从这个问题的答案中可以看出问题可以引入一个条件来屏蔽 价值观。问题“我不希望griddata在外部插入”中的句子 “由x和y数据的最小值和最大值给出的边界。”_意味着存在一些可以使用的最小/最大条件。 如果不是这样，可以使用路径剪裁轮廓。要点需要指定此路径的路径名，因为没有通用的方法知道是哪个路径点应该是边。下面的代码为三个不同的可能的路径。
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.patches import PathPatch
from matplotlib.mlab import griddata
import numpy as np
import pandas as pd
df = pd.DataFrame({'x':[0, 0, 1, 1, 3, 3, 3, 4, 4, 4],
'y':[0, 1, 0, 1, 0.2, 0.7, 1.4, 0.2, 1.4, 2],
'z':[50, 40, 40, 30, 30, 30, 20, 20, 20, 10]})
x = df['x']
y = df['y']
z = df['z']
xi = np.linspace(x.min(), x.max(), 100)
yi = np.linspace(y.min(), y.max(), 100)
z_grid = griddata(x, y, z, xi, yi, interp='linear')
clipindex = [ [0,2,4,7,8,9,6,3,1,0],
[0,2,4,7,5,8,9,6,3,1,0],
[0,2,4,7,8,9,6,5,3,1,0]]
fig, axes = plt.subplots(ncols=3, sharey=True)
for i, ax in enumerate(axes):
cont = ax.contourf(xi, yi, z_grid, 15)
ax.scatter(x, y, color='k') # The original data points
ax.plot(x[clipindex[i]], y[clipindex[i]], color="crimson")
clippath = Path(np.c_[x[clipindex[i]], y[clipindex[i]]])
patch = PathPatch(clippath, facecolor='none')
ax.add_patch(patch)
for c in cont.collections:
c.set_clip_path(patch)
plt.show()
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