Automatic label generation in plot_scan_sequence from counter or motor position

[AvonReppert]

It would be very useful to have the option of an automatic generation of the graph labels from a pre-selected motor position (i.e. "fluence", "theta", "energy") or a selected counter (i.e. "T_sample") instead of passing the plot labels manually as it is done in this example:

scanSequence = [
        # scan list   ,  parameters
        [[491]        , '50 K'], 
        [[505]        , '70 K'],        
        [[518]        , '75 K'],
        [[520]        , '80 K'],
        [[521]        , '110 K'],   
        [[522]        , '130 K'],   
    ]    
plt.figure()

s.plot_scan_sequence(scanSequence,title_text =r"XMCD Dy40   on resonance  1295 eV $8\,\mathrm{\frac{mJ}{\,cm^2}}$",
                     sequence_type = "text", xtext = "t (ps)", ytext ="raw XMCD",
                     xlims=[tMin, tMax], ylims = [0,1])

[AvonReppert]

The following semi-automatic label creation here works for me as a quick fix:

scanArray       = np.arange(418,435,1)
scanSequence = [ ]

for i, scan in enumerate(scanArray):
        data, meta = spec.get_scan_data(scan)
        t  = float(meta['init_mopo']["Delay"])-t0
        scanSequence.append([[scan], str(int(t)+ r'$\,$ps'])
        
plt.figure()
s.plot_scan_sequence(scanSequence, xtext=r'$q_\mathrm{z} \,\,\left(\AA^{-1}\right)$', fmt='-o',
                    binning=False, title_text="t-series 100 K 2.4mJ/cm² off resonace", grid_on=True,
                   ytext='Intensity',sequence_type = "text")
plt.show()

[dschick]

Thanks a lot for the idea and the initial implementation.
You are very welcome to draft a PR.
Otherwise I will try to implement it in one of the future versions.