将贝塞尔曲线轴添加到Matplotlib图 [英] Adding bezier axes to matplotlib figure

问题描述

使用 bezier 库时，Curve.plot()函数将返回AxesSubplot对象

When using the bezier library, the Curve.plot() function returns an AxesSubplot object

nodes1 = np.array([[0.0, 0.0],[0.625, .75], [1.0, 1.0]])
curve1 = bezier.Curve(nodes1, degree=2)
ax = curve1.plot(num_pts=256)
print ax

返回一个

AxesSubplot(0.125,0.11;0.775x0.77)

我知道创建子图的典型方法是

I know the typical way of creating a subplot is with

fig = pyplot.figure()
ax = fig.add_subplot(111)

但是我找不到任何有关在图形上添加已经创建的子图的文档.

but I can't find any documentation on adding an already created subplot to a figure.

我可以使用plt.show()显示子图，但无法访问该图.如果尝试使用plt.figure()创建图形，则会显示两个不同的图形(在不同的窗口中).

I can display the subplot with plt.show() but can't access the figure. If I try to create a figure with plt.figure(), two different figures (in different windows) are displayed.

推荐答案

首先，要避免打开另一个窗口，必须关闭"绘图:

First, to avoid another window to open you must "close" the plotting:

pyplot.close()

然后您可以执行

ax = curve1.plot(num_pts=256)

现在，我不知道为什么要引入子图(111)，该图仍然使用整个窗口(单个图).但是，如果您仍然想使用较小的子图(例如221)，则可以执行以下操作:

Now, I don't know why do you bring in subplot(111), which uses the whole window anyway (single figure). But if you still want to use a smaller subplot (e.g. 221), you can do the following:

pyplot.close()
fig = pyplot.figure()
#fig = pyplot.gcf(); # This will also do
ax = fig.add_subplot(221); curve.plot(num_pts=256,ax=ax)

(注意:我只是测试了这两种情况，它们都起作用.只有我使用2D节点而不是3D.)

(Note: I just tested both cases and they work. Only I used 2D nodes instead of 3D.)

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