Time Series Analysis, Exploratory Data Analysis, Feature Engineering, Energy Consumption, Data Science.
df_plot = df_plot.sort_values(by='day', ascending=True) months = df_plot['month'].unique() colors = np.random.choice(list(mpl.colors.XKCD_COLORS.keys()), len(months), replace=False) # Plot plt.figure(figsize=(16,12)) for i, y in enumerate(months): if i > 0: plt.plot('day_str', 'PJME_MW',