input: 
  def data_processing_and_plotting(logfile: str, calib_folder: str) -> None:
      """
      This function processes and plots data based on inputs from a log file and a calibration folder. It performs calibration using 
      functions from eval_spectrum.py and calibration.py. The main function loads the input data, performs necessary calculations, and
      generates plots showing absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power vs wavelength. It
      also calculates thermal resistance and displays it on the plot. To run the code, execute the main function.
  
      >>> data_processing_and_plotting('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6')
      # Expected output: Plot displays showing absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power vs wavelength, with thermal resistance displayed on the plot.
      """
  
output:     import os
      import pandas as pd
      import matplotlib.pyplot as plt
      from eval_spectrum import calibrate_spectrum
      from calibration import calculate_thermal_resistance
  
      # Load log file data
      log_data = pd.read_csv(logfile)
  
      # Load calibration data
      calib_files = [os.path.join(calib_folder, f) for f in os.listdir(calib_folder) if f.endswith('.csv')]
      calib_data = pd.concat([pd.read_csv(f) for f in calib_files])
  
      # Perform calibration
      calibrated_data = calibrate_spectrum(log_data, calib_data)
  
      # Calculate thermal resistance
      thermal_resistance = calculate_thermal_resistance(calibrated_data)
  
      # Plot absorbed power vs emitted power
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['absorbed_power'], calibrated_data['emitted_power'], marker='o')
      plt.xlabel('Absorbed Power')
      plt.ylabel('Emitted Power')
      plt.title('Absorbed Power vs Emitted Power')
      plt.grid(True)
      plt.text(0.1, 0.9, f'Thermal Resistance: {thermal_resistance}', transform=plt.gca().transAxes)
      plt.show()
  
      # Plot absorbed power vs reflectivity
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['absorbed_power'], calibrated_data['reflectivity'], marker='o')
      plt.xlabel('Absorbed Power')
      plt.ylabel('Reflectivity')
      plt.title('Absorbed Power vs Reflectivity')
      plt.grid(True)
      plt.text(0.1, 0.9, f'Thermal Resistance: {thermal_resistance}', transform=plt.gca().transAxes)
      plt.show()
  
      # Plot dissipated power vs wavelength
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['wavelength'], calibrated_data['dissipated_power'], marker='o')
      plt.xlabel('Wavelength')
      plt.ylabel('Dissipated Power')
      plt.title('Dissipated Power vs Wavelength')
      plt.grid(True)
      plt.text(0.1, 0.9, f'Thermal Resistance: {thermal_resistance}', transform=plt.gca().transAxes)
      plt.show()