import pandas as pd
import numpy as np

import matplotlib.pyplot as plt

n_dates = 52 * 3
dates = pd.date_range("2022-01-01", periods=n_dates, freq="W-MON")

seed = sum(map(ord, "Order matters"))
rng = np.random.default_rng(seed)
data = rng.normal(size=n_dates).cumsum()

ser = pd.Series(data, index=dates)
padding = 15

fig, axes = plt.subplots(nrows=2, ncols=2, sharex=False, sharey=True)

def plot_time_series(pandas: bool, ax: plt.Axes): 
    if pandas: 
        ser.plot(ax=ax)
    else: 
        ax.plot(dates, data)

def plot_fill_between(ax: plt.Axes): 
    ax.fill_between(dates, data - padding, data + padding, alpha=0.25)

ax = axes[0, 0]
plot_time_series(pandas=True, ax=ax)
plot_fill_between(ax)
ax.set(title="time-series first", ylabel="pandas.Series.plot")

ax = axes[0, 1]
plot_fill_between(ax)
plot_time_series(pandas=True, ax=ax)
ax.set(title="time-series second")

ax = axes[1, 0]
plot_time_series(pandas=False, ax=ax)
plot_fill_between(ax)
ax.set(title="", ylabel="plt.plot")

ax = axes[1, 1]
plot_fill_between(ax)
plot_time_series(pandas=False, ax=ax)
ax.set(title="")

plt.show()