import matplotlib.pyplot as plt
import numpy as np

# 定义时间点和对应的数据
time_points = ['00:00:00', '01:00:00', '02:00:00', '03:00:00', '04:00:00', '05:00:00',
               '06:00:00', '07:00:00', '08:00:00', '09:00:00', '10:00:00', '11:00:00', '00:00:00', '01:00:00',
               '02:00:00', '03:00:00', '04:00:00', '05:00:00',
               '06:00:00', '07:00:00', '08:00:00', '09:00:00', '10:00:00', '11:00:00']
data = [5, 10, 8, 4, 25, 12, 6, 22, 17, 23, 9, 55, 5, 10, 8, 4, 25, 12, 6, 22, 17, 23, 9, 55]

# 创建图形和轴
fig, ax = plt.subplots(figsize=(10, 6))

# 计算时间点的中点位置
time_positions = np.arange(len(time_points)) + 0.5

# 绘制折线图，数据点落在时间区间的中点位置
ax.plot(time_positions, data, marker='o')

# 设置图形标题和轴标签
ax.set_title('Interval Line Plot from 00:00 to 12:00')
ax.set_xlabel('Time Intervals')
ax.set_ylabel('Data')

# # 设置 x 轴刻度和标签
# ax.set_xticks(np.arange(len(time_points)))
# ax.set_xticklabels(time_points, rotation=45)
num_ticks = round(len(time_points) // 8)
# num_ticks = int(num_ticks)
# 设置 x 轴刻度和标签，每隔 2 个时间点显示一个标签
ax.set_xticks(time_positions[::num_ticks])
ax.set_xticklabels(time_points[::num_ticks], rotation=0)
max_value = ((max(data) + 10) // 10 + 1) * 10
ax.set_ylim(0, max_value)
# 显示图形
plt.tight_layout()
plt.show()

# import psutil
#
# # 获取所有磁盘分区信息
# partitions = psutil.disk_partitions()
#
# for partition in partitions:
#     try:
#         partition_usage = psutil.disk_usage(partition.mountpoint)
#     except PermissionError:
#         # 可能会出现权限错误，忽略这些错误
#         continue
#
#     print(f"盘符: {partition.device}")
#     print(f"挂载点: {partition.mountpoint}")
#     print(f"文件系统类型: {partition.fstype}")
#     print(f"总大小: {partition_usage.total / (1024**3):.2f} GB")
#     print(f"已用大小: {partition_usage.used / (1024**3):.2f} GB")
#     print(f"剩余大小: {partition_usage.free / (1024**3):.2f} GB")
#     print(f"使用百分比: {partition_usage.percent}%")
#     print("-" * 40)