鼠标单击事件后刷新图

本文介绍了鼠标单击事件后刷新图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

单击鼠标后，我需要刷新matplotlib条形图.该图应采用event.ydata值并根据其重新绘制数据.我能够从鼠标事件中检索到该值，但是当我尝试刷新绘图时，似乎什么都没有发生.这是我的代码:

I need to refresh a matplotlib bar plot after a mouse click. The plot should take the event.ydata value and replot data according to it. I was able to retrieve this value from the mouse event, but when I try to refresh the plot nothing seems to happen. Here is my code:

#df is a pd.DataFrame, I have to plot just the df_mean with error bars (marginOfError) df_mean = df.mean(axis=1) df_std = df.std(axis=1) marginOfError = 1.96*df_std/np.sqrt(3650) index = np.arange(4) def print_data(threshold): colors = [] for i,err in zip(df_mean,marginOfError): if(i + err < threshold): colors.append('#001f7c') elif(i - err > threshold): colors.append('#bc0917') else: colors.append('#e0d5d6') fig, ax = plt.subplots() plt.bar(index, df_mean, 0.85, alpha=0.85, color=colors, yerr=marginOfError) plt.xticks(index, df.index) #horizontal threshold line ax.plot([-0.5, 3.5], [threshold, threshold], "c-") # first print data with a given threshold value print_data(df_mean.iloc[1]) def onclick(event): plt.gca().set_title('{}'.format(event.ydata)) print_data(event.ydata) plt.gcf().canvas.mpl_connect('button_press_event', onclick) fig.canvas.draw()

我在做什么错了?

推荐答案

您可能希望在同一图中绘制每个新图.因此，您应该在重复调用的函数之外创建图形和轴.因此，将 fig，ax = plt.subplots()放置在函数外部，并在内部绘制 ax.clear()轴，然后再绘制新图.

You would probably want to plot each new plot in the same figure. Therefore you should create the figure and axes outside the repetitively called function. Thus put fig, ax = plt.subplots() outside the function, and inside you may clear the axes, ax.clear() before drawing a new plot to it.

最后，您需要通过实际放置画布来重绘

At the end, you need to actually redraw the canvas by putting

plt.gcf().canvas.draw_idle()

onclick 函数末尾的

.