注意
移至末尾以下載完整的範例程式碼。
將資料裁剪到軸視圖限制#
示範將線條和標記資料裁剪到軸視圖限制。axlim_clip
關鍵字引數可用於任何 3D 繪圖函式。
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
# Make the data
x = np.arange(-5, 5, 0.5)
y = np.arange(-5, 5, 0.5)
X, Y = np.meshgrid(x, y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
# Default behavior is axlim_clip=False
ax.plot_wireframe(X, Y, Z, color='C0')
# When axlim_clip=True, note that when a line segment has one vertex outside
# the view limits, the entire line is hidden. The same is true for 3D patches
# if one of their vertices is outside the limits (not shown).
ax.plot_wireframe(X, Y, Z, color='C1', axlim_clip=True)
# In this example, data where x < 0 or z > 0.5 is clipped
ax.set(xlim=(0, 10), ylim=(-5, 5), zlim=(-1, 0.5))
ax.legend(['axlim_clip=False (default)', 'axlim_clip=True'])
plt.show()
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腳本總執行時間:(0 分鐘 1.373 秒)