I am working on machine learning modeling in Python in Databricks. My task is to predict coffee prices, and I am using ARIMA for this.

At various points in my notebook, warnings like this appear in the output:

warnings

The code snippet that generated this output is as follows:

def test_stationarity(timeseries):
    rolmean = timeseries.rolling(window=12).mean()
    rolstd = timeseries.rolling(window=12).std()

    # Dickey-Fuller test
    print('Resultados do Teste Dickey-Fuller:')
    dftest = adfuller(timeseries, autolag='AIC')
    dfoutput = pd.Series(dftest[0:4], index=['Estatística ADF', 'Valor-p', '#Lags Usados', 'Número de Observações Usadas'])
    for key, value in dftest[4].items():
        dfoutput[f'Valor Crítico ({key})'] = value
    print(dfoutput)

I am already using warnings.filterwarnings('ignore') and I also tried using warnings.filterwarnings("ignore", category=UserWarning, module="ipykernel"). But the warnings continue to appear. Is it possible to exclude or hide them?