How to plot n-dimensional TimeSeries data object?

Question

I have a spectrometer which is generating time-series data every 100ms. I'd like to analyze/plot this data in Mathematica, but I'm not certain the best way to do it.

It's in this form:

   | 300 | 301 | ... | 700|
0  | y0  | y1  | ... | yn |
100| ... | ... | ... | ...|

I can import the data and extract it just fine

data = Import["testingdata.txt","TSV"];
wavelength = data[[30,3;;]];
unixtime = data[[31;;,2]];
absorbance = data[[31;;,3;;]];

Where the file headers take up rows 1;;29.

Naively using ListPlot to plot absorbance does provide a time series result, but I was wondering if there's a way to create a TimeSeries object to store this multidimensional data (TimeSeries Documentation). Looking at the Docs, it looks like I would have to create a TimeSeries object for each wavelength in my spectrum, which is not ideal. Is there a better way to do this? I see that the TemporalData function is a more generalized version of TimeSeries but it doesn't seem to have support for {t_i,v_i1,v_i2...} data.

Edit 1: Per @Domen's comment, TimeSeries does support arrays:

ts = TimeSeries[Transpose[{unixtime,absorbance}]]

Edit 2: I created a 3D plot showing essentially how I'd like to visualize the data, but I want to condense it down to 2D.

Answer 1

TemporalData is exactly what you need. You just need to put your data in the proper format. Start from separating your time staps:

times = Range[0, 1000, 100];

Then put values as a List of Lists (matrix), for example some made up values:

values = Table[k + RandomReal[1, 11], {k, 5}]

Now your data are constructed as

data = TemporalData[values, {times}]

Alternatively, because your time stamps are regular you could just do:

data = TemporalData[values, {0, 1000, 100}]

Now plot (note, you can also use DateListPlot if your time stamps are in a proper time-unit format):

ListLinePlot[data, PlotTheme -> "Business"]