Time Series Analysis, Exploratory Data Analysis, Feature Engineering, Energy Consumption, Data Science.
also suggest if and how weekly consumptions are changing over a single year. Let’s see how to figure it out with Python: # Defining colors palette np.random.seed(42) df_plot = df[['month', 'day_str', 'PJME_MW', 'day']].dropna().groupby(['day_str', 'month', 'day']).mean()[['PJME_MW']].reset_index()