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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from datetime import datetime
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# Данные приливов
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ports_data = {
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    "Копенгаген": [
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        ("00:00", 0.04),
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        ("03:00", 0.08),
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        ("06:00", 0.11),
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        ("09:00", 0.08),
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        ("12:00", 0.02),
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        ("15:00", -0.03),
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        ("18:00", 0.00),
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        ("21:00", 0.06),
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    ],
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    "Рённе": [
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        ("00:00", 0.02),
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        ("03:00", 0.04),
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        ("06:00", 0.06),
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        ("09:00", 0.04),
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        ("12:00", 0.01),
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        ("15:00", 0.00),
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        ("18:00", 0.02),
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        ("21:00", 0.04),
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    ],
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    "Лиепая": [
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        ("00:00", 0.05),
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        ("03:00", 0.10),
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        ("06:00", 0.17),
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        ("09:00", 0.10),
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        ("12:00", 0.00),
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        ("15:00", -0.12),
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        ("18:00", -0.05),
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        ("21:00", 0.05),
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    ],
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}
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# Построение графиков
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fig, axs = plt.subplots(3, 1, figsize=(10, 12), sharex=True)
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fig.suptitle('График приливов на 15.07.2024', fontsize=16)
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for ax, (port, data) in zip(axs, ports_data.items()):
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    times = [datetime.strptime(t, "%H:%M") for t, _ in data]
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    heights = [h for _, h in data]
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    ax.plot(times, heights, marker='o', label=port)
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    ax.set_title(port)
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    ax.set_ylabel("Высота (м)")
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    ax.grid(True)
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    ax.legend()
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    ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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axs[-1].set_xlabel("Время (часы)")
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plt.tight_layout(rect=[0, 0, 1, 0.96])
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plt.savefig("graph_tides_15_07_2024.png", dpi=300)  # Сохраняем график
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plt.show()