我想在接收串口数据并写入数据这个方法里，同时进行折线图绘制串口数据，方法为： def writ_excel(self, TIME): uart_r = self.uart_r received_bytes_list = [] start_time = time.time() while (time.time() - start_time <= 40): read_byte = uart_r.read(1) if read_byte != b'': print(".", end="") received_bytes_list.append(read_byte.decode()) if len(received_bytes_list) == 0: print("Warning: timeout!") else: print("Received data successfully!") # Save to Excel file received_bytes = ''.join(received_bytes_list) received_data = received_bytes.split() received_data_8 = [received_data[i: i + 8] for i in range(0, len(received_data), 8)] df = pd.DataFrame(columns=['0', '1', '2', '3', '4', '5', '6', '7']) for i, str in enumerate(received_data_8): print("Write to excel line:", i, str) if (len(str) < 8): print("Populate data.") str += [0] * (8 - len(str)) df.loc[i] = str df.to_excel('%s.xlsx' % TIME)

好的，您可以在这个方法中添加绘制折线图的代码。具体来说，您需要在方法开始时创建一个Matplotlib图形窗口和坐标轴对象，然后在每次接收到数据后更新折线图。下面是一个示例代码：

import matplotlib.pyplot as plt
import pandas as pd

def writ_excel(self, TIME):
    uart_r = self.uart_r
    received_bytes_list = []
    start_time = time.time()

    # 创建Matplotlib图形窗口和坐标轴对象
    fig, ax = plt.subplots()
    line, = ax.plot([], [])

    ax.set_xlim(0, 100)
    ax.set_ylim(0, 1024)
    ax.set_title('Real-time data')

    xdata, ydata = [], []

    while (time.time() - start_time <= 40):
        read_byte = uart_r.read(1)
        if read_byte != b'':
            print(".", end="")
            received_bytes_list.append(read_byte.decode())

            # 更新折线图
            data = ''.join(received_bytes_list).strip()
            if data:
                x, y = data.split(',')
                xdata.append(int(x))
                ydata.append(int(y))
                line.set_data(xdata, ydata)
                ax.relim()
                ax.autoscale_view()
                fig.canvas.draw()

        if len(received_bytes_list) == 0:
            print("Warning: timeout!")
        else:
            print("Received data successfully!")

    # 保存数据到Excel文件
    received_bytes = ''.join(received_bytes_list)
    received_data = received_bytes.split()
    received_data_8 = [received_data[i: i + 8] for i in range(0, len(received_data), 8)]
    
    df = pd.DataFrame(columns=['0', '1', '2', '3', '4', '5', '6', '7'])
    
    for i, str in enumerate(received_data_8):
        print("Write to excel line:", i, str)
        if (len(str) < 8):
            print("Populate data.")
            str += [0] * (8 - len(str))
        df.loc[i] = str
    
    df.to_excel('%s.xlsx' % TIME)

在这个示例代码中，我们首先在方法开始时创建了Matplotlib图形窗口和坐标轴对象。然后，在每次接收到数据时，我们更新了数据列表，并解析接收到的数据并更新折线图。最后，我们在保存数据到Excel文件之前，将数据存储在DataFrame对象中。

请注意，这只是一个示例代码，您需要根据您的具体需求进行修改和扩展。