Polar Chart

Goal

Circular visualization of monthly energy demand, providing an intuitive view of the annual cycle.

Data Basis

Monthly energy consumption data (seasonal_monthly.csv) bundled with the pyedautils package. 10 years of monthly values.

Data Preparation

import pandas as pd
from importlib import resources

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

	timestamp	value
0	2010-01-01	19.000000
1	2010-02-01	19.642857
2	2010-03-01	17.032258
3	2010-04-01	8.633333
4	2010-05-01	0.870968

Visualization

from pyedautils.plots import plot_seasonal_polar

fig = plot_seasonal_polar(
    data=df,
    title="Seasonal Polar (10 Years)",
    ylab="Mean daily energy [kWh/d]",
)
fig.show()