Overlaid Profiles

Goal

Overlay all individual daily electricity consumption profiles. Hovering highlights the entire day-line in orange for comparison.

Data Basis

Electricity data (ele_meter.csv) bundled with the pyedautils package: the mean electric power of a household in W per 15-minute interval (the 15-minute consumption in Wh × 4), for 2015.

Data Preparation

import pandas as pd
from importlib import resources

data_path = resources.files("pyedautils") / "data" / "ele_meter.csv"
df = pd.read_csv(data_path, sep=";")
df.head()

	timestamp	value
0	2015-01-01 00:00:00	40.0
1	2015-01-01 00:15:00	32.0
2	2015-01-01 00:30:00	32.0
3	2015-01-01 00:45:00	34.0
4	2015-01-01 01:00:00	34.0

Visualization

Note: The method="overlayed" option returns an HTML string instead of a Plotly Figure.

from pyedautils.plots import plot_daily_profiles
from IPython.display import HTML

html = plot_daily_profiles(
    data=df,
    method="overlayed",
    title="Electricity - Overlaid Daily Profiles",
    ylab="Power [W]",
)
HTML(html)