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46 lines
1.3 KiB
Markdown
46 lines
1.3 KiB
Markdown
# Hexbin 演示
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使用Matplotlib绘制hexbins。
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Hexbin是一种轴方法或pyplot函数，它基本上是具有六边形单元的二维直方图的pcolor。 它可以比散点图更具信息性。 在下面的第一个图中，尝试用'scatter'代替'hexbin'。
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```python
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import numpy as np
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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n = 100000
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x = np.random.standard_normal(n)
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y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
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xmin = x.min()
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xmax = x.max()
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ymin = y.min()
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ymax = y.max()
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fig, axs = plt.subplots(ncols=2, sharey=True, figsize=(7, 4))
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fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)
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ax = axs[0]
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hb = ax.hexbin(x, y, gridsize=50, cmap='inferno')
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ax.axis([xmin, xmax, ymin, ymax])
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ax.set_title("Hexagon binning")
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cb = fig.colorbar(hb, ax=ax)
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cb.set_label('counts')
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ax = axs[1]
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hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='inferno')
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ax.axis([xmin, xmax, ymin, ymax])
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ax.set_title("With a log color scale")
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cb = fig.colorbar(hb, ax=ax)
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cb.set_label('log10(N)')
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plt.show()
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```
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## 下载这个示例
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- [下载python源码: hexbin_demo.py](https://matplotlib.org/_downloads/hexbin_demo.py)
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- [下载Jupyter notebook: hexbin_demo.ipynb](https://matplotlib.org/_downloads/hexbin_demo.ipynb) |