manual_check.py

def ADF_test (self, series):    
        
        adf = adfuller(series)    
        print('ADF test')
        print("\tADF Statistic: {}\n".format (adf[0])) 
        print("\tp-value: {}\n".format (adf[1]))  #Since the p-value is far from 0.05 it not stationary
        print ("\tCritical values : \n")
        for key, value in adf[4].items():
            print("\t\t{} : {}\n".format(key, value))

        if (adf[1] < 0.05):
            print('Reject the null hypothesis')
            print('Series is Stationary')
        else:
            print('Failed to reject the null hypothesis')
            print('Series is Non-Stationary')
        
        return adf

    def hodrick_prescott(self, series, lamb = 6.25):
        
        df = series.to_frame()
        cycle, trend = hpfilter(series, lamb= lamb)
        df['cycle'], df['trend'] = cycle, trend
        return df    
    
    '''Helper Fuctions for Seasonal Decomposition'''
    def ets_Decomposition_multiplicative(self, series):
        
        result = seasonal_decompose(series, model = 'multiplicative')
        return result