#!/usr/bin/python
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime


def main():
    # Sample data
    epoch_times = [1696000000, 1696086400, 1696172800, 1696259200]  # Epoch seconds
    y_values = [10, 20, 15, 25]  # Some y-axis values

    # Convert epoch times to datetime objects
    dates = [datetime.datetime.fromtimestamp(ts) for ts in epoch_times]

    # Create the plot
    fig, ax = plt.subplots()
    ax.plot(dates, y_values, marker='o', linestyle='-')

    # Format the x-axis as date
    # ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d\n%H:%M:%S'))  # Customize as needed
    ax.xaxis.set_major_locator(mdates.AutoDateLocator())  # Automatically adjusts for readability
    ax.xaxis.set_major_formatter(
        mdates.ConciseDateFormatter(ax.xaxis.get_major_locator()))

    # Rotate date labels for better visibility
    plt.xticks(rotation=45)

    # Labels and title
    plt.xlabel("Date & Time")
    plt.ylabel("Values")
    plt.title("Epoch to Human Readable Time Plot")

    # Show the plot
    plt.show()


if __name__ == '__main__':
    main()