matplotlib & pandas

Python/matplotlab/gallery/misc/agg_buffer.md

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+# Agg缓冲区
+
+使用后端AGG以RGB字符串的形式访问地物画布，然后将其转换为数组并将其传递给Pillow进行渲染。
+
+![Agg缓冲区](https://matplotlib.org/_images/sphx_glr_agg_buffer_001.png)
+
+```python
+import numpy as np
+
+from matplotlib.backends.backend_agg import FigureCanvasAgg
+import matplotlib.pyplot as plt
+
+plt.plot([1, 2, 3])
+
+canvas = plt.get_current_fig_manager().canvas
+
+agg = canvas.switch_backends(FigureCanvasAgg)
+agg.draw()
+s, (width, height) = agg.print_to_buffer()
+
+# Convert to a NumPy array.
+X = np.fromstring(s, np.uint8).reshape((height, width, 4))
+
+# Pass off to PIL.
+from PIL import Image
+im = Image.frombytes("RGBA", (width, height), s)
+
+# Uncomment this line to display the image using ImageMagick's `display` tool.
+# im.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: agg_buffer.py](https://matplotlib.org/_downloads/agg_buffer.py)
+- [下载Jupyter notebook: agg_buffer.ipynb](https://matplotlib.org/_downloads/agg_buffer.ipynb)