使用Excel VBA进行电子邮件发送

Question

我需要向供应商电子邮件列表发送两个附件和一个分数，我目前正在使用此代码。如您所见，我使用邮件正文中列A上的信息。 cell.Offset（0，-1）.Value 我想在文本正文中包含10列带有文本数据的列。有人可以帮我吗？

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np

class DraggableScatter():

    epsilon = 5

    def __init__(self, scatter):
        self.scatter = scatter
        self._ind = None
        self.ax = scatter.axes
        self.canvas = self.ax.figure.canvas
        self.canvas.mpl_connect('button_press_event', self.button_press_callback)
        self.canvas.mpl_connect('button_release_event', self.button_release_callback)
        self.canvas.mpl_connect('motion_notify_event', self.motion_notify_callback)


    def get_ind_under_point(self, event):   
        xy = np.asarray(self.scatter.get_offsets())
        xyt = self.ax.transData.transform(xy)
        xt, yt = xyt[:, 0], xyt[:, 1]

        d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2)
        ind = d.argmin()

        if d[ind] >= self.epsilon:
            ind = None

        return ind

    def button_press_callback(self, event):
        if event.inaxes is None:
            return
        if event.button != 1:
            return
        self._ind = self.get_ind_under_point(event)

    def button_release_callback(self, event):
        if event.button != 1:
            return
        self._ind = None

    def motion_notify_callback(self, event):
        if self._ind is None:
            return
        if event.inaxes is None:
            return
        if event.button != 1:
            return
        x, y = event.xdata, event.ydata
        xy = np.asarray(self.scatter.get_offsets())
        xy[self._ind] = np.array([x, y])        
        self.scatter.set_offsets(xy)
        self.canvas.draw_idle()


fig, ax = plt.subplots(1, 1)
scatter = ax.scatter(np.random.rand(10), np.random.rand(10), marker ='o')
ds = DraggableScatter(scatter)

def init():
    ax.set_xlim(0, 1)
    ax.set_ylim(0, 1)
    return ds.scatter,

def update(frame, ds):
    x, y = np.random.rand(10), np.random.rand(10)
    ds.scatter.set_offsets(np.column_stack([x, y]))
    return ds.scatter,

ani = FuncAnimation(fig=fig, func=update, init_func=init, fargs=[ds], blit=True, 
                    interval=5000)
plt.show()