This page was generated from
docs/Examples/File_Formats/Extracting_HORIBA_MEtadata.ipynb.
Interactive online version:
.
[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
100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 37.35it/s]
[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 |