在python的matplotlib中使用鼠标拖动和移动图形线

我试图在python的matplotlib中生成一个交互式图形。我有两组数据，一组是散点图，另一组是线图。我的最小代码如下

将numpy导入为np
将matplotlib.pyplot作为plt导入
模型=np.数组（[（0.310，-0.687），（0.407，-0.355），（0.455，-0.142），（0.504,0.061），（0.552,0.238），
(0.601,  0.380), (0.698,  0.549), (0.746,  0.581), (0.795, 0.587), (0.859, 0.567), 
(0.956,  0.511), (1.053,  0.473), (1.150,  0.489), (1.199, 0.523), (1.296, 0.640), 
(1.393,  0.812), (1.490,  0.981), (1.587,  1.189), (1.684, 1.386), (1.781, 1.572), 
(1.878, 1.766)])
obser=np.数组（[（0.212，-0.114），（0.199,0.017），（0.259,0.020），（0.199,0.076），（0.297,0.082），
(0.735, 0.085), (0.641, 0.104), (0.791, 0.104), (0.681, 0.109), (0.606, 0.132), 
(0.262, 0.135), (0.813, 0.137), (0.334, 0.157), (0.565, 0.165), (0.647, 0.170), 
(0.876, 0.174), (0.746, 0.186), (0.509, 0.197), (0.398, 0.203), (0.693, 0.207), 
(0.829, 0.215), (0.299, 0.226), (0.585, 0.228), (0.549, 0.242), (0.430, 0.242), 
(0.637, 0.253), (0.511, 0.257), (0.918, 0.268), (0.813, 0.269), (0.746, 0.271), 
(0.336, 0.288), (0.449, 0.297), (0.398, 0.299), (0.783, 0.306), (0.578, 0.312), 
(0.871, 0.330), (0.515, 0.345), (0.468, 0.353), (0.818, 0.380), (0.936, 0.391), 
(0.889, 0.416), (0.876, 0.503), (1.027, 0.522), (1.040, 0.601), (0.965, 0.656), 
(1.130, 0.796), (1.224, 0.845), (1.261, 0.964), (1.378, 1.149)])
图（ax1，ax2）=plt.子批次（nrows=1，ncols=2，figsize=（9,6））
图子地块调整（wspace=0.5，hspace=0）
模型2=模型-（0.37,0.32）
ax1.invert_yaxis（）
ax1.设置标签（“BmV”）
ax1.set_ylabel（“UmB”）
ax1.散布（观察者[：，0]，观察者[：，1]，s=2，c=“黑色”）
ax1.绘图（模型[：，0]，模型[：，1]，线宽=1，c=“红色”）
ax1.text（0.7,0.96，'Before'，垂直对齐='top'，水平对齐='left'，
transform=ax1.transAxes，颜色为“黑色”，字体大小为12）
ax2.invert_yaxis（）
ax2.设置标签（“BmV”）
ax2.设置标签（“UmB”）
ax2.散布（观察者[：，0]，观察者[：，1]，s=2，c=“黑色”）
ax2.绘图（模型2[：，0]，模型2[：，1]，线宽=1，c=“红色”）
ax2.text（0.8,0.96，'After'，垂直对齐='top'，水平对齐='left'，
transform=ax2.transAxes，颜色为“黑色”，字体大小为12）
plt.show（）

我想用鼠标将红线图从“之前”位置拖到“之后”位置

我们怎么能做到呢

---

以下是我的工作示例

import numpy as np
import matplotlib.pyplot as plt

class MoveGraphLine(object):
    def __init__(self, ax, graf, obj, eubv):
        self.ax = ax
        self.figcanvas = self.ax.figure.canvas
        self.graf = graf
        self.obj = obj
        self.kayma = 0.0
        self.ebv, self.eub = eubv
        self.moved = None
        self.point = None
        self.pressed = False
        self.start = False

        self.figcanvas.mpl_connect('button_press_event', self.mouse_press)
        self.figcanvas.mpl_connect('button_release_event', self.mouse_release)
        self.figcanvas.mpl_connect('motion_notify_event', self.mouse_move)

    def mouse_release(self, event):
        if self.ax.get_navigate_mode()!= None: return
        if not event.inaxes: return
        if event.inaxes != self.ax: return
        if self.pressed: 
            self.pressed = False
            self.start = False
            self.point = None
            self.ebv -= self.kayma
            self.obj = self.moved
            return

    def mouse_press(self, event):
        if self.ax.get_navigate_mode()!= None: return
        if not event.inaxes: return
        if event.inaxes != self.ax: return
        if self.start: return
        self.point = event.xdata
        self.pressed = True

    def mouse_move(self, event):
        if self.ax.get_navigate_mode()!= None: return
        if not event.inaxes: return
        if event.inaxes != self.ax: return
        if not self.pressed: return
        self.start = True

        self.kayma = self.point - event.xdata
        keub = 0.72 * self.kayma + 0.025 * self.kayma**2
        self.moved = self.obj - [self.kayma, keub]
        mvdx, mvdy = self.moved[:, 0], self.moved[:, 1]

        self.graf.remove()
        self.graf, = self.ax.plot(mvdx, mvdy, linewidth=1.1, c="b")

        self.figcanvas.draw()


model = np.array([(0.310, -0.687), (0.407, -0.355), (0.455, -0.142), (0.504, 0.061), (0.552, 0.238), 
                  (0.601,  0.380), (0.698,  0.549), (0.746,  0.581), (0.795, 0.587), (0.859, 0.567), 
                  (0.956,  0.511), (1.053,  0.473), (1.150,  0.489), (1.199, 0.523), (1.296, 0.640), 
                  (1.393,  0.812), (1.490,  0.981), (1.587,  1.189), (1.684, 1.386), (1.781, 1.572), 
                  (1.878, 1.766)])

obser = np.array([(0.212, -0.114), (0.199, 0.017), (0.259, 0.020), (0.199, 0.076), (0.297, 0.082), 
                  (0.735, 0.085), (0.641, 0.104), (0.791, 0.104), (0.681, 0.109), (0.606, 0.132), 
                  (0.262, 0.135), (0.813, 0.137), (0.334, 0.157), (0.565, 0.165), (0.647, 0.170), 
                  (0.876, 0.174), (0.746, 0.186), (0.509, 0.197), (0.398, 0.203), (0.693, 0.207), 
                  (0.829, 0.215), (0.299, 0.226), (0.585, 0.228), (0.549, 0.242), (0.430, 0.242), 
                  (0.637, 0.253), (0.511, 0.257), (0.918, 0.268), (0.813, 0.269), (0.746, 0.271), 
                  (0.336, 0.288), (0.449, 0.297), (0.398, 0.299), (0.783, 0.306), (0.578, 0.312), 
                  (0.871, 0.330), (0.515, 0.345), (0.468, 0.353), (0.818, 0.380), (0.936, 0.391), 
                  (0.889, 0.416), (0.876, 0.503), (1.027, 0.522), (1.040, 0.601), (0.965, 0.656), 
                  (1.130, 0.796), (1.224, 0.845), (1.261, 0.964), (1.378, 1.149)])


obv, oub =obser[:, 0], obser[:, 1]

fig, ax1 = plt.subplots(nrows=1, ncols=1, figsize=(5.31,6.79))
fig.subplots_adjust(left=0.14, bottom=0.08, right=0.95, top=0.97, wspace=0, hspace=0)

shift = (model.mean(axis=0) - obser.mean(axis=0))
sebv = shift[0]
seub = 0.72 * sebv + 0.025 * sebv**2

ax1.invert_yaxis()
ax1.set_xlabel("BmV")
ax1.set_ylabel("UmB")
ax1.set_ylim(2, -1)
ax1.set_xlim(-0.5, 2)
ax1.scatter(obv, oub, s=2, c="k")
gmdl, = ax1.plot(model[:, 0], model[:, 1], linewidth=1.1, c="b")

moveline = MoveGraphLine(ax1, gmdl, model, (sebv, seub))

plt.show()

---

从matplotlib文档中，我知道这些示例，一次只能拖动和移动一个点。我想一次拖动并移动整条线，而不是它的点。是的，对不起，我没有时间在这里提供完整的答案。关键是，一旦您了解了这些示例的工作原理，就可以轻松地移动您想要的任何东西。