k3d field¶

In [1]:

import k3d
import matplotlib.pyplot as plt

import discretisedfield as df

p1 = (-10e-9, -10e-9, -20e-9)
p2 = (10e-9, 10e-9, 20e-9)
cell = (2e-9, 2e-9, 2e-9)

region = df.Region(p1=p1, p2=p2)
mesh = df.Mesh(region, cell=cell)


def norm_fun(point):
    x, y, z = point

    if x**2 + y**2 < (10e-9**2):
        return 1e6
    else:
        return 0


def value_fun(point):
    x, y, z = point
    c = 1e9
    return (c * x, c * y, c * z)


field = df.Field(mesh, dim=3, value=value_fun, norm=norm_fun)

In [2]:

# field.norm.plane('z').k3d_nonzero()

In [3]:

# plot = k3d.plot()

# @df.interact(z=mesh.slider('z'))
# def myplot(z):
#     field.norm.plane(z=z).k3d_nonzero(plot=plot, interactive_field=field)

# plot.display()

In [4]:

field.x.plane("y").k3d_scalar()

Output()

In [5]:

# field.x.plane('z').mpl()

In [6]:

# plot = k3d.plot()

# @df.interact(z=mesh.slider('z'))
# def myplot(z):
#     field.x.plane(z=z).k3d_scalar(plot=plot, filter_field=field.norm, interactive_field=field)

# plot.display()

In [7]:

# field.plane('z').k3d_vector()

In [8]:

# plot = k3d.plot()

# @df.interact(z=mesh.slider('z'))
# def myplot(z):
#     field.plane(z=z).k3d_vector(plot=plot, color_field=field.x, cmap='hsv', interactive_field=field)

# plot.display()

In [ ]: