我需要帮助在 Excel 中使用 Python 中的 pandas 进行连接。我需要在 dataFrame 的前两行中添加当前日期和标题，然后我想要新的 dataFrame 和新的列...

我需要帮助在 Excel 中使用 Python 中的 pandas 进行连接。我需要在 dataFrame 的前两行中添加当前日期和标题，然后我想要新的 dataFrame 和新的列来存储我的测量值。

尝试：df = pd.read_excel（file_path）除外 FileNotFoundError：df1_ = {'日期'：[datetime.now（）。strftime（'％Y-％m-％d'），无]，'标题'：[\'MST \'，无]} df1 = pd.DataFrame（data = df1_）df2 = pd.DataFrame（columns = [\'序列号\'，\'模式\'，\'条件\'，\'传感器 1 [％] \'，\'传感器 2 [％] \'，\'传感器 3 [％] \']）df = pd.concat（[df1，df2]，ignore_index = True）#df = pd.DataFrame（columns = [\'序列号\'，\'模式\'，\'条件\'，\'传感器 1 [%]\', \'传感器 2 [%]\', \'传感器 3 [%]\'])

        # Extract only new measurements for the current serial number
        if current_serial_number in self.measurements:
            all_data = []
            existing_rows = df[df["Serial Number"] == current_serial_number]
            
            measurements = self.measurements[current_serial_number]
            
            for measurement in measurements:
                # Check if this specific measurement is already in the file
                if not ((existing_rows["Mode"] == measurement["Mode"]) & 
                        (existing_rows["Condition"] == measurement["Condition"]) & 
                        (existing_rows["Sensor 1 [%]"] == measurement["Sensor 1"]) & 
                        (existing_rows["Sensor 2 [%]"] == measurement["Sensor 2"]) & 
                        (existing_rows["Sensor 3 [%]"] == measurement["Sensor 3"])).any():
                    all_data.append({
                        "Serial Number": current_serial_number,
                        "Mode": measurement["Mode"],
                        "Condition": measurement["Condition"],
                        "Sensor 1 [%]": measurement["Sensor 1"],
                        "Sensor 2 [%]": measurement["Sensor 2"],
                        "Sensor 3 [%]": measurement["Sensor 3"],
                    })
            
            #if all_data:
                # Also add the max voltage row if it's new
            max_voltage_row = {
                    "Serial Number": current_serial_number,
                    "Mode": "Max Voltages",
                    "Condition": "Voltage",
                    "Sensor 1 [%]": measurements[-1]["Max Voltage 1"],
                    "Sensor 2 [%]": measurements[-1]["Max Voltage 2"],
                    "Sensor 3 [%]": measurements[-1]["Max Voltage 3"]
            }
            all_data.append(max_voltage_row)

            if self.pwt_flag:
                min_curr_row = {
                        "Serial Number": current_serial_number,
                        "Mode": "Minimal Current [A]",
                        "Condition": self.min_value
                }
                all_data.append(min_curr_row) 

                max_curr_row = {
                        "Serial Number": current_serial_number,
                        "Mode": "Maximal Current [A]",
                        "Condition": self.max_value             
                }
                all_data.append(max_curr_row)
                
            if all_data:
                new_data_df = pd.DataFrame(all_data)
                df = pd.concat([df, new_data_df], ignore_index=True)
                df.to_excel(file_path, index=False)