotting control points"): ax = p_cpoints(self.geometry[patch_name].get("B"), ax=ax, **kwargs_cpoints) return ax
def plot_knots(self, ax=None, **kwargs_knots): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) for patch_name in tqdm(self.geometry.keys(), desc="Plotting knots"): ax = p_knots(self.geometry[patch_name].get("knots"), self.geometry[patch_name].get("B"), weight=self.geometry[patch_name].get("weight"), ax=ax, **kwargs_knots) return ax
def test_plot_biquadratic(): from pygeoiga.nurb.cad import make_surface_biquadratic from pygeoiga.plot.nrbplotting_mpl import p_knots, create_figure, p_cpoints from pygeoiga.nurb.refinement import knot_insertion knots, cp = make_surface_biquadratic() shape = np.asarray(cp.shape) shape[-1] = cp.shape[-1] + 1 B = np.ones((shape)) B[..., :cp.shape[-1]] = cp fig, ax = create_figure("2d") ax = p_knots(knots, B, ax=ax, dim=2, point=False, line=True, color="b") ax.set_axis_off() plt.show() direction = 0 knot_ins = np.asarray([0.2, 0.8]) B_new, knots_new = knot_insertion(B.copy(), (2, 2), knots.copy(), knot_ins, direction=direction) knot_ins = np.asarray([0.3, 0.7]) direction = 1 B_new2, knots_new2 = knot_insertion(B_new, (2, 2), knots_new, knot_ins, direction=direction) fig, ax = create_figure("2d") ax = p_knots(knots_new2, B_new2, ax=ax, dim=2, point=False, line=True, color="b") ax = p_cpoints(B_new2, ax=ax, dim=2, point=True, line=False, color="red") ax.set_axis_off() plt.show() direction = 0 knot_ins = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9] B_new, knots_new = knot_insertion(B.copy(), (2, 2), knots.copy(), knot_ins, direction=direction) direction = 1 knot_ins = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9] B_new2, knots_new2 = knot_insertion(B_new, (2, 2), knots_new, knot_ins, direction=direction) fig, ax = create_figure("2d") ax = p_knots(knots_new2, B_new2, ax=ax, dim=2, point=False, line=True, color="b") #ax = p_cpoints(geometry[patch_id].get("B"), ax=ax, dim=2, color="black", marker=".", point=True, line=False) ax.set_axis_off() plt.show()
def plot(self, ax=None, kwargs_surface={}, kwargs_knots={}, kwargs_cpoints={}): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) ax = self.plot_surface(ax, **kwargs_surface) ax = self.plot_knots(ax, **kwargs_knots) ax = self.plot_cpoints(ax, **kwargs_cpoints) return ax
def plot_solution(self, ax=None, **kwargs_temperature): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) tmin = 200 tmax = -200 for patch_name in self.geometry.keys(): t = self.geometry[patch_name].get("t_sol") tmin = t.min() if t.min() < tmin else tmin tmax = t.max() if t.max() > tmax else tmax for patch_name in tqdm(self.geometry.keys(), desc="Plotting solutions"): x = self.geometry[patch_name].get("x_sol") y = self.geometry[patch_name].get("y_sol") t = self.geometry[patch_name].get("t_sol") ax = p_temperature(x, y, t, vmin=tmin, vmax=tmax, ax=ax, **kwargs_temperature) return ax
def plot_cpoints(self, ax=None, **kwargs_cpoints): if ax is None: fig, ax = create_figure("2d", figsize=(10, 20)) ax = p_cpoints(self.B, ax=ax, **kwargs_cpoints) return ax
def test_show_simple_mesh_IGA(): from pygeoiga.plot.nrbplotting_mpl import create_figure, p_cpoints, p_knots, p_curve, p_surface cp = np.array([[[0, 0], [3, 0]], [[0, 2], [3, 2]]]) kn1 = [0, 0, 1, 1] kn2 = [0, 0, 1, 1] knots = [kn1, kn2] shape = np.asarray(cp.shape) shape[-1] = 3 # To include the weights in the last term B = np.ones(shape) B[..., :2] = cp from pygeoiga.nurb.refinement import knot_insertion B, knots = knot_insertion(B, [1, 1], knots, [0.5], 0) B, knots = knot_insertion(B, [1, 1], knots, [1 / 3, 2 / 3], 1) fig, ax = create_figure("2d") ax.spines["right"].set_visible(False) ax.spines["top"].set_visible(False) ax.set_xlabel("x") ax.set_ylabel("y") ax.set_xticks([]) ax.set_yticks([]) ax = p_knots(knots, B, ax=ax, dim=2, point=False, line=True, color="black") ax = p_cpoints(B, ax=ax, dim=2, color="red", marker="o", point=True, line=False) n, m = B.shape[0], B.shape[1] P = np.asarray([(B[x, y, 0], B[x, y, 1]) for x in range(n) for y in range(m)]) for count, point in enumerate(P): ax.annotate(str(count), point, xytext=(5, 5), textcoords="offset points") ax.annotate("$\Omega_1$", (0.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_2$", (1.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_3$", (2.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_4$", (0.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_5$", (1.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_6$", (2.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") fig.show() knots = [kn1, kn2] shape = np.asarray(cp.shape) shape[-1] = 3 # To include the weights in the last term B = np.ones(shape) B[..., :2] = cp from pygeoiga.nurb.refinement import degree_elevation B, knots = degree_elevation(B, knots, direction=0) B, knots = degree_elevation(B, knots, direction=1) from pygeoiga.nurb.refinement import knot_insertion B, knots = knot_insertion(B, [2, 2], knots, [0.5], 0) B, knots = knot_insertion(B, [2, 2], knots, [1 / 3, 2 / 3], 1) fig2, ax2 = create_figure("2d") # ax2.set_axis_off() ax2.spines["right"].set_visible(False) ax2.spines["top"].set_visible(False) ax2.set_xlabel("x") ax2.set_ylabel("y") ax2.set_xticks([]) ax2.set_yticks([]) ax2 = p_knots(knots, B, ax=ax2, dim=2, point=False, line=True, color="black") ax2 = p_cpoints(B, ax=ax2, dim=2, color="red", marker="o", point=True, line=False) n, m = B.shape[0], B.shape[1] P = np.asarray([(B[x, y, 0], B[x, y, 1]) for x in range(n) for y in range(m)]) for count, point in enumerate(P): ax2.annotate(str(count), point, xytext=(5, 5), textcoords="offset points") disp = (28, 30) ax2.annotate("$\Omega_1$", (0.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_2$", (1.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_3$", (2.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_4$", (0.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_5$", (1.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_6$", (2.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") fig2.show() save = True if save or save_all: fig.savefig(fig_folder + "NURB_mesh_1_degree.pdf", **kwargs_savefig) fig2.savefig(fig_folder + "NURB_mesh_2_degree.pdf", **kwargs_savefig)
def test_show_modifysimple_mesh(): from pygeoiga.plot.nrbplotting_mpl import create_figure, p_cpoints, p_knots, p_curve, p_surface cp = np.array([[[0, 0], [1, 0], [2, 0], [3, 0]], [[0, 1], [1, 1], [2, 1], [3, 1]], [[0, 2], [1, 2], [2, 2], [3, 2]]]) kn1 = [0, 0, 0.5, 1, 1] kn2 = [0, 0, 1 / 3, 2 / 3, 1, 1] fig, ax = create_figure("2d") #ax.set_axis_off() ax.spines["right"].set_visible(False) ax.spines["top"].set_visible(False) ax.set_xlabel("x") ax.set_ylabel("y") ax.set_xticks([]) ax.set_yticks([]) ax = p_knots([kn1, kn2], cp, ax=ax, dim=2, point=False, line=True, color="black") ax = p_cpoints(cp, ax=ax, dim=2, color="red", marker="o", point=True, line=False) n, m = cp.shape[0], cp.shape[1] P = np.asarray([(cp[x, y, 0], cp[x, y, 1]) for x in range(n) for y in range(m)]) for count, point in enumerate(P): ax.annotate(str(count), point, xytext=(5, 5), textcoords="offset points") ax.annotate("$\Omega_1$", (0.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_2$", (1.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_3$", (2.5, 0.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_4$", (0.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_5$", (1.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") ax.annotate("$\Omega_6$", (2.5, 1.5), fontsize=20, xytext=(-5, -5), textcoords="offset points") fig.show() cp_2 = np.array([[[0., 0.], [0.5, 0.], [1., 0.], [1.5, 0.], [2., 0.], [2.5, 0.], [3., 0.]], [[0., 0.5], [0.5, 0.5], [1., 0.5], [1.5, 0.5], [2., 0.5], [2.5, 0.5], [3., 0.5]], [[0., 1.], [0.5, 1.], [1., 1.], [1.5, 1.], [2., 1.], [2.5, 1.], [3., 1.]], [[0., 1.5], [0.5, 1.5], [1., 1.5], [1.5, 1.5], [2., 1.5], [2.5, 1.5], [3., 1.5]], [[0., 2.], [0.5, 2.], [1., 2.], [1.5, 2.], [2., 2.], [2.5, 2.], [3., 2.]]]) knots = (np.array([0., 0., 0., 0.5, 0.5, 1., 1., 1.]), np.array([ 0., 0., 0., 0.33333333, 0.33333333, 0.66666667, 0.66666667, 1., 1., 1. ])) fig2, ax2 = create_figure("2d") #ax2.set_axis_off() ax2.spines["right"].set_visible(False) ax2.spines["top"].set_visible(False) ax2.set_xlabel("x") ax2.set_ylabel("y") ax2.set_xticks([]) ax2.set_yticks([]) ax2 = p_knots(knots, cp_2, ax=ax2, dim=2, point=False, line=True, color="black") ax2 = p_cpoints(cp_2, ax=ax2, dim=2, color="red", marker="o", point=True, line=False) n, m = cp_2.shape[0], cp_2.shape[1] P = np.asarray([(cp_2[x, y, 0], cp_2[x, y, 1]) for x in range(n) for y in range(m)]) for count, point in enumerate(P): ax2.annotate(str(count), point, xytext=(5, 5), textcoords="offset points") disp = (28, 30) ax2.annotate("$\Omega_1$", (0.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_2$", (1.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_3$", (2.5, 0.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_4$", (0.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_5$", (1.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") ax2.annotate("$\Omega_6$", (2.5, 1.5), fontsize=20, xytext=disp, textcoords="offset points") fig2.show() save = True if save or save_all: fig.savefig(fig_folder + "mesh_1degree.pdf", **kwargs_savefig) fig2.savefig(fig_folder + "mesh_2degree.pdf", **kwargs_savefig)
def test_explicit_model(): import matplotlib from pygeoiga.plot.nrbplotting_mpl import create_figure, p_cpoints, p_knots, p_curve, p_surface img = matplotlib.image.imread('dike.jpg') fig, ax = plt.subplots() ax.imshow(img, alpha=.8, extent=(0, 300, 0, 178)) ax.set_aspect("equal") ax.set_xlabel("x (m)") ax.set_ylabel("y (m)") ### Big dike cp_1 = np.array([[[223, 0], [145, 60], [108, 90], [71, 149]], [[300, 0], [300, 4.5], [141, 111], [104, 159]]]) kn1_1 = [0, 0, 1, 1] kn1_2 = [0, 0, 0.3, 0.6, 1, 1] knots_1 = [kn1_1, kn1_2] ax = p_cpoints(cp_1, ax=ax, dim=2, color="black", marker="s", point=True, line=False) ax = p_knots(knots_1, cp_1, ax=ax, dim=2, point=True, line=True) ### middle dike cp_2 = np.array([[[0, 40], [92, 86], [197, 154], [300, 178]], [[0, 94], [80, 120], [91, 144], [204, 178]]]) kn2_1 = [0, 0, 1, 1] kn2_2 = [0, 0, 0.3, 0.6, 1, 1] knots_2 = [kn2_1, kn2_2] ax = p_cpoints(cp_2, ax=ax, dim=2, color="black", marker="s", point=True, line=False) ax = p_knots(knots_2, cp_2, ax=ax, dim=2, point=True, line=True) ### Weathered dike cp_3 = np.array([[[0, 94], [90, 100], [91, 144], [204, 178]], [[0, 100], [80, 150], [91, 160], [204, 178]], [[0, 178], [80, 178], [142, 178], [204, 178]]]) kn3_1 = [0, 0, 0, 1, 1, 1] kn3_2 = [0, 0, 0, 0.5, 1, 1, 1] knots_3 = [kn3_1, kn3_2] ax = p_cpoints(cp_3, ax=ax, dim=2, color="black", marker="s", point=True, line=False) ax = p_knots(knots_3, cp_3, ax=ax, dim=2, point=True, line=True) ### Bottom cp_4 = np.array([[[0, 40], [92, 86], [197, 154], [300, 178]], [[0, 0], [92, 0], [197, 0], [300, 0]]]) kn4_1 = [0, 0, 1, 1] kn4_2 = [0, 0, 0.3, 0.6, 1, 1] knots_4 = [kn4_1, kn4_2] ax = p_cpoints(cp_4, ax=ax, dim=2, color="black", marker="s", point=True, line=False) ax = p_knots(knots_4, cp_4, ax=ax, dim=2, point=True, line=True) ax.set_xlim(0, 300) ax.set_ylim(0, 178) fig.show() fig2, ax2 = create_figure("2d") p_surface(knots_4, cp_4, ax=ax2, dim=2, color="red", border=False, label="Dike1") p_surface(knots_2, cp_2, ax=ax2, dim=2, color="blue", border=False, label="Dike2") p_surface(knots_1, cp_1, ax=ax2, dim=2, color="yellow", border=False, label="Dike3") p_surface(knots_3, cp_3, ax=ax2, dim=2, color="gray", border=False, label="Unknown") ax2.set_xlim(0, 300) ax2.set_ylim(0, 178) ax2.set_aspect("equal") ax2.set_xlabel("x (m)") ax2.set_ylabel("y (m)") ax2.legend(loc="center right", facecolor='white', framealpha=0.8) fig2.show() fig3, ax3 = create_figure("2d") ax3.imshow(img, alpha=.8, extent=(0, 300, 0, 178)) #p_surface(knots_4, cp_4, ax=ax3, dim=2, color="red", fill=False, label="Dike1") #p_surface(knots_2, cp_2, ax=ax3, dim=2, color="blue", fill=False, label="Dike2") #p_surface(knots_1, cp_1, ax=ax3, dim=2, color="yellow", fill=False, label="Dike3") #p_surface(knots_3, cp_3, ax=ax3, dim=2, color="gray", fill=False, label="Unknown") ax3.set_xlim(0, 300) ax3.set_ylim(0, 178) ax3.set_aspect("equal") ax3.set_xlabel("x (m)") ax3.set_ylabel("y (m)") #ax3.legend(loc="center right") fig3.show() save = False if save or save_all: fig2.savefig(fig_folder + "model_explicit.pdf", **kwargs_savefig) fig3.savefig(fig_folder + "original_explicit.pdf", **kwargs_savefig)