問題描述

我正在嘗試在 matplotlib 中實現一個簡單的鼠標單擊事件.我希望繪制一個圖形，然后使用鼠標選擇積分的下限和上限.到目前為止，我能夠將坐標打印到屏幕上，但不能存儲它們以供以后在程序中使用.我也想在第二次鼠標點擊后退出與圖的連接.

I am trying to implement a simple mouse click event in matplotlib. I wish to plot a figure then use the mouse to select the lower and upper limits for integration. So far I am able to print the coordinates to screen but not store them for later use in the program. I would also like to exit the connection to the figure after the second mouse click.

下面是當前繪制然后打印坐標的代碼.

Below is the code which currently plots and then prints the coordinates.

我的問題:

如何將圖形中的坐標存儲到列表中?即點擊 = [xpos, ypos]

How can I store coordinates from the figure to list? i.e. click = [xpos, ypos]

是否有可能獲得兩組 x 坐標以便對該段線進行簡單的積分?

Is it possible to get two sets of x coordinates in order to do a simple integration over that section of line?

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(-10,10)
y = x**2

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x,y)

def onclick(event):
    global ix, iy
    ix, iy = event.xdata, event.ydata
    print 'x = %d, y = %d'%(
        ix, iy)

    global coords
    coords = [ix, iy]

    return coords


for i in xrange(0,1):

    cid = fig.canvas.mpl_connect('button_press_event', onclick)


plt.show()

推薦答案

mpl_connect 只需調用一次即可將事件連接到事件處理程序.它將開始監聽點擊事件，直到您斷開連接.你可以使用

mpl_connect needs to be called just once to connect the event to event handler. It will start listening to click event until you disconnect. And you can use

fig.canvas.mpl_disconnect(cid)

斷開事件掛鉤.

你想做的是這樣的:

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(-10,10)
y = x**2

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x,y)

coords = []

def onclick(event):
    global ix, iy
    ix, iy = event.xdata, event.ydata
    print 'x = %d, y = %d'%(
        ix, iy)

    global coords
    coords.append((ix, iy))

    if len(coords) == 2:
        fig.canvas.mpl_disconnect(cid)

    return coords
cid = fig.canvas.mpl_connect('button_press_event', onclick)

這篇關于使用 matplotlib 存儲鼠標單擊事件坐標的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！