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 pltfrom matplotlib.path import Pathfrom matplotlib.patches import PathPatchfrom matplotlib.mlab import griddataimport numpy as npimport pandas as pddf = 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()
