–> Testfile

from sklearn.metrics import cohen_kappa_score
import pandas as pd

DF = pd.read_excel('CohensKappa.xlsx')
def LandisKoch1977(val):
    if val > 0.8:
        print("almost perfect")
    elif 0.61 <= val <= 0.8:
        print("substantial")
    elif 0.41 <= val <= 0.6:
        print("moderate")
    elif 0.21 <= val <= 0.4:
        print("fair")
    else: 
        print("slight")
rater1 = DF.loc[:,"Rater 1"].tolist()
rater2 = DF.loc[:,"Rater 2"].tolist()
LandisKoch1977(cohen_kappa_score(rater1, rater2))