Can you please provide this part of your code Because here in example we use 'EST' in dataframe and see the same on the graph

from datetime import datetime, timedelta

import pytz
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

pd.set_option("display.max_columns", None)
pd.set_option("display.width", None)

def create_sample_data():
    est = pytz.timezone('EST')
    start_date = est.localize(datetime(2024, 1, 1, 9, 0, 0))
    dates = [start_date + timedelta(hours=i) for i in range(100)]

    data = pd.DataFrame({
        "Datetime": dates,
        'Open': np.random.randn(100).cumsum() + 100,
        'High': np.random.randn(100).cumsum() + 102,
        'Low': np.random.randn(100).cumsum() + 98,
        'Close': np.random.randn(100).cumsum() + 100,
        'Volume': np.random.randint(1000, 10000, 100)

    })

    data.set_index('Datetime', inplace=True)

    return data


if __name__ == '__main__':
    df = create_sample_data()
    print(df.head())
    df["Open"].plot()
    plt.show()

                                 Open        High        Low       Close  Volume
Datetime                                                                        
2024-01-01 09:00:00-05:00  100.112783  102.718745  97.327823  100.718963    4473
2024-01-01 10:00:00-05:00  101.082608  104.173274  96.920105  101.971678    8605
2024-01-01 11:00:00-05:00  103.168035  105.240899  95.465495  103.051083    9213
2024-01-01 12:00:00-05:00  103.517523  104.591967  95.903017  101.958344    7818
2024-01-01 13:00:00-05:00  102.138308  105.277195  96.024361  100.904891    1400