예제 #1
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def morph(clm1, clm2, t, lmax):
    """Interpolate linearly the two sets of sph harm. coeeficients."""
    clm = (1 - t) * clm1 + t * clm2
    grid_reco = clm.expand(lmax=lmax)  # cut "high frequency" components
    agrid_reco = grid_reco.to_array()
    pts = []
    for i, longs in enumerate(agrid_reco):
        ilat = grid_reco.lats()[i]
        for j, value in enumerate(longs):
            ilong = grid_reco.lons()[j]
            th = np.deg2rad(90 - ilat)
            ph = np.deg2rad(ilong)
            r = value + rbias
            p = np.array([sin(th) * cos(ph), sin(th) * sin(ph), cos(th)]) * r
            pts.append(p)
    return pts
예제 #2
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def derivs(state, t):
    dydx = np.zeros_like(state)
    dydx[0] = state[1]
    a = state[2] - state[0]
    sina, cosa = sin(a), cos(a)
    den1 = (M1 + M2) * L1 - M2 * L1 * cosa * cosa
    dydx[1] = (M2 * L1 * state[1] * state[1] * sina * cosa + M2 * G *
               sin(state[2]) * cosa + M2 * L2 * state[3] * state[3] * sina -
               (M1 + M2) * G * sin(state[0])) / den1
    dydx[2] = state[3]
    den2 = (L2 / L1) * den1
    dydx[3] = (-M2 * L2 * state[3] * state[3] * sina * cosa +
               (M1 + M2) * G * sin(state[0]) * cosa -
               (M1 + M2) * L1 * state[1] * state[1] * sina -
               (M1 + M2) * G * sin(state[2])) / den2
    return dydx
예제 #3
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def makeGrid(shape, N):
    rmax = 2.0  # line length
    agrid, pts = [], []
    for th in np.linspace(0, np.pi, N, endpoint=True):
        lats = []
        for ph in np.linspace(0, 2 * np.pi, N, endpoint=True):
            p = np.array([sin(th) * cos(ph), sin(th) * sin(ph), cos(th)]) * rmax
            intersections = shape.intersectWithLine([0, 0, 0], p)
            if len(intersections):
                value = mag(intersections[0])
                lats.append(value - rbias)
                pts.append(intersections[0])
            else:
                lats.append(rmax - rbias)
                pts.append(p)
        agrid.append(lats)
    agrid = np.array(agrid)
    actor = Points(pts, c="k", alpha=0.4, r=1)
    return agrid, actor
예제 #4
0
파일: trail.py 프로젝트: wroldwiedbwe/vedo
"""
Example usage of addTrail().
Add a trailing line to a moving object.
"""
print(__doc__)
from vedo import Plotter, sin, Sphere, Point

vp = Plotter(axes=6, interactive=False)

s = Sphere().c("green").bc("tomato")
s.cutWithPlane([-0.9, 0, 0])  # cut left part of sphere

p = Point([1, 1, 1], r=12, c="black")

# add a trail to point p with max length 0.5 and 50 segments
p.addTrail(lw=3, maxlength=0.5, n=50)

# add meshes to Plotter list
vp += [s, p]

for i in range(200):
    p.pos(-2 + i / 100.0, sin(i / 5.0) / 15, 0)
    vp.camera.Azimuth(-0.2)
    vp.show()

vp.show(interactive=True)
예제 #5
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# for i, j in G.edges(): g.addEdge(j,i)

##################### Manually create nodes and edges
for i in range(6): g.addChild(i)  # add one child node to node i
for i in range(3): g.addChild(i)
for i in range(3): g.addChild(i)
for i in range(7,9): g.addChild(i)
for i in range(3): g.addChild(12) # add 3 children to node 12
g.addEdge(1,16)

##################### build and draw
graph = g.build().unpack(0).lineWidth(4) # get the vedo 3d graph lines
nodes = graph.points()                   # get the 3d points of the nodes

pts = Points(nodes, r=10).lighting('off')

v1 = ['node'+str(n) for n in range(len(nodes))]
v2 = [sin(x) for x in range(len(nodes))]
labs1 = pts.labels(v1, scale=.04, italic=True).addPos(.05,0.04,0).c('green')
labs2 = pts.labels(v2, scale=.04, precision=3).addPos(.05,-.04,0).c('red')

# Interpolate the node value to color the edges:
graph.cmap('viridis', v2).addScalarBar3D(c='k').addPos(.3,0,0)
pts.cmap('viridis', v2)

# This would colorize the edges directly with solid color based on a v3 array:
# v3 = [sin(x) for x in range(graph.NCells())]
# graph.cmap('jet', v3).addScalarBar()

show(pts, graph, labs1, labs2, __doc__, axes=9)
예제 #6
0
               sin(state[2]) * cosa + M2 * L2 * state[3] * state[3] * sina -
               (M1 + M2) * G * sin(state[0])) / den1
    dydx[2] = state[3]
    den2 = (L2 / L1) * den1
    dydx[3] = (-M2 * L2 * state[3] * state[3] * sina * cosa +
               (M1 + M2) * G * sin(state[0]) * cosa -
               (M1 + M2) * L1 * state[1] * state[1] * sina -
               (M1 + M2) * G * sin(state[2])) / den2
    return dydx


t = np.arange(0.0, 10.0, dt)
state = np.radians([th1, w1, th2, w2])
y = integrate.odeint(derivs, state, t)

P1 = np.dstack([L1 * sin(y[:, 0]), -L1 * cos(y[:, 0])]).squeeze()
P2 = P1 + np.dstack([L2 * sin(y[:, 2]), -L2 * cos(y[:, 2])]).squeeze()

ax = Axes(xrange=(-2, 2), yrange=(-2, 1), htitle=__doc__)
pb = ProgressBar(0, len(t), c="b")
for i in pb.range():
    j = max(i - 5, 0)
    k = max(i - 10, 0)
    l1 = Line([[0, 0], P1[i], P2[i]]).lw(7).c("blue2")
    l2 = Line([[0, 0], P1[j], P2[j]]).lw(6).c("blue2", 0.3)
    l3 = Line([[0, 0], P1[k], P2[k]]).lw(5).c("blue2", 0.1)
    pt = Points([P1[i], P2[i], P1[j], P2[j], P1[k], P2[k]],
                r=8).c("blue2", 0.2)
    show(l1, l2, l3, pt, ax, interactive=False, size=(900, 700), zoom=1.4)
    pb.print()