Size: 8274
Comment: small improvements to the second interact
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Size: 8112
Comment: even smaller changes
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Deletions are marked like this. | Additions are marked like this. |
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def F(uu, vv): X = vector([x, y, z]) return X.subs({u : uu, v : vv}) |
F = vector([x, y, z]) |
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S_plot = parametric_plot3d( F(u, v), | S_plot = parametric_plot3d( F, |
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show(S_plot, aspect_ratio = [1, 1, 1]) | S_plot.show(aspect_ratio = [1, 1, 1]) |
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dFu = F(u, v).diff(u) dFv = F(u, v).diff(v) |
dFu = F.diff(u) dFv = F.diff(v) |
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dFtt = F(ufunc, vfunc).diff(t, t) | dFtt = F(u=ufunc, v=vfunc).diff(t, t) |
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t = srange(0, int_s, 0.01) ) | t = srange(0, int_s, 0.01)) |
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geo3D = [F(l,r) for [j, k, l, r] in geo2D_aux] | geo3D = [F(u=l,v=r) for [j, k, l, r] in geo2D_aux] |
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g_plot = fading_line3d(geo3D, rgbcolor1 = (1, 0, 0), rgbcolor2 = (0, 1, 0), thickness=4) |
g_plot = fading_line3d(geo3D, rgbcolor1 = (1, 0, 0), rgbcolor2 = (0, 1, 0), thickness=4) |
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P = F(Point[0], Point[1]) | P = F(u=Point[0], v=Point[1]) |
Sage Interactions - Geometry
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Contents
Intersecting tetrahedral reflections
by Marshall Hampton. Inspired by a question from Hans Schepker of Glass Geometry.
#Pairs of tetrahedra, one the reflection of the other in the internal face, are joined by union operations: p1 = Polyhedron(vertices = [[1,1,1],[1,1,0],[0,1,1],[1,0,1]]) p2 = Polyhedron(vertices = [[1/3,1/3,1/3],[1,1,0],[0,1,1],[1,0,1]]) p12 = p1.union(p2) p3 = Polyhedron(vertices = [[0,0,1],[0,0,0],[0,1,1],[1,0,1]]) p4 = Polyhedron(vertices = [[2/3,2/3,1/3],[0,0,0],[0,1,1],[1,0,1]]) p34 = p3.union(p4) p5 = Polyhedron(vertices = [[1,0,0],[1,0,1],[0,0,0],[1,1,0]]) p6 = Polyhedron(vertices = [[1/3,2/3,2/3],[1,0,1],[0,0,0],[1,1,0]]) p56 = p5.union(p6) p7 = Polyhedron(vertices = [[0,1,0],[0,0,0],[1,1,0],[0,1,1]]) p8 = Polyhedron(vertices = [[2/3,1/3,2/3],[0,0,0],[1,1,0],[0,1,1]]) p78 = p7.union(p8) pti = p12.intersection(p34).intersection(p56).intersection(p78) @interact def tetra_plot(opac = slider(srange(0,1.0,.25), default = .25)): p12r = p12.render_wireframe()+p12.render_solid(opacity = opac) p34r = p34.render_wireframe()+p34.render_solid(rgbcolor = (0,0,1),opacity = opac) p56r = p56.render_wireframe()+p56.render_solid(rgbcolor = (0,1,0),opacity = opac) p78r = p78.render_wireframe()+p78.render_solid(rgbcolor = (0,1,1),opacity = opac) ptir = pti.render_wireframe()+pti.render_solid(rgbcolor = (1,0,1),opacity = .9) show(p12r+p34r+p56r+p78r+ptir, frame = False)
Evolutes
by Pablo Angulo. Computes the evolute of a plane curve given in parametric coordinates. The curve must be parametrized from the interval [0,2pi].
var('t'); def norma(v): return sqrt(sum(x^2 for x in v)) paso_angulo=5 @interact def _( gamma1=input_box(default=sin(t)), gamma2=input_box(default=1.3*cos(t)), draw_normal_lines=True, rango_angulos=range_slider(0,360,paso_angulo,(0,90),label='Draw lines for these angles'), draw_osculating_circle=True, t0=input_box(default=pi/3,label='parameter value for the osculating circle'), auto_update=False ): gamma=(gamma1,gamma2) gammap=(gamma[0].derivative(),gamma[1].derivative()) normal=(gammap[1]/norma(gammap), -gammap[0]/norma(gammap)) gammapp=(gammap[0].derivative(),gammap[1].derivative()) np=norma(gammap) npp=norma(gammapp) pe=gammap[0]*gammapp[0]+gammap[1]*gammapp[1] curvatura=(gammap[1]*gammapp[0]-gammap[0]*gammapp[1])/norma(gammap)^3 radio=1/curvatura centros=(gamma[0]+radio*normal[0],gamma[1]+radio*normal[1]) curva=parametric_plot(gamma,(t,0,2*pi)) evoluta=parametric_plot(centros,(t,0,2*pi), color='red') grafica=curva+evoluta if draw_normal_lines: f=2*pi/360 lineas=sum(line2d( [ (gamma[0](t=i*f), gamma[1](t=i*f)), (centros[0](t=i*f), centros[1](t=i*f)) ], thickness=1,rgbcolor=(1,0.8,0.8)) for i in range(rango_angulos[0], rango_angulos[1]+paso_angulo, paso_angulo)) grafica+=lineas if draw_osculating_circle and 0<t0<2*pi: punto=point((gamma[0](t=t0), gamma[1](t=t0)), rgbcolor=hue(0),pointsize=30) circulo=circle( (centros[0](t=t0), centros[1](t=t0)), radio(t=t0) ) grafica+=punto+circulo show(grafica,aspect_ratio=1,xmin=-2,xmax=2,ymin=-2,ymax=2)
Geodesics on a parametric surface
by Antonio Valdés and Pablo Angulo. A first interact allows the user to introduce a parametric surface, and draws it. Then a second interact draws a geodesic within the surface. The separation is so that after the first interact, the geodesic equations are "compiled", and then the second interact is faster.
u, v, t = var('u v t') @interact def _(x = input_box(3*sin(u)*cos(v), 'x'), y = input_box(sin(u)*sin(v), 'y'), z = input_box(2*cos(u), 'z'), _int_u = input_grid(1, 2, default = [[0,pi]], label = 'u -interval'), _int_v = input_grid(1, 2, default = [[-pi,pi]], label = 'v -interval')): global F, Fu, Fv, func, S_plot, int_u, int_v int_u = _int_u[0] int_v = _int_v[0] F = vector([x, y, z]) S_plot = parametric_plot3d( F, (u, int_u[0], int_u[1]), (v, int_v[0], int_v[1])) S_plot.show(aspect_ratio = [1, 1, 1]) dFu = F.diff(u) dFv = F.diff(v) Fu = fast_float(dFu, u, v) Fv = fast_float(dFv, u, v) ufunc = function('ufunc', t) vfunc = function('vfunc', t) dFtt = F(u=ufunc, v=vfunc).diff(t, t) ec1 = dFtt.dot_product(dFu(u=ufunc, v=vfunc)) ec2 = dFtt.dot_product(dFv(u=ufunc, v=vfunc)) dv, ddv, du, ddu = var('dv, ddv, du, ddu') diffec1 = ec1.subs_expr(diff(ufunc, t) == du, diff(ufunc, t, t) == ddu, diff(vfunc, t) == dv, diff(vfunc, t, t) == ddv, ufunc == u, vfunc == v) diffec2 = ec2.subs_expr(diff(ufunc, t) == du, diff(ufunc, t, t) == ddu, diff(vfunc, t) == dv, diff(vfunc, t, t) == ddv, ufunc == u, vfunc == v) sols = solve([diffec1 == 0 , diffec2 == 0], ddu, ddv) ddu_rhs = (sols[0][0]).rhs().full_simplify() ddv_rhs = (sols[0][1]).rhs().full_simplify() ddu_ff = fast_float(ddu_rhs, du, dv, u, v) ddv_ff = fast_float(ddv_rhs, du, dv, u, v) def func(y,t): v = list(y) return [ddu_ff(*v), ddv_ff(*v), v[0], v[1]]
from scipy.integrate import odeint def fading_line3d(points, rgbcolor1, rgbcolor2, *args, **kwds): L = len(points) vcolor1 = vector(RDF, rgbcolor1) vcolor2 = vector(RDF, rgbcolor2) return sum(line3d(points[j:j+2], rgbcolor = tuple( ((L-j)/L)*vcolor1 + (j/L)*vcolor2 ), *args, **kwds) for j in srange(L-1)) steps = 100 @interact def _(u_0 = slider(int_u[0], int_u[1], (int_u[1] - int_u[0])/100, default = (int_u[0] + int_u[1])/2, label = 'u_0'), v_0 = slider(int_v[0], int_v[1], (int_v[1] - int_v[0])/100, default = (int_v[0] + int_v[1])/2, label = 'v_0'), V_u = slider(-10, 10, 1/10, default = 1, label = 'V_u'), V_v = slider(-10, 10, 1/10, default = 0, label = 'V_v'), int_s = slider(0, 10, 1/10, default = (int_u[1] - int_u[0])/2, label = 'geodesic interval'), sliding_color = checkbox(True,'change color along the geodesic')): du, dv, u, v = var('du dv u v') Point = [u_0, v_0] velocity = [V_u, V_v] Point = map(float, Point) velocity = map(float, velocity) geo2D_aux = odeint(func, y0 = [velocity[0], velocity[1], Point[0], Point[1]], t = srange(0, int_s, 0.01)) geo3D = [F(u=l,v=r) for [j, k, l, r] in geo2D_aux] if sliding_color: g_plot = fading_line3d(geo3D, rgbcolor1 = (1, 0, 0), rgbcolor2 = (0, 1, 0), thickness=4) else: g_plot = line3d(geo3D, rgbcolor=(0, 1, 0), thickness=4) P = F(u=Point[0], v=Point[1]) P_plot = point3d((P[0], P[1], P[2]), rgbcolor = (0, 0, 0), pointsize = 30) V = velocity[0] * Fu(u = Point[0], v = Point[1]) + \ velocity[1] * Fv(u= Point[0], v = Point[1]) V_plot = arrow3d(P, P + V, color = 'black') show(g_plot + S_plot + V_plot + P_plot,aspect_ratio = [1, 1, 1])