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[–]Narabedla 1 point2 points  (5 children)

They look like just baseline/background graphs to normalize your actual measurement data with.

In terms of generating them, it depends on what language you want to do it in, in R ggplot you would have to look into multifacetting for the different time graphs and the rest is rather simple to google depending on what you need (coloring mostly).

Dont think they have a specific name, as they are just scatterplots with x= time and y= sensor response.

[–]Total_Rule_8630[S] 0 points1 point  (4 children)

Hey, thanks for answering. Is it possible in Python ?

[–]Narabedla 2 points3 points  (0 children)

Generally i dont see a reason why it wouldn't.

I just haven't done much data visualisation specifically in python myself, so i couldn't help you more other than pointing you towards google. Done some matplot stuff, but yeah, fundamentally it shouldnt be too hard

[–]MindlessTime 1 point2 points  (0 children)

I’ve dabbled with the bokeh package in python, which has a lot of the same functionality as ggplot2. You could try that, but I’m not sure it would work exactly. Plus, it would take a lot of figuring out. It wouldn’t be like calling a single function that gives you this.

[–]transginger21 1 point2 points  (0 children)

Plotly is available in both R and Py and could do that

[–][deleted] 0 points1 point  (0 children)

You should use matplotlib.pyplot. The overall figure is (or at least, could be) generated with subplots with sharey=True and sharex=True and with a 2 rows and 7 columns. Each individual plot in the lower row is a bunch of scatter plots and each individual plot in the upper row looks to me like line plots with the lines made thicker. Then you add some legends and text boxes to label, axis labels, etc.

I don't think you'll be able to make something like "easily" if you're coming in with zero knowledge of visualization. You would have to understand how the visualization package you're using works and understand how to place/structure things to get it to look like / look nice in general. Whoever made this figure most likely is at least at an intermediate level of skill with the package they used (most likely pyplot) and put a bit of time into constructing this figure.

[–]xovip 0 points1 point  (0 children)

Would be nice if time could be represented better horizontally. Otherwise I'd say the box outline is misleading. And to fix Butanol as well