lightkurve.LightCurve.read

classmethod LightCurve.read(filename, time_column=None, time_format=None, time_scale=None, format=None, *args, **kwargs)

Read and parse a file and returns a astropy.timeseries.TimeSeries.

This method uses the unified I/O infrastructure in Astropy which makes it easy to define readers/writers for various classes (https://docs.astropy.org/en/stable/io/unified.html). By default, this method will try and use readers defined specifically for the astropy.timeseries.TimeSeries class - however, it is also possible to use the format keyword to specify formats defined for the astropy.table.Table class - in this case, you will need to also provide the column names for column containing the start times for the bins, as well as other column names (see the Parameters section below for details):

>>> from astropy.timeseries import TimeSeries
>>> ts = TimeSeries.read('sampled.dat', format='ascii.ecsv',
...                      time_column='date')  

Parameters

filenamestr

File to parse.

formatstr

File format specifier.

time_columnstr, optional

The name of the time column.

time_formatstr, optional

The time format for the time column.

time_scalestr, optional

The time scale for the time column.

*argstuple, optional

Positional arguments passed through to the data reader.

**kwargsdict, optional

Keyword arguments passed through to the data reader.

Returns

outastropy.timeseries.sampled.TimeSeries

TimeSeries corresponding to file contents.

Notes

The available built-in formats are:

Format	Read	Write	Auto-identify
cdips	Yes	No	No
everest	Yes	No	No
k2sff	Yes	No	No
kepler	Yes	No	No
kepseismic	Yes	No	No
pathos	Yes	No	No
qlp	Yes	No	No
tasoc	Yes	No	No
tess	Yes	No	No

lightkurve.LightCurve.to_table lightkurve.LightCurve.write