Combine charts

Since dayplot draws the chart on a matplotlib axes, it's quite easy to combine them.

For this, we need to create a figure with 2 axes (nrows=2 since we want them to be one above the other). Then we plot the year 2024 below and the year 2025 above.

import dayplot as dp
import matplotlib.pyplot as plt

df = dp.load_dataset()

fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(16, 4))

dp.calendar(
    dates=df["dates"],
    values=df["values"],
    start_date="2025-01-01",
    end_date="2025-12-31",
    cmap="Blues",
    ax=ax1, # top axes
)

dp.calendar(
    dates=df["dates"],
    values=df["values"],
    start_date="2024-01-01",
    end_date="2024-12-31",
    cmap="Blues",
    ax=ax2, # bottom axes
)

Year label

It makes sense to add the year associated with each chart, so let's leverage ax.text() to add the years next to each chart.

import dayplot as dp
import matplotlib.pyplot as plt

df = dp.load_dataset()

fig, (ax1, ax2) = plt.subplots(nrows=2, figsize=(16, 4))

dp.calendar(
    dates=df["dates"],
    values=df["values"],
    start_date="2025-01-01",
    end_date="2025-12-31",
    cmap="inferno",
    ax=ax1, # top axes
)

dp.calendar(
    dates=df["dates"],
    values=df["values"],
    start_date="2024-01-01",
    end_date="2024-12-31",
    cmap="inferno",
    ax=ax2, # bottom axes
)

text_args = dict(x=-4, y=3.5, size=30, rotation=90, color="#aaa", va="center")
ax1.text(s="2024", **text_args)
ax2.text(s="2025", **text_args)