matplotlib & pandas

Python/matplotlab/gallery/mplot3d/voxels_numpy_logo.md

@@ -0,0 +1,55 @@
+# 三维体素绘制Numpy的Logo
+
+演示使用坐标不均匀的ax.voxels
+
+![三维体素绘制Numpy的Logo示例](https://matplotlib.org/_images/sphx_glr_voxels_numpy_logo_001.png)
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+# This import registers the 3D projection, but is otherwise unused.
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
+
+
+def explode(data):
+    size = np.array(data.shape)*2
+    data_e = np.zeros(size - 1, dtype=data.dtype)
+    data_e[::2, ::2, ::2] = data
+    return data_e
+
+# build up the numpy logo
+n_voxels = np.zeros((4, 3, 4), dtype=bool)
+n_voxels[0, 0, :] = True
+n_voxels[-1, 0, :] = True
+n_voxels[1, 0, 2] = True
+n_voxels[2, 0, 1] = True
+facecolors = np.where(n_voxels, '#FFD65DC0', '#7A88CCC0')
+edgecolors = np.where(n_voxels, '#BFAB6E', '#7D84A6')
+filled = np.ones(n_voxels.shape)
+
+# upscale the above voxel image, leaving gaps
+filled_2 = explode(filled)
+fcolors_2 = explode(facecolors)
+ecolors_2 = explode(edgecolors)
+
+# Shrink the gaps
+x, y, z = np.indices(np.array(filled_2.shape) + 1).astype(float) // 2
+x[0::2, :, :] += 0.05
+y[:, 0::2, :] += 0.05
+z[:, :, 0::2] += 0.05
+x[1::2, :, :] += 0.95
+y[:, 1::2, :] += 0.95
+z[:, :, 1::2] += 0.95
+
+fig = plt.figure()
+ax = fig.gca(projection='3d')
+ax.voxels(x, y, z, filled_2, facecolors=fcolors_2, edgecolors=ecolors_2)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: voxels_numpy_logo.py](https://matplotlib.org/_downloads/voxels_numpy_logo.py)
+- [下载Jupyter notebook: voxels_numpy_logo.ipynb](https://matplotlib.org/_downloads/voxels_numpy_logo.ipynb)