matplotlib & pandas

Python/matplotlab/gallery/style_sheets/ggplot.md

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+# ggplot样式表
+
+此示例演示了“ggplot”样式，该样式调整样式以模拟[ggplot](http://ggplot2.org/)（[R](https://www.r-project.org/)的流行绘图包）。
+
+这些设置被无耻地从[[1]](https://matplotlib.org/gallery/style_sheets/ggplot.html#id2)窃取(经允许)。
+
+[[1]](https://matplotlib.org/gallery/style_sheets/ggplot.html#id1) https://web.archive.org/web/20111215111010/http://www.huyng.com/archives/sane-color-scheme-for-matplotlib/691/
+
+![ggplot样式表示例](https://matplotlib.org/_images/sphx_glr_ggplot_001.png)
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+plt.style.use('ggplot')
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, axes = plt.subplots(ncols=2, nrows=2)
+ax1, ax2, ax3, ax4 = axes.ravel()
+
+# scatter plot (Note: `plt.scatter` doesn't use default colors)
+x, y = np.random.normal(size=(2, 200))
+ax1.plot(x, y, 'o')
+
+# sinusoidal lines with colors from default color cycle
+L = 2*np.pi
+x = np.linspace(0, L)
+ncolors = len(plt.rcParams['axes.prop_cycle'])
+shift = np.linspace(0, L, ncolors, endpoint=False)
+for s in shift:
+    ax2.plot(x, np.sin(x + s), '-')
+ax2.margins(0)
+
+# bar graphs
+x = np.arange(5)
+y1, y2 = np.random.randint(1, 25, size=(2, 5))
+width = 0.25
+ax3.bar(x, y1, width)
+ax3.bar(x + width, y2, width,
+        color=list(plt.rcParams['axes.prop_cycle'])[2]['color'])
+ax3.set_xticks(x + width)
+ax3.set_xticklabels(['a', 'b', 'c', 'd', 'e'])
+
+# circles with colors from default color cycle
+for i, color in enumerate(plt.rcParams['axes.prop_cycle']):
+    xy = np.random.normal(size=2)
+    ax4.add_patch(plt.Circle(xy, radius=0.3, color=color['color']))
+ax4.axis('equal')
+ax4.margins(0)
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: ggplot.py](https://matplotlib.org/_downloads/ggplot.py)
+- [下载Jupyter notebook: ggplot.ipynb](https://matplotlib.org/_downloads/ggplot.ipynb)