如何在网格外绘制时保持 matplotlib 网格受限？

Question

我正在尝试在 matplotlib 中绘制以下图像：

我暂时不关心红点或黄圈。我要做的就是用半圆绘制网格。一个关键点是我希望轮廓像图片中那样显示。目前，我的代码是这样的：

import matplotlib.pyplot as plt
    
N = 5
colors = [(111,187,255),(185,239,133)] # Blue and green
plaquettecolors = ["#b9ef85ff", "#6fbbffe5"] # Green and blue
rowcolor = colors*((N-1)//2)
fig, ax = plt.subplots()


# Build the matrix for the colours
bulkcolors = []
for y in range(N-1):
    bulkcolors.extend(rowcolor[::(-1)**y])
    greenCircle = plt.Circle(
        (y,-0.5 + (1+(-1)**(y+1))*(N-1)/2),
        0.5,
        color=plaquettecolors[0],
        fill=True,
        ec="black",
        lw = 2,
        zorder=0
        )
    blueCircle = plt.Circle(
        (-0.5 + (1+(-1)**y)*(N-1)/2,y),
        0.5,
        color=plaquettecolors[1],
        fill=True,
        ec = "black",
        lw = 2,
        zorder=0)
    ax.add_patch(greenCircle)
    ax.add_patch(blueCircle)

# Reshape things.
bulkcolors = np.array(bulkcolors)
bulkcolors = bulkcolors.reshape((N-1, N-1,-1))

#ax.axis("off")
ax.matshow(bulkcolors)
plt.xticks(range(-1,N))
plt.yticks(range(-1,N))
ax.grid(which='major', axis='both', linestyle='-', color='k', linewidth=2)
ax.set_xticks(np.arange(-0.5, N-1, 1))
ax.set_yticks(np.arange(-0.5, N-1, 1))
ax.tick_params(which="major", bottom=False, left=False)
plt.show()

问题是我得到以下信息：

我所希望的是一种删除棋盘图案外的网格线以及数字的方法。任何使这项工作正常进行的提示都将不胜感激！

Answer 1

隐藏网格线并改为绘制 horizontal and vertical 线：

ax.axis("off")
ax.matshow(bulkcolors)
plt.xlim(-1.1, N-.9)
plt.ylim(-1.1, N-.9)
for i in np.arange(-.5, N-1, 1):
    plt.hlines(i, -.5, N-1.5, lw=2, color='k')
    plt.vlines(i, -.5, N-1.5, lw=2, color='k')

如何在网格外绘制时保持 matplotlib 网格受限？

How to keep matplotlib grid constrained while drawing outside of the grid?

drawing

matplotlib