How to summarize multiple time series like dataset I am running an experiment where I am sampling CPU utilization every second.

A snippet of the data from each experiment run is something like this:

timestamp   cpu1  cpu2  cpu3  cpu4        
1.581015e+09    0.0   0.0   0.0   0.0
1.581015e+09   41.6  57.4  54.5  47.0
1.581015e+09   84.3  72.5  46.6  82.8
1.581015e+09    1.0  83.7   1.0   2.0
1.581015e+09   33.0  43.3  44.4  37.8


I am using pandas to explore the data.

To ensure validity of the experiment, I repeat the experiment 20 times.

Now I have 20 of each of the dataset above.

My question now, is what is the best strategy to:


Summarize the data. 
Graph a summary of the data


If I only had one run, I would like to graph the data in a line chat, but now that I have 20, not sure how to proceed.

Find the average at each second across all the 20 dataset? Or is there any recommended approach to handling this?
That depends what you want to show and how much information fits in the graph. Typically you can think of:


Simply using a different colour for every dataset, but 20 is probably too many and that will make the graph hard to read.
Using boxplots (or violin plots) at every instant, where the boxplot represents the 20 values of the dataset.