python - 如何在Matplotlib中绘制二维结构化网格

Question

我正在尝试使用matplotlib绘制结构化网格(请参见下图)

import numpy as np
import matplotlib.pyplot as plt

x, y = np.meshgrid(np.linspace(0,1, 11), np.linspace(0, 0.6, 7))

plt.scatter(x, y)
plt.show()

我有一个离散的点，但是我不知道如何连接它们以获得类似的信息:

理想的结果是:

感谢您的帮助

Answer 1

我会为此使用两个 linecollections:

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

x, y = np.meshgrid(np.linspace(0,1, 11), np.linspace(0, 0.6, 7))

plt.scatter(x, y)

segs1 = np.stack((x,y), axis=2)
segs2 = segs1.transpose(1,0,2)
plt.gca().add_collection(LineCollection(segs1))
plt.gca().add_collection(LineCollection(segs2))
plt.show()

另见 How to plot using matplotlib (python) colah's deformed grid?

因为如果网格不变形，绘制单个 linecollection 会更有效，例如

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

x, y = np.meshgrid(np.linspace(0,1, 11), np.linspace(0, 0.6, 7))

segs1 = np.stack((x[:,[0,-1]],y[:,[0,-1]]), axis=2)
segs2 = np.stack((x[[0,-1],:].T,y[[0,-1],:].T), axis=2)

plt.gca().add_collection(LineCollection(np.concatenate((segs1, segs2))))
plt.autoscale()
plt.show()