Пример #1
0

# 6. plotting a travelling soliton
print "creating video"
figures = []
xsmin, xsmax = Xs.min(), Xs.max()

# it turns out python can't accomodate a list bigger than 3000
if Ncycle < 1000:
    for i in range(Ncycle):
        fig = figure()
        ylim(xsmin, xsmax)
        plot(Xs[i])
        print "video %d" %i
        figures.append(fig)
    createvideo(figures,prefix=0, outputdir=dirname)
else:
    #we need to parallelize the loop, or else it will be too slow
    #http://stackoverflow.com/questions/6652124/naive-and-easiest-way-to-decompose-independent-loop-into-parallel-threads-proces
    cycles = split(arange(Ncycle), Ncycle / 1000)
    import time
    import tempfile
    directory = tempfile.mkdtemp()
    from multiprocessing import Pool

    def f(c):
        for i in c:
            figure()
            ylim(xsmin, xsmax)
            plot(Xs[i])
            print "video %d" %i
Пример #2
0
dt = sqrt(.125)
Time = linspace(0, Ncycle * dt, num=Ncycle)
Cycles = Time * 2 * sin(pi / N / 2)
alpha = 2.25
beta = 8


def evolve(X, t=0):
    D = centralderivative(dx, N)
    v = -alpha * dot(D, X) - 1. / 24 * dot(D * D * D, X)
    return v


# the meat of the code is in this very single line
Xs = odeint(evolve, Xs[0], Time)



figures = []
xsmin, xsmax = Xs.min(), Xs.max()

# it turns out python can't accomodate a list bigger than 3000
for i in range(Ncycle):
    fig = figure()
    ylim(xsmin, xsmax)
    plot(Xs[i])
    print "video %d" %i
    figures.append(fig)
createvideo(figures,prefix=0)

Пример #3
0
savefig(dirname + "/normalmodes.png")

# 6. plotting a travelling soliton
print "creating video"
figures = []
xsmin, xsmax = Xs.min(), Xs.max()

# it turns out python can't accomodate a list bigger than 3000
if Ncycle < 1000:
    for i in range(Ncycle):
        fig = figure()
        ylim(xsmin, xsmax)
        plot(Xs[i])
        print "video %d" % i
        figures.append(fig)
    createvideo(figures, prefix=0, outputdir=dirname)
else:
    #we need to parallelize the loop, or else it will be too slow
    #http://stackoverflow.com/questions/6652124/naive-and-easiest-way-to-decompose-independent-loop-into-parallel-threads-proces
    cycles = split(arange(Ncycle), Ncycle / 1000)
    import time
    import tempfile
    directory = tempfile.mkdtemp()
    from multiprocessing import Pool

    def f(c):
        for i in c:
            figure()
            ylim(xsmin, xsmax)
            plot(Xs[i])
            print "video %d" % i