在 Python 中绘制不规则采样数据点
我有数据样本，有一个大小，以及相关的时间和时间。取样日期。
我想随时间绘制这些数据点，但希望数据点间隔与采样时间成比例。
本质上，我有一个人每天在不一致的时间段内进行不同数量的读数。
关于如何创建这个时间情节有什么想法吗？
Example Data:
Mag : Time , Date
4.0 in : 11:12:02 , 11/11/21
4.3 in : 13:27:01 , 11/11/21
7.5 in : 14:01:45 , 11/11/21
2.1 in : 01:27:54 , 11/13/21
1.4 in : 16:32:41, 11/13/21
0.7 in : 14:12:09, 11/14/21
0.8 in : 14:12:13, 11/14/21
我想采样并保持（直到下一个数据点），或者（最好）如果可能的话，用线性线连接迹线的每个点，并应用平滑函数，这样线图中就没有突然的特征。
一旦我绘制了这个图，我还想可能重新采样和/或积分曲线下的面积......但这可能是另一天的任务。
谢谢！
I have data samples, that have a magnitude, with an associated time & date of when the sample was taken.
I would like to plot these datapoints over time, but would like the datapoints spaced, proportionally to the time they were sampled.
Essentially I have a person that is taking various numbers of readings per day, at inconsistent time periods.
Any ideas on how to create this time plot?
Example Data:
Mag : Time , Date
4.0 in : 11:12:02 , 11/11/21
4.3 in : 13:27:01 , 11/11/21
7.5 in : 14:01:45 , 11/11/21
2.1 in : 01:27:54 , 11/13/21
1.4 in : 16:32:41, 11/13/21
0.7 in : 14:12:09, 11/14/21
0.8 in : 14:12:13, 11/14/21
I would like to either sample and hold (til next datapoint), or (preferably) if possible, connect each point of the trace with a linear line, and apply a smoothing function, so there are no abrupt features in the line plot.
Once I get this plotted, I would also like to possibly resample and/or integrate the area under the curve... but that can be a task for another day.
Thanks!
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