text: from pandas.plotting import autocorrelation_plot
  import matplotlib.pyplot as plt
  import os
  import csv
  from ts_analysis.timeseries import Timeseries
  
  
  def plot_autocorrelation(file_name: str, output_folder: str, normalize=True, **kwargs):
      with open(file_name, "r") as f:
          reader = csv.reader(f)
          for row in reader:
              firestorm_name = row[0]
              print(firestorm_name)
              firestorm_ts = Timeseries(row[1:])
              autocorrelation_plot(firestorm_ts.y)
              plt.acorr(firestorm_ts.y, maxlags=10)
              plt.show()
              break
  
  
  if __name__ == "__main__":
      # Plotting quantity
      input_file = os.getcwd() + "/data/firestorm_quantities.csv"
      output_folder_name = os.getcwd() + "/plots/firestorm_overviews/quant_over_time"
      plot_autocorrelation(
          input_file,
          output_folder_name,
      )
  