#1Z7dnzO1 (Python)

# tested in:
# Python 3.6.13 :: Anaconda, Inc.
# matplotlib==3.3.4
# pandas==1.1.5

import matplotlib.pyplot as plt
import numpy as np
from datetime import timedelta, datetime
import pandas as pd


# generate dummy data
dummy_closed = np.random.randint(-100, 101, 10000).cumsum()
stock = pd.DataFrame(dummy_closed, columns=["Close"], index = reversed([datetime.now() - timedelta(days = 1) * i for i in range(10000)]))



fig = plt.figure()
ax = fig.add_subplot(111)

# same as ax.plot(stock["Close"])
stock["Close"].plot(ax = ax)
ax.fill_between(
    stock.index,
    min(stock["Close"]),
    max(stock["Close"]), # or using stock["Close"] to draw area under curve
    where = stock.index >= "2020-01-01",
    alpha = 0.5,
)
# Important, render the xticks before using get_xticklabels
fig.tight_layout()
for l in ax.get_xticklabels():
    # set xticklabel align to center
    l.set_horizontalalignment("center")
fig.tight_layout()
plt.show()