Density Plot by Season

A kernel density estimate of a measured value (e.g. room temperature), split by season. This reveals how the distribution shifts between seasons.

The plot is interactive — hover to see exact values.

import plotly.io as pio
pio.renderers.default = "notebook_connected"

import pandas as pd
from importlib import resources

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

	timestamp	value
0	2018-10-03 00:00:00	24.43
1	2018-10-03 01:00:00	24.40
2	2018-10-03 02:00:00	24.40
3	2018-10-03 03:00:00	24.40
4	2018-10-03 04:00:00	24.40

from pyedautils.plots import plot_density_seasons

fig = plot_density_seasons(
    data=df,
    title="Room Temperature Density by Season",
    xlab="Temperature (°C)",
)
fig.show()