您可以循环遍历各行,找到最小值的索引,然后在其中绘制一个矩形。环境clip_on=False
防止矩形被边框剪切。
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
Pe = np.random.rand(5, 5)
fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(10, 4))
sns.set_style('white')
sns.heatmap(Pe, linewidth=0.5, annot=True, ax=ax1)
for ind, row in enumerate(Pe):
min_col = np.argmin(row)
ax1.add_patch(plt.Rectangle((min_col, ind), 1, 1, fc='none', ec='skyblue', lw=5, clip_on=False))
sns.heatmap(Pe, mask=Pe != Pe.min(axis=1, keepdims=True), annot=True, lw=2, linecolor='black', clip_on=False,
cmap=ListedColormap(['skyblue']), cbar=False, ax=ax2)
plt.tight_layout()
plt.show()
PS:要制作动画,赛璐珞库 https://github.com/jwkvam/celluloid是一个轻量级的选项:
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import seaborn as sns
import numpy as np
from celluloid import Camera
Pe = np.random.rand(5, 5)
fig, ax1 = plt.subplots()
camera = Camera(fig)
sns.set_style('white')
row_array = np.arange(Pe.shape[0]).reshape(-1, 1)
for row in range(Pe.shape[0]):
sns.heatmap(Pe, mask=(Pe != Pe.min(axis=1, keepdims=True)) | (row < row_array),
annot=True, lw=2, linecolor='black', clip_on=False,
cmap=ListedColormap(['skyblue']), cbar=False, ax=ax1)
camera.snap()
animation = camera.animate(interval=800)
animation.save('animation.gif')
plt.show()
对于更复杂的动画,matplotlib动画API https://matplotlib.org/stable/api/animation_api.html可以考虑。