代码拉取完成,页面将自动刷新
import matplotlib.pyplot as plt
from datetime import datetime
# 第一组数据的时间点
time1 = [
datetime(2024, 6, 25, 10, 0),
datetime(2024, 6, 25, 11, 0),
datetime(2024, 6, 25, 12, 0),
datetime(2024, 6, 25, 13, 0),
datetime(2024, 6, 25, 14, 0)
]
# 第二组数据的时间点
time2 = [
datetime(2024, 6, 25, 10, 5),
datetime(2024, 6, 25, 11, 10),
datetime(2024, 6, 25, 12, 5),
datetime(2024, 6, 25, 13, 10),
datetime(2024, 6, 25, 14, 2)
]
# 第三组数据的时间点
time3 = [
datetime(2024, 6, 25, 9, 45), # 起点稍早于第一组
datetime(2024, 6, 25, 10, 45),
datetime(2024, 6, 25, 11, 45),
datetime(2024, 6, 25, 12, 45),
datetime(2024, 6, 25, 13, 45)
]
# 第四组数据的时间点
time4 = [
datetime(2024, 6, 25, 10, 10), # 起点介于第一二组之间
datetime(2024, 6, 25, 11, 20),
datetime(2024, 6, 25, 12, 10),
datetime(2024, 6, 25, 13, 20),
datetime(2024, 6, 25, 14, 30)
]
# 对应的值
values1 = [2, 3, 5, 7, 11]
values2 = [1, 4, 6, 8, 10]
values3 = [3, 2, 4, 6, 8]
values4 = [5, 7, 9, 11, 13]
# 将时间转换为相对于各自起点的时间差(秒)
time1_relative = [(t - time1[0]).total_seconds() for t in time1]
time2_relative = [(t - time2[0]).total_seconds() for t in time2]
time3_relative = [(t - time3[0]).total_seconds() for t in time3]
time4_relative = [(t - time4[0]).total_seconds() for t in time4]
# 绘制四组数据的曲线图
plt.plot(time1_relative, values1, label='Data Set 1', marker='o')
plt.plot(time2_relative, values2, label='Data Set 2', linestyle='--', marker='s')
plt.plot(time3_relative, values3, label='Data Set 3', linestyle='-.', marker='^')
plt.plot(time4_relative, values4, label='Data Set 4', linestyle=':', marker='x')
# 设置图例
plt.legend()
# 设置图表标题和坐标轴标签
plt.title('Comparison of Four Data Sets Starting from Different Points')
plt.xlabel('Time (seconds)')
plt.ylabel('Value')
# 显示网格
plt.grid(True)
# 显示图表
plt.show()
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。