ipython：访问当前图形（）
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ipython : get access to current figure()
提问by sten
I want to add more fine grained grid on a plotted graph. The problem is all of the examples require access to the axis object. I want to add specific grid to already plotted graph (from inside ipython).
我想在绘制的图形上添加更细粒度的网格。问题是所有示例都需要访问轴对象。我想向已经绘制的图形添加特定的网格（从 ipython 内部）。
How do I gain access to the current figure and axis in ipython ?
如何访问 ipython 中的当前图形和轴？
回答by runDOSrun
plt.gcf()to get current figure
plt.gcf()获取当前数字
plt.gca()to get current axis
plt.gca()获取当前轴
回答by hpaulj
With the plt?example (assuming ipython --pylab)
用plt?例子（假设ipython --pylab）
In [44]: x=np.arange(0,5,.1)
In [45]: y=np.sin(x)
In [46]: plt.plot(x,y)
Out[46]: [<matplotlib.lines.Line2D at 0xb09418cc>]
displays figure 1; get its handle with:
显示figure 1; 得到它的处理：
In [47]: f=plt.figure(1)
In [48]: f
Out[48]: <matplotlib.figure.Figure at 0xb17acb2c>
and a list of its axes:
及其轴列表：
In [49]: f.axes
Out[49]: [<matplotlib.axes._subplots.AxesSubplot at 0xb091198c>]
turn the grid on for the current (and only) axis:
打开当前（且唯一）轴的网格：
In [51]: a=f.axes[0]
In [52]: a.grid(True)
I haven't used the plt in a while, so found this stuff by just making the plot and searching the tab completion and ? for likely stuff. I'm pretty sure this is also available in the pltdocumentation.
我有一段时间没有使用 plt，所以只需制作绘图并搜索选项卡完成和 ? 对于可能的东西。我很确定这也可以在plt文档中找到。
Or you can create the figure first, and hang on to its handle
或者你可以先创建图形，然后抓住它的手柄
In [53]: fig=plt.figure()
In [55]: ax1=fig.add_subplot(2,1,1)
In [56]: ax2=fig.add_subplot(2,1,2)
In [57]: plt.plot(x,y)
Out[57]: [<matplotlib.lines.Line2D at 0xb12ed5ec>]
In [58]: fig.axes
Out[58]:
[<matplotlib.axes._subplots.AxesSubplot at 0xb0917e2c>,
<matplotlib.axes._subplots.AxesSubplot at 0xb17a35cc>]
And there's gcfand gca(get current figure/axis). Same as in MATLAB if my memory is correct.
还有gcf和gca（获取当前图形/轴）。如果我的记忆是正确的，则与 MATLAB 中的相同。
In [68]: plt.gca()
Out[68]: <matplotlib.axes._subplots.AxesSubplot at 0xb17a35cc>
In [66]: plt.gcf()
Out[66]: <matplotlib.figure.Figure at 0xb091eeec>
(these are used in the sidebar link: Matplotlib.pyplot - Deactivate axes in figure. /Axis of figure overlap with axes of subplot)
（这些在侧边栏链接中使用：Matplotlib.pyplot - 停用图中的轴。/图轴与子图轴重叠）
