code: import numpy as np
  import platform
  
  if platform.system() == 'Windows':
      import pandas as pd
  else:
      import modin.pandas as pd
  
  import matplotlib.pyplot as plt
  
  import sys
  sys.path.append("..")  # Adds higher directory to python modules path.
  from ta import *
  
  # Load data
  df = pd.read_csv('../data/datas.csv', sep=',')
  df = utils.dropna(df)
  
  # Add all ta features filling nans values
  df = add_all_ta_features(df, "Open", "High", "Low", "Close", "Volume_BTC",
                           fillna=True)
  
  plt.plot(df[40700:41000].Close)
  plt.plot(df[40700:41000].volatility_bbh, label='High BB')
  plt.plot(df[40700:41000].volatility_bbl, label='Low BB')
  plt.plot(df[40700:41000].volatility_bbm, label='EMA BB')
  plt.title('Bollinger Bands')
  plt.legend()
  plt.savefig("bb.png")
  
apis: matplotlib.pyplot.title matplotlib.pyplot.plot matplotlib.pyplot.legend matplotlib.pyplot.savefig