from statsmodels.tsa.stattools import adfuller
series = dataframe["Sales Revenue2"]
X = series.values
result = adfuller(X)

(-1.3334675205365911,
 0.6137252422831784,
 15,
 267,
 {'1%': -3.4550813975770827,
  '10%': -2.5725712007462582,
  '5%': -2.8724265892710914},
 3623.772858172633)

from statsmodels.tsa.seasonal import seasonal_decompose
 result = seasonal_decompose(dataframe["Sales Revenue2"], model='additive')
 fig = result.plot()
 plt.show()

def difference(dataset, interval=1):
    diff = list()
    for i in range(interval, len(dataset)):
        value = dataset[i] - dataset[i - interval]
        diff.append(value)
    return diff