Input/Output

Note

This library currently supports pandas.DataFrame objects, and fits, excel, csv and json file types. Further developments would involve adding support for light curves from lightkurve. Stay tuned for updates!

Tris offers a very simple wrapper to read your files into proper pandas.DataFrame objects that can be fed into subsequent algorithms. Literally, it's as simple as just:

>>> tris.read("data/combined/kplr001026032.fits")
            time          flux
0     131.512714  12319.001953
1     131.533148  12321.861328
2     131.553583  12317.918945
3     131.574017  12307.453125
4     131.594452  12308.416992
...          ...           ...
1619  164.902637  12541.321289
1620  164.923071  12549.753906
1621  164.943505  12551.208008
1622  164.963939  12547.056641
1623  164.984374  12547.208008

[1624 rows x 2 columns]

The data reading algorithm for Tris is quite simple, and there are specific functions available for different formats. The read_csv, read_json, read_fits and read_excel functions help us read the