matplotlib & pandas

Python/matplotlab/gallery/pyplots/align_ylabels.md

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+# 对齐y标签
+
+这里显示了两种方法，一种是使用对 [Figure.align_ylabels](https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.align_ylabels) 的简短调用，另一种是使用手动方式来对齐标签。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def make_plot(axs):
+    box = dict(facecolor='yellow', pad=5, alpha=0.2)
+
+    # Fixing random state for reproducibility
+    np.random.seed(19680801)
+    ax1 = axs[0, 0]
+    ax1.plot(2000*np.random.rand(10))
+    ax1.set_title('ylabels not aligned')
+    ax1.set_ylabel('misaligned 1', bbox=box)
+    ax1.set_ylim(0, 2000)
+
+    ax3 = axs[1, 0]
+    ax3.set_ylabel('misaligned 2', bbox=box)
+    ax3.plot(np.random.rand(10))
+
+    ax2 = axs[0, 1]
+    ax2.set_title('ylabels aligned')
+    ax2.plot(2000*np.random.rand(10))
+    ax2.set_ylabel('aligned 1', bbox=box)
+    ax2.set_ylim(0, 2000)
+
+    ax4 = axs[1, 1]
+    ax4.plot(np.random.rand(10))
+    ax4.set_ylabel('aligned 2', bbox=box)
+
+
+# Plot 1:
+fig, axs = plt.subplots(2, 2)
+fig.subplots_adjust(left=0.2, wspace=0.6)
+make_plot(axs)
+
+# just align the last column of axes:
+fig.align_ylabels(axs[:, 1])
+plt.show()
+```
+
+![对齐y标签示例](https://matplotlib.org/_images/sphx_glr_align_ylabels_0011.png)
+
+> 另见 Figure.align_ylabels and Figure.align_labels for a direct method of doing the same thing. Also Aligning Labels
+
+或者，我们可以使用y轴对象的set_label_coords方法手动在子图之间手动对齐轴标签。请注意，这需要我们知道硬编码的良好偏移值。
+
+```python
+fig, axs = plt.subplots(2, 2)
+fig.subplots_adjust(left=0.2, wspace=0.6)
+
+make_plot(axs)
+
+labelx = -0.3  # axes coords
+
+for j in range(2):
+    axs[j, 1].yaxis.set_label_coords(labelx, 0.5)
+
+plt.show()
+```
+
+![对齐y标签示例2](https://matplotlib.org/_images/sphx_glr_align_ylabels_002.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.figure.Figure.align_ylabels
+matplotlib.axis.Axis.set_label_coords
+matplotlib.axes.Axes.plot
+matplotlib.pyplot.plot
+matplotlib.axes.Axes.set_title
+matplotlib.axes.Axes.set_ylabel
+matplotlib.axes.Axes.set_ylim
+```
+
+## 下载这个示例
+            
+- [下载python源码: align_ylabels.py](https://matplotlib.org/_downloads/align_ylabels.py)
+- [下载Jupyter notebook: align_ylabels.ipynb](https://matplotlib.org/_downloads/align_ylabels.ipynb)

Python/matplotlab/gallery/pyplots/annotate_transform.md

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+# 注释变换
+
+此示例显示如何使用不同的坐标系进行注释。 有关注释功能的完整概述，另请参阅[注释教程](https://matplotlib.org/tutorials/text/annotations.html)。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+x = np.arange(0, 10, 0.005)
+y = np.exp(-x/2.) * np.sin(2*np.pi*x)
+
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_xlim(0, 10)
+ax.set_ylim(-1, 1)
+
+xdata, ydata = 5, 0
+xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))
+
+bbox = dict(boxstyle="round", fc="0.8")
+arrowprops = dict(
+    arrowstyle = "->",
+    connectionstyle = "angle,angleA=0,angleB=90,rad=10")
+
+offset = 72
+ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),
+            (xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
+            bbox=bbox, arrowprops=arrowprops)
+
+
+disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),
+            (xdisplay, ydisplay), xytext=(0.5*offset, -offset),
+            xycoords='figure pixels',
+            textcoords='offset points',
+            bbox=bbox, arrowprops=arrowprops)
+
+
+plt.show()
+```
+
+![注释变换示例](https://matplotlib.org/_images/sphx_glr_annotate_transform_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.transforms.Transform.transform_point
+matplotlib.axes.Axes.annotate
+matplotlib.pyplot.annotate
+```
+
+## 下载这个示例
+            
+- [下载python源码: annotate_transform.py](https://matplotlib.org/_downloads/annotate_transform.py)
+- [下载Jupyter notebook: annotate_transform.ipynb](https://matplotlib.org/_downloads/annotate_transform.ipynb)

Python/matplotlab/gallery/pyplots/annotation_basic.md

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+# 注释一个图像
+
+此示例显示如何使用指向提供的坐标的箭头注释绘图。我们修改箭头的默认值，以“缩小”它。
+
+有关注释功能的完整概述，另请参阅[注释教程](https://matplotlib.org/tutorials/text/annotations.html)。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots()
+
+t = np.arange(0.0, 5.0, 0.01)
+s = np.cos(2*np.pi*t)
+line, = ax.plot(t, s, lw=2)
+
+ax.annotate('local max', xy=(2, 1), xytext=(3, 1.5),
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            )
+ax.set_ylim(-2, 2)
+plt.show()
+```
+
+![注释图像示例](https://matplotlib.org/_images/sphx_glr_annotation_basic_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.annotate
+matplotlib.pyplot.annotate
+```
+
+## 下载这个示例
+            
+- [下载python源码: annotation_basic.py](https://matplotlib.org/_downloads/annotation_basic.py)
+- [下载Jupyter notebook: annotation_basic.ipynb](https://matplotlib.org/_downloads/annotation_basic.ipynb)

Python/matplotlab/gallery/pyplots/annotation_polar.md

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+# 注释极坐标
+
+此示例显示如何在极坐标图上创建注释。
+
+有关注释功能的完整概述，另请参阅[注释教程](https://matplotlib.org/tutorials/text/annotations.html)。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+ax = fig.add_subplot(111, polar=True)
+r = np.arange(0,1,0.001)
+theta = 2 * 2*np.pi * r
+line, = ax.plot(theta, r, color='#ee8d18', lw=3)
+
+ind = 800
+thisr, thistheta = r[ind], theta[ind]
+ax.plot([thistheta], [thisr], 'o')
+ax.annotate('a polar annotation',
+            xy=(thistheta, thisr),  # theta, radius
+            xytext=(0.05, 0.05),    # fraction, fraction
+            textcoords='figure fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='left',
+            verticalalignment='bottom',
+            )
+plt.show()
+```
+
+![注释极坐标](https://matplotlib.org/_images/sphx_glr_annotation_polar_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.projections.polar
+matplotlib.axes.Axes.annotate
+matplotlib.pyplot.annotate
+```
+
+## 下载这个示例
+            
+- [下载python源码: annotation_polar.py](https://matplotlib.org/_downloads/annotation_polar.py)
+- [下载Jupyter notebook: annotation_polar.ipynb](https://matplotlib.org/_downloads/annotation_polar.ipynb)

Python/matplotlab/gallery/pyplots/auto_subplots_adjust.md

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+# 自动调整子图
+
+自动调整子图参数。 此示例显示了一种使用[draw_event](https://matplotlib.org/users/event_handling.html)上的回调从ticklabels范围确定subplot参数的方法。
+
+请注意，使用[tight_layout](https://matplotlib.org/api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.tight_layout)或 ``constrained_layout`` 可以实现类似的结果; 此示例显示了如何自定义子图参数调整。
+
+```python
+import matplotlib.pyplot as plt
+import matplotlib.transforms as mtransforms
+fig, ax = plt.subplots()
+ax.plot(range(10))
+ax.set_yticks((2,5,7))
+labels = ax.set_yticklabels(('really, really, really', 'long', 'labels'))
+
+def on_draw(event):
+   bboxes = []
+   for label in labels:
+       bbox = label.get_window_extent()
+       # the figure transform goes from relative coords->pixels and we
+       # want the inverse of that
+       bboxi = bbox.inverse_transformed(fig.transFigure)
+       bboxes.append(bboxi)
+
+   # this is the bbox that bounds all the bboxes, again in relative
+   # figure coords
+   bbox = mtransforms.Bbox.union(bboxes)
+   if fig.subplotpars.left < bbox.width:
+       # we need to move it over
+       fig.subplots_adjust(left=1.1*bbox.width) # pad a little
+       fig.canvas.draw()
+   return False
+
+fig.canvas.mpl_connect('draw_event', on_draw)
+
+plt.show()
+```
+
+![自动调整子图](https://matplotlib.org/_images/sphx_glr_auto_subplots_adjust_0011.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.artist.Artist.get_window_extent
+matplotlib.transforms.Bbox
+matplotlib.transforms.Bbox.inverse_transformed
+matplotlib.transforms.Bbox.union
+matplotlib.figure.Figure.subplots_adjust
+matplotlib.figure.SubplotParams
+matplotlib.backend_bases.FigureCanvasBase.mpl_connect
+```
+
+## 下载这个示例
+            
+- [下载python源码: auto_subplots_adjust.py](https://matplotlib.org/_downloads/auto_subplots_adjust.py)
+- [下载Jupyter notebook: auto_subplots_adjust.ipynb](https://matplotlib.org/_downloads/auto_subplots_adjust.ipynb)

Python/matplotlab/gallery/pyplots/boxplot_demo_pyplot.md

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+# Boxplot 演示
+
+boxplot 的代码示例。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# fake up some data
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 50
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+data = np.concatenate((spread, center, flier_high, flier_low))
+```
+
+```python
+fig1, ax1 = plt.subplots()
+ax1.set_title('Basic Plot')
+ax1.boxplot(data)
+```
+
+![Boxplot示例](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_001.png)
+
+```python
+fig2, ax2 = plt.subplots()
+ax2.set_title('Notched boxes')
+ax2.boxplot(data, notch=True)
+```
+
+![Boxplot示例2](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_002.png)
+
+```python
+green_diamond = dict(markerfacecolor='g', marker='D')
+fig3, ax3 = plt.subplots()
+ax3.set_title('Changed Outlier Symbols')
+ax3.boxplot(data, flierprops=green_diamond)
+```
+
+![Boxplot示例3](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_003.png)
+
+```python
+fig4, ax4 = plt.subplots()
+ax4.set_title('Hide Outlier Points')
+ax4.boxplot(data, showfliers=False)
+```
+
+![Boxplot示例4](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_004.png)
+
+```python
+red_square = dict(markerfacecolor='r', marker='s')
+fig5, ax5 = plt.subplots()
+ax5.set_title('Horizontal Boxes')
+ax5.boxplot(data, vert=False, flierprops=red_square)
+```
+
+![Boxplot示例5](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_005.png)
+
+```python
+fig6, ax6 = plt.subplots()
+ax6.set_title('Shorter Whisker Length')
+ax6.boxplot(data, flierprops=red_square, vert=False, whis=0.75)
+```
+
+![Boxplot示例6](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_006.png)
+
+模拟一些更多的数据。
+
+```python
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 40
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+d2 = np.concatenate((spread, center, flier_high, flier_low))
+data.shape = (-1, 1)
+d2.shape = (-1, 1)
+```
+
+仅当所有列的长度相同时，才能生成二维数组。 如果不是，则使用列表。 这实际上更有效，因为boxplot无论如何都会在内部将2-D数组转换为向量列表。
+
+```python
+data = [data, d2, d2[::2,0]]
+fig7, ax7 = plt.subplots()
+ax7.set_title('Multiple Samples with Different sizes')
+ax7.boxplot(data)
+
+plt.show()
+```
+
+![Boxplot示例7](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_007.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.boxplot
+matplotlib.pyplot.boxplot
+```
+
+## 下载这个示例
+            
+- [下载python源码: boxplot_demo_pyplot.py](https://matplotlib.org/_downloads/boxplot_demo_pyplot.py)
+- [下载Jupyter notebook: boxplot_demo_pyplot.ipynb](https://matplotlib.org/_downloads/boxplot_demo_pyplot.ipynb)

Python/matplotlab/gallery/pyplots/dollar_ticks.md

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+# 美元符刻度
+
+使用 [FormatStrFormatter](https://matplotlib.org/api/ticker_api.html#matplotlib.ticker.FormatStrFormatter) 在y轴标签上添加美元符号。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.ticker as ticker
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+fig, ax = plt.subplots()
+ax.plot(100*np.random.rand(20))
+
+formatter = ticker.FormatStrFormatter('$%1.2f')
+ax.yaxis.set_major_formatter(formatter)
+
+for tick in ax.yaxis.get_major_ticks():
+    tick.label1On = False
+    tick.label2On = True
+    tick.label2.set_color('green')
+
+plt.show()
+```
+
+![美元符号刻度示例](https://matplotlib.org/_images/sphx_glr_dollar_ticks_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.ticker
+matplotlib.ticker.FormatStrFormatter
+matplotlib.axis.Axis.set_major_formatter
+matplotlib.axis.Axis.get_major_ticks
+matplotlib.axis.Tick
+```
+
+## 下载这个示例
+            
+- [下载python源码: dollar_ticks.py](https://matplotlib.org/_downloads/dollar_ticks.py)
+- [下载Jupyter notebook: dollar_ticks.ipynb](https://matplotlib.org/_downloads/dollar_ticks.ipynb)

Python/matplotlab/gallery/pyplots/fig_axes_customize_simple.md

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+# 简单的图轴自定义
+
+自定义简单绘图的背景，标签和刻度。
+
+```python
+import matplotlib.pyplot as plt
+```
+
+用 ``plt.figure`` 创建一个 ``matplotlib.figure.Figure`` 实例
+
+```python
+fig = plt.figure()
+rect = fig.patch # a rectangle instance
+rect.set_facecolor('lightgoldenrodyellow')
+
+ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
+rect = ax1.patch
+rect.set_facecolor('lightslategray')
+
+
+for label in ax1.xaxis.get_ticklabels():
+    # label is a Text instance
+    label.set_color('red')
+    label.set_rotation(45)
+    label.set_fontsize(16)
+
+for line in ax1.yaxis.get_ticklines():
+    # line is a Line2D instance
+    line.set_color('green')
+    line.set_markersize(25)
+    line.set_markeredgewidth(3)
+
+plt.show()
+```
+
+![简单的图轴自定义示例](https://matplotlib.org/_images/sphx_glr_fig_axes_customize_simple_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axis.Axis.get_ticklabels
+matplotlib.axis.Axis.get_ticklines
+matplotlib.text.Text.set_rotation
+matplotlib.text.Text.set_fontsize
+matplotlib.text.Text.set_color
+matplotlib.lines.Line2D
+matplotlib.lines.Line2D.set_color
+matplotlib.lines.Line2D.set_markersize
+matplotlib.lines.Line2D.set_markeredgewidth
+matplotlib.patches.Patch.set_facecolor
+```
+
+## 下载这个示例
+            
+- [下载python源码: fig_axes_customize_simple.py](https://matplotlib.org/_downloads/fig_axes_customize_simple.py)
+- [下载Jupyter notebook: fig_axes_customize_simple.ipynb](https://matplotlib.org/_downloads/fig_axes_customize_simple.ipynb)

Python/matplotlab/gallery/pyplots/fig_axes_labels_simple.md

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+# 简单的图轴标记
+
+标记图的轴。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+fig.subplots_adjust(top=0.8)
+ax1 = fig.add_subplot(211)
+ax1.set_ylabel('volts')
+ax1.set_title('a sine wave')
+
+t = np.arange(0.0, 1.0, 0.01)
+s = np.sin(2*np.pi*t)
+line, = ax1.plot(t, s, color='blue', lw=2)
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
+n, bins, patches = ax2.hist(np.random.randn(1000), 50,
+    facecolor='yellow', edgecolor='yellow')
+ax2.set_xlabel('time (s)')
+
+plt.show()
+```
+
+![简单的图轴标记示例](https://matplotlib.org/_images/sphx_glr_fig_axes_labels_simple_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.set_xlabel
+matplotlib.axes.Axes.set_ylabel
+matplotlib.axes.Axes.set_title
+matplotlib.axes.Axes.plot
+matplotlib.axes.Axes.hist
+matplotlib.figure.Figure.add_axes
+```
+
+## 下载这个示例
+            
+- [下载python源码: fig_axes_labels_simple.py](https://matplotlib.org/_downloads/fig_axes_labels_simple.py)
+- [下载Jupyter notebook: fig_axes_labels_simple.ipynb](https://matplotlib.org/_downloads/fig_axes_labels_simple.ipynb)
+

Python/matplotlab/gallery/pyplots/fig_x.md

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+# X图
+
+添加线条到图形（没有轴）。
+
+```python
+import matplotlib.pyplot as plt
+import matplotlib.lines as lines
+
+
+fig = plt.figure()
+
+l1 = lines.Line2D([0, 1], [0, 1], transform=fig.transFigure, figure=fig)
+
+l2 = lines.Line2D([0, 1], [1, 0], transform=fig.transFigure, figure=fig)
+
+fig.lines.extend([l1, l2])
+
+plt.show()
+```
+
+![X图示例](https://matplotlib.org/_images/sphx_glr_fig_x_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.figure
+matplotlib.lines
+matplotlib.lines.Line2D
+```
+
+## 下载这个示例
+            
+- [下载python源码: fig_x.py](https://matplotlib.org/_downloads/fig_x.py)
+- [下载Jupyter notebook: fig_x.ipynb](https://matplotlib.org/_downloads/fig_x.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_formatstr.md

@@ -0,0 +1,27 @@
+# Pyplot 格式字符串(Formatstr)
+
+使用格式字符串为绘图([plot](https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot))着色并设置其标记。
+
+```python
+import matplotlib.pyplot as plt
+plt.plot([1,2,3,4], [1,4,9,16], 'ro')
+plt.axis([0, 6, 0, 20])
+plt.show()
+```
+
+![格式字符串示例](https://matplotlib.org/_images/sphx_glr_pyplot_formatstr_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.plot
+matplotlib.axes.Axes.plot
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_formatstr.py](https://matplotlib.org/_downloads/pyplot_formatstr.py)
+- [下载Jupyter notebook: pyplot_formatstr.ipynb](https://matplotlib.org/_downloads/pyplot_formatstr.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_mathtext.md

@@ -0,0 +1,36 @@
+# Pyplot 数学文本(Mathtext)
+
+在文本标签中使用数学表达式。有关MathText的概述，请参阅[编写数学表达式](https://matplotlib.org/tutorials/text/mathtext.html)。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+t = np.arange(0.0, 2.0, 0.01)
+s = np.sin(2*np.pi*t)
+
+plt.plot(t,s)
+plt.title(r'$\alpha_i > \beta_i$', fontsize=20)
+plt.text(1, -0.6, r'$\sum_{i=0}^\infty x_i$', fontsize=20)
+plt.text(0.6, 0.6, r'$\mathcal{A}\mathrm{sin}(2 \omega t)$',
+         fontsize=20)
+plt.xlabel('time (s)')
+plt.ylabel('volts (mV)')
+plt.show()
+```
+
+![数学文本示例](https://matplotlib.org/_images/sphx_glr_pyplot_mathtext_001.png)
+
+## 参考
+
+此示例显示了以下函数、方法、类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.text
+matplotlib.axes.Axes.text
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_mathtext.py](https://matplotlib.org/_downloads/pyplot_mathtext.py)
+- [下载Jupyter notebook: pyplot_mathtext.ipynb](https://matplotlib.org/_downloads/pyplot_mathtext.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_scales.md

@@ -0,0 +1,82 @@
+# Pyplot 比例尺(Scales)
+
+在不同的比例上创建图。这里显示了线性，对数，对称对数和对数标度。有关更多示例，请参阅库的[“缩放”](https://matplotlib.org/gallery/index.html#scales-examples)部分。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+from matplotlib.ticker import NullFormatter  # useful for `logit` scale
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# make up some data in the interval ]0, 1[
+y = np.random.normal(loc=0.5, scale=0.4, size=1000)
+y = y[(y > 0) & (y < 1)]
+y.sort()
+x = np.arange(len(y))
+
+# plot with various axes scales
+plt.figure(1)
+
+# linear
+plt.subplot(221)
+plt.plot(x, y)
+plt.yscale('linear')
+plt.title('linear')
+plt.grid(True)
+
+
+# log
+plt.subplot(222)
+plt.plot(x, y)
+plt.yscale('log')
+plt.title('log')
+plt.grid(True)
+
+
+# symmetric log
+plt.subplot(223)
+plt.plot(x, y - y.mean())
+plt.yscale('symlog', linthreshy=0.01)
+plt.title('symlog')
+plt.grid(True)
+
+# logit
+plt.subplot(224)
+plt.plot(x, y)
+plt.yscale('logit')
+plt.title('logit')
+plt.grid(True)
+# Format the minor tick labels of the y-axis into empty strings with
+# `NullFormatter`, to avoid cumbering the axis with too many labels.
+plt.gca().yaxis.set_minor_formatter(NullFormatter())
+# Adjust the subplot layout, because the logit one may take more space
+# than usual, due to y-tick labels like "1 - 10^{-3}"
+plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
+                    wspace=0.35)
+
+plt.show()
+```
+
+![Pyplot 比例尺示例](https://matplotlib.org/_images/sphx_glr_pyplot_scales_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.subplot
+matplotlib.pyplot.subplots_adjust
+matplotlib.pyplot.gca
+matplotlib.pyplot.yscale
+matplotlib.ticker.NullFormatter
+matplotlib.axis.Axis.set_minor_formatter
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_scales.py](https://matplotlib.org/_downloads/pyplot_scales.py)
+- [下载Jupyter notebook: pyplot_scales.ipynb](https://matplotlib.org/_downloads/pyplot_scales.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_simple.md

@@ -0,0 +1,28 @@
+# Pyplot 简单图(Simple)
+
+A most simple plot, where a list of numbers is plotted against their index.
+
+```python
+import matplotlib.pyplot as plt
+plt.plot([1,2,3,4])
+plt.ylabel('some numbers')
+plt.show()
+```
+
+![简单图示例](https://matplotlib.org/_images/sphx_glr_pyplot_simple_001.png)
+
+## 参考
+
+此示例显示了以下函数、方法、类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.plot
+matplotlib.pyplot.ylabel
+matplotlib.pyplot.show
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_simple.py](https://matplotlib.org/_downloads/pyplot_simple.py)
+- [下载Jupyter notebook: pyplot_simple.ipynb](https://matplotlib.org/_downloads/pyplot_simple.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_text.md

@@ -0,0 +1,45 @@
+# Pyplot 文本(Text)
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+mu, sigma = 100, 15
+x = mu + sigma * np.random.randn(10000)
+
+# the histogram of the data
+n, bins, patches = plt.hist(x, 50, density=True, facecolor='g', alpha=0.75)
+
+
+plt.xlabel('Smarts')
+plt.ylabel('Probability')
+plt.title('Histogram of IQ')
+plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
+plt.axis([40, 160, 0, 0.03])
+plt.grid(True)
+plt.show()
+```
+
+![Pyplot 文本示例](https://matplotlib.org/_images/sphx_glr_pyplot_text_001.png)
+
+## 参考
+
+此示例显示了以下函数、方法、类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.hist
+matplotlib.pyplot.xlabel
+matplotlib.pyplot.ylabel
+matplotlib.pyplot.text
+matplotlib.pyplot.grid
+matplotlib.pyplot.show
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_text.py](https://matplotlib.org/_downloads/pyplot_text.py)
+- [下载Jupyter notebook: pyplot_text.ipynb](https://matplotlib.org/_downloads/pyplot_text.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_three.md

@@ -0,0 +1,32 @@
+# Pyplot 绘制三条线
+
+在一次调用 [plot](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot) 绘图中绘制三个线图。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+# evenly sampled time at 200ms intervals
+t = np.arange(0., 5., 0.2)
+
+# red dashes, blue squares and green triangles
+plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
+plt.show()
+```
+
+![Pyplot 绘制三条线示例](https://matplotlib.org/_images/sphx_glr_pyplot_three_001.png)
+
+## 参考
+
+此示例显示了以下函数、方法、类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.plot
+matplotlib.axes.Axes.plot
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_three.py](https://matplotlib.org/_downloads/pyplot_three.py)
+- [下载Jupyter notebook: pyplot_three.ipynb](https://matplotlib.org/_downloads/pyplot_three.ipynb)

Python/matplotlab/gallery/pyplots/pyplot_two_subplots.md

@@ -0,0 +1,39 @@
+# Pyplot 绘制两个子图
+
+使用pyplot.subplot创建带有两个子图的图形。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+def f(t):
+    return np.exp(-t) * np.cos(2*np.pi*t)
+
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+
+plt.figure(1)
+plt.subplot(211)
+plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
+
+plt.subplot(212)
+plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
+plt.show()
+```
+
+![Pyplot 绘制两个子图示例](https://matplotlib.org/_images/sphx_glr_pyplot_two_subplots_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.pyplot.figure
+matplotlib.pyplot.subplot
+```
+
+## 下载这个示例
+            
+- [下载python源码: pyplot_two_subplots.py](https://matplotlib.org/_downloads/pyplot_two_subplots.py)
+- [下载Jupyter notebook: pyplot_two_subplots.ipynb](https://matplotlib.org/_downloads/pyplot_two_subplots.ipynb)

Python/matplotlab/gallery/pyplots/text_commands.md

@@ -0,0 +1,61 @@
+# 绘制不同的文本
+
+绘制许多不同种类的文本。
+
+```python
+import matplotlib.pyplot as plt
+
+fig = plt.figure()
+fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')
+
+ax = fig.add_subplot(111)
+fig.subplots_adjust(top=0.85)
+ax.set_title('axes title')
+
+ax.set_xlabel('xlabel')
+ax.set_ylabel('ylabel')
+
+ax.text(3, 8, 'boxed italics text in data coords', style='italic',
+        bbox={'facecolor':'red', 'alpha':0.5, 'pad':10})
+
+ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)
+
+ax.text(3, 2, 'unicode: Institut f\374r Festk\366rperphysik')
+
+ax.text(0.95, 0.01, 'colored text in axes coords',
+        verticalalignment='bottom', horizontalalignment='right',
+        transform=ax.transAxes,
+        color='green', fontsize=15)
+
+
+ax.plot([2], [1], 'o')
+ax.annotate('annotate', xy=(2, 1), xytext=(3, 4),
+            arrowprops=dict(facecolor='black', shrink=0.05))
+
+ax.axis([0, 10, 0, 10])
+
+plt.show()
+```
+
+![绘制不同的文本示例](https://matplotlib.org/_images/sphx_glr_text_commands_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.figure.Figure.suptitle
+matplotlib.figure.Figure.add_subplot
+matplotlib.figure.Figure.subplots_adjust
+matplotlib.axes.Axes.set_title
+matplotlib.axes.Axes.set_xlabel
+matplotlib.axes.Axes.set_ylabel
+matplotlib.axes.Axes.text
+matplotlib.axes.Axes.annotate
+```
+
+## 下载这个示例
+            
+- [下载python源码: text_commands.py](https://matplotlib.org/_downloads/text_commands.py)
+- [下载Jupyter notebook: text_commands.ipynb](https://matplotlib.org/_downloads/text_commands.ipynb)

Python/matplotlab/gallery/pyplots/text_layout.md

@@ -0,0 +1,100 @@
+# 不同文本的布局
+
+创建具有不同对齐和旋转的文本。
+
+```python
+import matplotlib.pyplot as plt
+import matplotlib.patches as patches
+
+# build a rectangle in axes coords
+left, width = .25, .5
+bottom, height = .25, .5
+right = left + width
+top = bottom + height
+
+fig = plt.figure()
+ax = fig.add_axes([0,0,1,1])
+
+# axes coordinates are 0,0 is bottom left and 1,1 is upper right
+p = patches.Rectangle(
+    (left, bottom), width, height,
+    fill=False, transform=ax.transAxes, clip_on=False
+    )
+
+ax.add_patch(p)
+
+ax.text(left, bottom, 'left top',
+        horizontalalignment='left',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, bottom, 'left bottom',
+        horizontalalignment='left',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right bottom',
+        horizontalalignment='right',
+        verticalalignment='bottom',
+        transform=ax.transAxes)
+
+ax.text(right, top, 'right top',
+        horizontalalignment='right',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(right, bottom, 'center top',
+        horizontalalignment='center',
+        verticalalignment='top',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5*(bottom+top), 'right center',
+        horizontalalignment='right',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, 0.5*(bottom+top), 'left center',
+        horizontalalignment='left',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(0.5*(left+right), 0.5*(bottom+top), 'middle',
+        horizontalalignment='center',
+        verticalalignment='center',
+        fontsize=20, color='red',
+        transform=ax.transAxes)
+
+ax.text(right, 0.5*(bottom+top), 'centered',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation='vertical',
+        transform=ax.transAxes)
+
+ax.text(left, top, 'rotated\nwith newlines',
+        horizontalalignment='center',
+        verticalalignment='center',
+        rotation=45,
+        transform=ax.transAxes)
+
+ax.set_axis_off()
+plt.show()
+```
+
+![不同文本的布局](https://matplotlib.org/_images/sphx_glr_text_layout_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.text
+matplotlib.pyplot.text
+```
+
+## 下载这个示例
+            
+- [下载python源码: text_layout.py](https://matplotlib.org/_downloads/text_layout.py)
+- [下载Jupyter notebook: text_layout.ipynb](https://matplotlib.org/_downloads/text_layout.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_1_subplot3d.md

@@ -0,0 +1,57 @@
+# 1.0版本新特性：3d子图
+
+在同一图中创建两个三维图。
+
+```python
+# This import registers the 3D projection, but is otherwise unused.
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
+
+from matplotlib import cm
+#from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter
+import matplotlib.pyplot as plt
+import numpy as np
+
+fig = plt.figure()
+
+ax = fig.add_subplot(1, 2, 1, projection='3d')
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
+        linewidth=0, antialiased=False)
+ax.set_zlim3d(-1.01, 1.01)
+
+#ax.w_zaxis.set_major_locator(LinearLocator(10))
+#ax.w_zaxis.set_major_formatter(FormatStrFormatter('%.03f'))
+
+fig.colorbar(surf, shrink=0.5, aspect=5)
+
+from mpl_toolkits.mplot3d.axes3d import get_test_data
+ax = fig.add_subplot(1, 2, 2, projection='3d')
+X, Y, Z = get_test_data(0.05)
+ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
+
+plt.show()
+```
+
+![3d子图示例](https://matplotlib.org/_images/sphx_glr_whats_new_1_subplot3d_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+import mpl_toolkits
+matplotlib.figure.Figure.add_subplot
+mpl_toolkits.mplot3d.axes3d.Axes3D.plot_surface
+mpl_toolkits.mplot3d.axes3d.Axes3D.plot_wireframe
+mpl_toolkits.mplot3d.axes3d.Axes3D.set_zlim3d
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_1_subplot3d.py](https://matplotlib.org/_downloads/whats_new_1_subplot3d.py)
+- [下载Jupyter notebook: whats_new_1_subplot3d.ipynb](https://matplotlib.org/_downloads/whats_new_1_subplot3d.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_98_4_fancy.md

@@ -0,0 +1,82 @@
+# 0.98.4版本新的炫酷特性
+
+创建精美的盒子和箭头样式。
+
+```python
+import matplotlib.patches as mpatch
+import matplotlib.pyplot as plt
+
+figheight = 8
+fig = plt.figure(1, figsize=(9, figheight), dpi=80)
+fontsize = 0.4 * fig.dpi
+
+def make_boxstyles(ax):
+    styles = mpatch.BoxStyle.get_styles()
+
+    for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
+        ax.text(0.5, (float(len(styles)) - 0.5 - i)/len(styles), stylename,
+                  ha="center",
+                  size=fontsize,
+                  transform=ax.transAxes,
+                  bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+
+def make_arrowstyles(ax):
+    styles = mpatch.ArrowStyle.get_styles()
+
+    ax.set_xlim(0, 4)
+    ax.set_ylim(0, figheight)
+
+    for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
+        y = (float(len(styles)) -0.25 - i) # /figheight
+        p = mpatch.Circle((3.2, y), 0.2, fc="w")
+        ax.add_patch(p)
+
+        ax.annotate(stylename, (3.2, y),
+                    (2., y),
+                    #xycoords="figure fraction", textcoords="figure fraction",
+                    ha="right", va="center",
+                    size=fontsize,
+                    arrowprops=dict(arrowstyle=stylename,
+                                    patchB=p,
+                                    shrinkA=5,
+                                    shrinkB=5,
+                                    fc="w", ec="k",
+                                    connectionstyle="arc3,rad=-0.05",
+                                    ),
+                    bbox=dict(boxstyle="square", fc="w"))
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+ax1 = fig.add_subplot(121, frameon=False, xticks=[], yticks=[])
+make_boxstyles(ax1)
+
+ax2 = fig.add_subplot(122, frameon=False, xticks=[], yticks=[])
+make_arrowstyles(ax2)
+
+
+plt.show()
+```
+
+![新特性示例](https://matplotlib.org/_images/sphx_glr_whats_new_98_4_fancy_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.patches
+matplotlib.patches.BoxStyle
+matplotlib.patches.BoxStyle.get_styles
+matplotlib.patches.ArrowStyle
+matplotlib.patches.ArrowStyle.get_styles
+matplotlib.axes.Axes.text
+matplotlib.axes.Axes.annotate
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_98_4_fancy.py](https://matplotlib.org/_downloads/whats_new_98_4_fancy.py)
+- [下载Jupyter notebook: whats_new_98_4_fancy.ipynb](https://matplotlib.org/_downloads/whats_new_98_4_fancy.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_98_4_fill_between.md

@@ -0,0 +1,36 @@
+# 填充交叉区域
+
+填充两条曲线之间的区域。
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.arange(-5, 5, 0.01)
+y1 = -5*x*x + x + 10
+y2 = 5*x*x + x
+
+fig, ax = plt.subplots()
+ax.plot(x, y1, x, y2, color='black')
+ax.fill_between(x, y1, y2, where=y2 >y1, facecolor='yellow', alpha=0.5)
+ax.fill_between(x, y1, y2, where=y2 <=y1, facecolor='red', alpha=0.5)
+ax.set_title('Fill Between')
+
+plt.show()
+```
+
+![填充示例](https://matplotlib.org/_images/sphx_glr_whats_new_98_4_fill_between_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.fill_between
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_98_4_fill_between.py](https://matplotlib.org/_downloads/whats_new_98_4_fill_between.py)
+- [下载Jupyter notebook: whats_new_98_4_fill_between.ipynb](https://matplotlib.org/_downloads/whats_new_98_4_fill_between.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_98_4_legend.md

@@ -0,0 +1,39 @@
+# 0.98.4版本图例新特性
+
+创建图例并使用阴影和长方体对其进行调整。
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+ax = plt.subplot(111)
+t1 = np.arange(0.0, 1.0, 0.01)
+for n in [1, 2, 3, 4]:
+    plt.plot(t1, t1**n, label="n=%d"%(n,))
+
+leg = plt.legend(loc='best', ncol=2, mode="expand", shadow=True, fancybox=True)
+leg.get_frame().set_alpha(0.5)
+
+
+plt.show()
+```
+
+![新特性图例示例](https://matplotlib.org/_images/sphx_glr_whats_new_98_4_legend_001.png)
+
+## 参考
+
+此示例显示了以下函数、方法、类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.legend
+matplotlib.pyplot.legend
+matplotlib.legend.Legend
+matplotlib.legend.Legend.get_frame
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_98_4_legend.py](https://matplotlib.org/_downloads/whats_new_98_4_legend.py)
+- [下载Jupyter notebook: whats_new_98_4_legend.ipynb](https://matplotlib.org/_downloads/whats_new_98_4_legend.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_99_axes_grid.md

@@ -0,0 +1,67 @@
+# 0.99版本轴网格新特性
+
+创建RGB合成图像。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes
+
+
+def get_demo_image():
+    # prepare image
+    delta = 0.5
+
+    extent = (-3, 4, -4, 3)
+    x = np.arange(-3.0, 4.001, delta)
+    y = np.arange(-4.0, 3.001, delta)
+    X, Y = np.meshgrid(x, y)
+    Z1 = np.exp(-X**2 - Y**2)
+    Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+    Z = (Z1 - Z2) * 2
+
+    return Z, extent
+
+
+def get_rgb():
+    Z, extent = get_demo_image()
+
+    Z[Z < 0] = 0.
+    Z = Z / Z.max()
+
+    R = Z[:13, :13]
+    G = Z[2:, 2:]
+    B = Z[:13, 2:]
+
+    return R, G, B
+
+
+fig = plt.figure(1)
+ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
+
+r, g, b = get_rgb()
+kwargs = dict(origin="lower", interpolation="nearest")
+ax.imshow_rgb(r, g, b, **kwargs)
+
+ax.RGB.set_xlim(0., 9.5)
+ax.RGB.set_ylim(0.9, 10.6)
+
+plt.show()
+```
+
+![创建RGB合成图像示例](https://matplotlib.org/_images/sphx_glr_whats_new_99_axes_grid_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import mpl_toolkits
+mpl_toolkits.axes_grid1.axes_rgb.RGBAxes
+mpl_toolkits.axes_grid1.axes_rgb.RGBAxes.imshow_rgb
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_99_axes_grid.py](https://matplotlib.org/_downloads/whats_new_99_axes_grid.py)
+- [下载Jupyter notebook: whats_new_99_axes_grid.ipynb](https://matplotlib.org/_downloads/whats_new_99_axes_grid.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_99_mplot3d.md

@@ -0,0 +1,39 @@
+# 0.99版本新增Mplot3d对象
+
+创建3D曲面图。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import cm
+from mpl_toolkits.mplot3d import Axes3D
+
+X = np.arange(-5, 5, 0.25)
+Y = np.arange(-5, 5, 0.25)
+X, Y = np.meshgrid(X, Y)
+R = np.sqrt(X**2 + Y**2)
+Z = np.sin(R)
+
+fig = plt.figure()
+ax = Axes3D(fig)
+ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.viridis)
+
+plt.show()
+```
+
+![3D曲面图示例](https://matplotlib.org/_images/sphx_glr_whats_new_99_mplot3d_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import mpl_toolkits
+mpl_toolkits.mplot3d.Axes3D
+mpl_toolkits.mplot3d.Axes3D.plot_surface
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_99_mplot3d.py](https://matplotlib.org/_downloads/whats_new_99_mplot3d.py)
+- [下载Jupyter notebook: whats_new_99_mplot3d.ipynb](https://matplotlib.org/_downloads/whats_new_99_mplot3d.ipynb)

Python/matplotlab/gallery/pyplots/whats_new_99_spines.md

@@ -0,0 +1,72 @@
+# 0.99版本新增Spines对象
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def adjust_spines(ax,spines):
+    for loc, spine in ax.spines.items():
+        if loc in spines:
+            spine.set_position(('outward',10)) # outward by 10 points
+        else:
+            spine.set_color('none') # don't draw spine
+
+    # turn off ticks where there is no spine
+    if 'left' in spines:
+        ax.yaxis.set_ticks_position('left')
+    else:
+        # no yaxis ticks
+        ax.yaxis.set_ticks([])
+
+    if 'bottom' in spines:
+        ax.xaxis.set_ticks_position('bottom')
+    else:
+        # no xaxis ticks
+        ax.xaxis.set_ticks([])
+
+fig = plt.figure()
+
+x = np.linspace(0,2*np.pi,100)
+y = 2*np.sin(x)
+
+ax = fig.add_subplot(2,2,1)
+ax.plot(x,y)
+adjust_spines(ax,['left'])
+
+ax = fig.add_subplot(2,2,2)
+ax.plot(x,y)
+adjust_spines(ax,[])
+
+ax = fig.add_subplot(2,2,3)
+ax.plot(x,y)
+adjust_spines(ax,['left','bottom'])
+
+ax = fig.add_subplot(2,2,4)
+ax.plot(x,y)
+adjust_spines(ax,['bottom'])
+
+plt.show()
+```
+
+![Spines对象绘图示例](https://matplotlib.org/_images/sphx_glr_whats_new_99_spines_001.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axis.Axis.set_ticks
+matplotlib.axis.XAxis.set_ticks_position
+matplotlib.axis.YAxis.set_ticks_position
+matplotlib.spines
+matplotlib.spines.Spine
+matplotlib.spines.Spine.set_color
+matplotlib.spines.Spine.set_position
+```
+
+## 下载这个示例
+            
+- [下载python源码: whats_new_99_spines.py](https://matplotlib.org/_downloads/whats_new_99_spines.py)
+- [下载Jupyter notebook: whats_new_99_spines.ipynb](https://matplotlib.org/_downloads/whats_new_99_spines.ipynb)