Region¶
In [1]:
import k3d
import matplotlib.pyplot as plt
import discretisedfield as df
p1 = (-10e-9, -5e-9, -2e-9)
p2 = (10e-9, 5e-9, -2e-9)
# region = df.Region(p1=p1, p2=p2)
In [2]:
p1 = (-10e-9, -5e-9, -2e-9)
p2 = (10e-9, 5e-9, 2e-9)
region = df.Region(p1=p1, p2=p2)
In [3]:
region.pmin
Out[3]:
(-1e-08, -5e-09, -2e-09)
In [4]:
region.pmax
Out[4]:
(1e-08, 5e-09, 2e-09)
In [5]:
region.edges
Out[5]:
(2e-08, 1e-08, 4e-09)
In [6]:
region.centre
Out[6]:
(0.0, 0.0, 0.0)
In [7]:
region.volume
Out[7]:
8.000000000000001e-25
In [8]:
region.random_point()
Out[8]:
(6.4678781719693765e-09, 5.479942032693809e-10, -5.080028830467005e-10)
In [9]:
repr(region)
Out[9]:
'Region(p1=(-1e-08, -5e-09, -2e-09), p2=(1e-08, 5e-09, 2e-09))'
In [10]:
region == region
Out[10]:
True
In [11]:
region != region
Out[11]:
False
In [12]:
region == 5
Out[12]:
False
In [13]:
region != 5
Out[13]:
True
In [14]:
(0, 0, 0) in region
Out[14]:
True
In [15]:
region.pmin in region
Out[15]:
True
In [16]:
region.mpl()
In [17]:
fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
region.mpl(ax=ax)
ax.set_xlabel("A")
Out[17]:
Text(0.5, 0, 'A')
In [18]:
region.mpl(figsize=(5, 5))
In [19]:
region.mpl(figsize=(5, 5), color="#00ff00")
In [20]:
region.mpl(figsize=(6, 5), color="#00ff00", multiplier=1e-6)
In [21]:
region.mpl(figsize=(6, 5), color="#00ff00", multiplier=1e-6, linewidth=5)
In [22]:
region.mpl(
figsize=(6, 6),
color="#00ff00",
multiplier=1e-6,
linewidth=5,
linestyle="dashed",
filename="region.pdf",
)
In [23]:
region.k3d()
Output()
In [24]:
region.k3d(color=756659)
Output()
In [25]:
region.k3d(color=756659, multiplier=1e-12)
Output()
screenshot vs snapshot, other commands
In [26]:
region.k3d(color=756659, multiplier=1e-12, wireframe=True)
Output()
In [27]:
plot = k3d.plot()
plot.display()
region.k3d(plot=plot)
Output()
In [28]:
plot.axes = ["A", "B", "C"]