Reference/API

astropy.timeseries Package

This subpackage contains classes and functions for work with time series.

Functions

aggregate_downsample(time_series, *[, ...])	Downsample a time series by binning values into bins with a fixed size or custom sizes, using a single function to combine the values in the bin.
autocheck_required_columns(cls)	This is a decorator that ensures that the table contains specific methods indicated by the _required_columns attribute.

Classes

BasePeriodogram(t, y[, dy])
BaseTimeSeries([data, masked, names, dtype, ...])
BinnedTimeSeries([data, time_bin_start, ...])	A class to represent binned time series data in tabular form.
BoxLeastSquares(t, y[, dy])	Compute the box least squares periodogram.
BoxLeastSquaresResults(*args)	The results of a BoxLeastSquares search.
LombScargle(t, y[, dy, fit_mean, ...])	Compute the Lomb-Scargle Periodogram.
LombScargleMultiband(t, y, bands[, dy, ...])	Compute the Lomb-Scargle Periodogram.
TimeSeries([data, time, time_start, ...])	A class to represent time series data in tabular form.

Class Inheritance Diagram

astropy.timeseries.io Package

Functions

kepler_fits_reader(filename[, unit_parse_strict])

This serves as the FITS reader for KEPLER or TESS files within astropy-timeseries.