text: import pandas as pd
  from ck_wrapper import CorrelationKit
  
  # set a dataframe or read from a csv file
  d = {'x': ['large', 'large', 'small', 'small'], 'y': ['hot', 'hot', 'cold', 'cold'],'z':[0,1,2.5,3]}
  df = pd.DataFrame(data=d)
  
  # set x label and y label for correlation, which is suitable for binary variables
  r_p,r_s,r_k=CorrelationKit(df).get_corr_between_category_and_continual('x','large','z') # large=1; otherewise 0
  
  # results
  print('pearson: ',r_p)
  print('speraman: ',r_s)
  print('kendalltau: ',r_k)
  