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50 lines
1.6 KiB
Markdown
50 lines
1.6 KiB
Markdown
# 使用多个数据集演示直方图(hist)函数
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绘制具有多个样本集的直方图并演示：
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- 使用带有多个样本集的图例
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- 堆积图
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- 没有填充的步进曲线
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- 不同样本量的数据集
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选择不同的存储量和大小会显著影响直方图的形状。Astropy文档有很多关于如何选择这些参数的部分: http://docs.astropy.org/en/stable/visualization/histogram.html
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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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np.random.seed(19680801)
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n_bins = 10
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x = np.random.randn(1000, 3)
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fig, axes = plt.subplots(nrows=2, ncols=2)
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ax0, ax1, ax2, ax3 = axes.flatten()
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colors = ['red', 'tan', 'lime']
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ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors)
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ax0.legend(prop={'size': 10})
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ax0.set_title('bars with legend')
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ax1.hist(x, n_bins, density=True, histtype='bar', stacked=True)
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ax1.set_title('stacked bar')
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ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False)
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ax2.set_title('stack step (unfilled)')
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# Make a multiple-histogram of data-sets with different length.
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x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
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ax3.hist(x_multi, n_bins, histtype='bar')
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ax3.set_title('different sample sizes')
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fig.tight_layout()
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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: histogram_multihist.py](https://matplotlib.org/_downloads/histogram_multihist.py)
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- [下载Jupyter notebook: histogram_multihist.ipynb](https://matplotlib.org/_downloads/histogram_multihist.ipynb) |