动态更改matplotlib图的内容 [英] Change dynamically the contents of a matplotlib plot

问题描述

我前一段时间，我在比较使用python和matplotlib的两个函数的输出.结果非常简单，因为使用matplotlib进行绘制非常容易:我只是绘制了两个带有不同标记的数组.小菜一碟.

I while ago, I was comparing the output of two functions using python and matplotlib. The result was as good as simple, since plotting with matplotlib is quite easy: I just plotted two arrays with different markers. Piece of cake.

现在我发现自己遇到了同样的问题，但是现在我要比较很多曲线.最初，我尝试使用不同的颜色和标记来绘制所有内容.这让我不满意，因为每条曲线的范围都不完全相同.除此之外，我很快就用尽了足以识别的颜色和标记(RGBCMYK，自定义颜色类似于以前的任何颜色).

Now I find myself with the same problem, but now I have a lot of pair of curves to compare. I initially tried plotting everything with different colors and markers. This did not satisfy me since the ranges of each curve are not quite the same. In addition to this, I quickly ran out of colors and markers that were sufficiently different to identify (RGBCMYK, after that, custom colors resemble any of the previous ones).

我还尝试对每对曲线进行子图绘制，以获得包含许多图的窗口.太拥挤. 我在每个图上尝试了一个窗口，但窗口太多了.

I also tried subplotting each pair of curves, obtaining a window with many plots. Too crowded. I tried one window per plot, too many windows.

所以我只是想知道是否有任何现有的小部件，或者您是否有任何建议(或不同的想法)来完成此任务:

So I was just wondering if there is any existing widget or if you have any suggestion (or a different idea) to accomplish this:

我希望看到一对曲线，然后使用滑块，按钮，鼠标滚动或任何其他小部件或事件轻松选择下一条曲线.通过更改曲线，前一条应消失，图例也应改变，其轴也应改变.

I want to see a pair of curves and then select easily the next one, with a slidebar, button, mouse scroll, or any other widget or event. By changing curves, the previous one should disappear, the legend should change and its axis as well.

推荐答案

好吧，我设法通过一个事件处理程序来实现此操作，以进行鼠标单击.我将其更改为更有用的内容，但无论如何我都会发布解决方案.

Well I managed to do it with an event handler for mouse clicks. I will change it for something more useful, but I post my solution anyway.

import matplotlib.pyplot as plt

figure = plt.figure()
# plotting
plt.plot([1,2,3],[10,20,30],'bo-')
plt.grid()
plt.legend()

def on_press(event):
    print 'you pressed', event.button, event.xdata, event.ydata
    event.canvas.figure.clear()
    # select new curves to plot, in this example [1,2,3] [0,0,0]
    event.canvas.figure.gca().plot([1,2,3],[0,0,0], 'ro-')
    event.canvas.figure.gca().grid()
    event.canvas.figure.gca().legend()
    event.canvas.draw()


figure.canvas.mpl_connect('button_press_event', on_press)

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