Time Series Analysis, Exploratory Data Analysis, Feature Engineering, Energy Consumption, Data Science.
'PJME_MW']].dropna().groupby(['month', 'year']).mean()[['PJME_MW']].reset_index() years = df_plot['year'].unique() colors = np.random.choice(list(mpl.colors.XKCD_COLORS.keys()), len(years), replace=False) # Plot plt.figure(figsize=(16,12)) for i, y in enumerate(years): if i > 0: plt.plot('month',