Simple Cary UV-Vis loading

A simple demo of loading Cary UV-Vis data. This example just loads a file and plots all the spectra in a file, without embellishment

Here we have a file called Pure_T177R1a_pR_210615.BSW on our computer. There are three requirements for where this file must be stored:

• It must be stored in a folder called “proteorhodopsin” that’s itself inside a folder called “UV_Vis” (as indicated by the exp_type argument). Typically, this will be achieved by just cloning/syncing the entire “UV_Vis” directory of data shared by your lab on google drive, etc, etc.

• Our pyspecdata config file (~/.pyspecdata on Linux/Mac or ~/_pyspecdata on Windows) must know about this “UV_Vis” directory. If not, you can use the pyspecdata_register_dir command on the command line (see register_directory()).

• The name of the file itself must contain the string “T177R1a_pR_210615” → note that you don’t need to specify the whole file name, just enough for it to be unique.

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Out:

the experiments present in this file are: dict_keys(['1:30 Dilution'])
the experiments present in this file are: dict_keys(['1:30 Dilution'])
the experiments present in this file are: dict_keys(['1:30 Dilution'])
the experiments present in this file are: dict_keys(['1:30 Dilution'])

from pylab import *
from pyspecdata import *

with figlist_var() as fl:
    for this_filename in ['A174', 'Q183', 'V202', 'T177']:
        data = find_file(this_filename,
                exp_type='proteorhodopsin/NP_220209')
        print("the experiments present in this file are:",data.keys())

        for j in data.keys():
            fl.next("raw UV data")
            fl.plot(data[j], label=this_filename+' '+j, alpha=0.5)
            fl.next('normalized by $A_{280}$')
            normalization = data[j][r'$\lambda$':(250,300)].max()
            fl.plot(data[j]/normalization, label=this_filename+' '+j, alpha=0.5)