将button_press_event与matplotlib中的拖动和缩放点击区分开来

我有一个简单的代码，显示两个子图，并让用户在记录时左键单击第二个子图x,y这些点击的坐标。

问题是，单击选择要缩放的区域并拖动子图也被识别为左键单击。

有没有办法区分并过滤掉这些左键点击？

import numpy as np
import matplotlib.pyplot as plt


def onclick(event, ax):
    # Only clicks inside this axis are valid.
    if event.inaxes == ax:
        if event.button == 1:
            print(event.xdata, event.ydata)
            # Draw the click just made
            ax.scatter(event.xdata, event.ydata)
            ax.figure.canvas.draw()
        elif event.button == 2:
            # Do nothing
            print("scroll click")
        elif event.button == 3:
            # Do nothing
            print("right click")
        else:
            pass


fig, (ax1, ax2) = plt.subplots(1, 2)
# Plot some random scatter data
ax2.scatter(np.random.uniform(0., 10., 10), np.random.uniform(0., 10., 10))

fig.canvas.mpl_connect(
    'button_press_event', lambda event: onclick(event, ax2))
plt.show()

您可以检查先前移动鼠标后鼠标按钮是否被释放。由于对于缩放和平移，只有在之前没有发生任何移动时，您才可以调用该函数来绘制新点。

import numpy as np
import matplotlib.pyplot as plt

class Click():
    def __init__(self, ax, func, button=1):
        self.ax=ax
        self.func=func
        self.button=button
        self.press=False
        self.move = False
        self.c1=self.ax.figure.canvas.mpl_connect('button_press_event', self.onpress)
        self.c2=self.ax.figure.canvas.mpl_connect('button_release_event', self.onrelease)
        self.c3=self.ax.figure.canvas.mpl_connect('motion_notify_event', self.onmove)

    def onclick(self,event):
        if event.inaxes == self.ax:
            if event.button == self.button:
                self.func(event, self.ax)
    def onpress(self,event):
        self.press=True
    def onmove(self,event):
        if self.press:
            self.move=True
    def onrelease(self,event):
        if self.press and not self.move:
            self.onclick(event)
        self.press=False; self.move=False


def func(event, ax):
    print(event.xdata, event.ydata)
    ax.scatter(event.xdata, event.ydata)
    ax.figure.canvas.draw()

fig, (ax1, ax2) = plt.subplots(1, 2)
# Plot some random scatter data
ax2.scatter(np.random.uniform(0., 10., 10), np.random.uniform(0., 10., 10))
click = Click(ax2, func, button=1)
plt.show()