Time Series Analysis, Data Science, Python, Weather, Statistics.
pd.DataFrame({'trend': result.trend, 'seasonal': result.seasonal, 'resid': result.resid, 'observed': result.observed}) fig, ax = plt.subplots(ncols = 2, nrows = 2,figsize=(16,9)) ax[0,0].plot(df.index, results_df.trend) ax[0,0].set_title('Trend') ax[0,0].set_ylabel('Value') ax[0,1].plot(df.index,