将 button_press_event 与 matplotlib 中的拖动和缩放点击区分开来 [英] Distinguish button_press_event from drag and zoom clicks in matplotlib

问题描述

我有一个简单的代码，它显示了两个子图，让用户在记录这些点击的 x,y 坐标的同时左键单击第二个子图.

I have a simple code that shows two subplots, and lets the user left click on the second subplot while recording the x,y coordinates of those clicks.

问题是点击选择一个区域进行缩放和拖动子图也被识别为左键点击.

The problem is that clicks to select a region to zoom and to drag the subplot are also identified as left clicks.

有没有办法区分和滤除这些左击?

Is there a way to distinguish and filter out these left clicks?

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()

推荐答案

您可以检查之前移动鼠标后是否释放鼠标按钮.由于要进行缩放和平移，因此只有在没有以前的移动发生时，才可以调用该函数以绘制新点.

You may check if the mouse button is released after the mouse has previously been moved. Since for zooming and panning, this would be the case you may call the function to draw a new point only when no previous movement has happened.

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()

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