def run():
#--------------------------------------------------------------------------------------------------
from animate import launch
syst = Pendulum(1,9.81)
animate=dict(
repeat=False,
interval=40,
)
launch(syst,animate,
srate=25.,
taild=1.,
ini=syst.makestate(179.),
)
def run():
#--------------------------------------------------------------------------------------------------
from animate import launch
syst = DoublePendulum(1.,.5,4.,1.,9.81)
animate=dict(
repeat=False,
interval=40,
)
launch(syst,animate,
srate=25.,
taild=1.,
ini=syst.makestate(theta1=180.,theta2=1.),
)
def run():
#--------------------------------------------------------------------------------------------------
from animate import launch
syst = RandomWalk(
stepg=bvn(vx=3.1,vy=2.8,cor=.5),
N=400,
)
animate=dict(
repeat=False,
interval=50,
)
def axes(fig):
fig.set_size_inches((8,12),forward=True)
return fig.add_subplot(2,1,1),fig.add_subplot(2,1,2)
launch(syst,animate,axes=axes)
def run():
#--------------------------------------------------------------------------------------------------
from animate import launch
syst = Kmeans(
data=mixture(
N=1000,
weights=array((.2,.4,.4)),
comp=(
bvn(10.,0.,5.,3.,.2),
bvn(0.,0.,6.,7.,.5),
bvn(0.,10.,3.,8.,.7),
),
),
K=5,
)
animate=dict(
repeat=False,
interval=300,
)
launch(syst,animate)
def run():
#--------------------------------------------------------------------------------------------------
from animate import launch
syst = GP(
datagen(
func=0,
nsample=1000,
),
regr='quadratic',
corr='squared_exponential',
theta0=1.,
thetaL_r=.001,
thetaU_r=100.,
nugget=.01,
random_start=3
)
launch(syst,animate={},
logscale=False,
nsample=100,
clevel=.95,
gpmean=False,
)
