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Python Notebook Download

[1]:
import numpy as np
import pandas as pd
import DiadFit as pf
[2]:
import os
path=os.getcwd()
[3]:
files=pf.get_files(path=path, file_ext='.txt', ID_str='Horiba')
files
[3]:
['Horiba_file1.txt', 'Horiba_file2.txt']
[4]:
meta=pf.stitch_metadata_in_loop_horiba(AllFiles=files, path=path)
meta
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[4]:
filename spectral_name date Month Day power (mw) Int_time (s) accumulations Mag (X) duration 24hr_time sec since midnight Spectral_Center
0 Horiba_file1.txt g12-mi1 28.03.2022 March 2022-03-28 no data 60.0 5.0 x100 LWD 300.0 19:41:16 70876 1240.03
1 Horiba_file2.txt g12-mi1 28.03.2022 March 2022-03-28 no data 60.0 5.0 x100 LWD 300.0 19:46:10 71170 1240.03