lightkurve.FoldedLightCurve

class lightkurve.FoldedLightCurve(data=None, *args, time=None, flux=None, flux_err=None, **kwargs)

Subclass of LightCurve in which the time parameter represents phase values.

Compared to the LightCurve base class, this class has extra meta data entries (period, epoch_time, epoch_phase, wrap_phase, normalize_phase), an extra column (time_original), extra properties (phase, odd_mask, even_mask), and implements different plotting defaults.

__init__(data=None, *args, time=None, flux=None, flux_err=None, **kwargs)

Methods

__init__([data, time, flux, flux_err])
add_column(*args, **kwargs)	See add_column().
add_columns(*args, **kwargs)	See add_columns().
add_index(colnames[, engine, unique])	Insert a new index among one or more columns.
add_row([vals, mask])	Add a new row to the end of the table.
append(others[, inplace])	Append one or more other LightCurve object(s) to this one.
argsort([keys, kind, reverse])	Return the indices which would sort the table according to one or more key columns.
as_array([keep_byteorder, names])	Return a new copy of the table in the form of a structured np.ndarray or np.ma.MaskedArray object (as appropriate).
bin([time_bin_size, time_bin_start, ...])	Bins a lightcurve in equally-spaced bins in time.
convert_bytestring_to_unicode()	Convert bytestring columns (dtype.kind='S') to unicode (dtype.kind='U') using UTF-8 encoding.
convert_unicode_to_bytestring()	Convert unicode columns (dtype.kind='U') to bytestring (dtype.kind='S') using UTF-8 encoding.
copy([copy_data])	Return a copy of the table.
create_transit_mask(period, transit_time, ...)	Returns a boolean array that is True during transits and False elsewhere.
errorbar(**kwargs)	Plot the folded light curve using matplotlib's errorbar method.
estimate_cdpp([transit_duration, ...])	Estimate the CDPP noise metric using the Savitzky-Golay (SG) method.
field(item)	Return column[item] for recarray compatibility.
fill_gaps([method])	Fill in gaps in time.
filled([fill_value])	Return copy of self, with masked values filled.
flatten([window_length, polyorder, ...])	Removes the low frequency trend using scipy's Savitzky-Golay filter.
fold([period, epoch_time, epoch_phase, ...])	Returns a FoldedLightCurve object folded on a period and epoch.
from_pandas(df[, time_scale])	Convert a DataFrame to a astropy.timeseries.TimeSeries.
from_stingray(lc)	Create a new LightCurve from a stingray.Lightcurve.
from_timeseries(ts)	Creates a new LightCurve from an AstroPy TimeSeries object.
group_by(keys)	Group this table by the specified keys
head([n])	Return the first n rows.
index_column(name)	Return the positional index of column name.
index_mode(mode)	Return a context manager for an indexing mode.
insert_row(index[, vals, mask])	Add a new row before the given index position in the table.
interact_bls([notebook_url, minimum_period, ...])	Display an interactive Jupyter Notebook widget to find planets.
items()
itercols()	Iterate over the columns of this table.
iterrows(*names)	Iterate over rows of table returning a tuple of values for each row.
keep_columns(names)	Keep only the columns specified (remove the others).
keys()
more([max_lines, max_width, show_name, ...])	Interactively browse table with a paging interface.
normalize([unit])	Returns a normalized version of the light curve.
pformat([max_lines, max_width, show_name, ...])	Return a list of lines for the formatted string representation of
pformat_all([max_lines, max_width, ...])	Return a list of lines for the formatted string representation of
plot(**kwargs)	Plot the folded light curve using matplotlib's plot method.
plot_river(**kwargs)	Plot the folded light curve in a river style.
pprint([max_lines, max_width, show_name, ...])	Print a formatted string representation of the table.
pprint_all([max_lines, max_width, ...])	Print a formatted string representation of the entire table.
query_solar_system_objects([cadence_mask, ...])	Returns a list of asteroids or comets which affected the light curve.
read(filename[, time_column, time_format, ...])	Read and parse a file and returns a astropy.timeseries.TimeSeries.
remove_column(name)	Remove a column from the table.
remove_columns(names)	Remove several columns from the table.
remove_indices(colname)	Remove all indices involving the given column.
remove_nans([column])	Removes cadences where column is a NaN.
remove_outliers([sigma, sigma_lower, ...])	Removes outlier data points using sigma-clipping.
remove_row(index)	Remove a row from the table.
remove_rows(row_specifier)	Remove rows from the table.
rename_column(name, new_name)	Rename a column.
rename_columns(names, new_names)	Rename multiple columns.
replace_column(name, col[, copy])	Replace column name with the new col object.
reverse()	Reverse the row order of table rows.
round([decimals])	Round numeric columns in-place to the specified number of decimals.
scatter(**kwargs)	Plot the folded light curve using matplotlib's scatter method.
search_neighbors([limit, radius])	Search the data archive at MAST for the most nearby light curves.
select_flux(flux_column[, flux_err_column])	Assign a different column to be the flux column.
show_in_browser([max_lines, jsviewer, ...])	Render the table in HTML and show it in a web browser.
show_in_notebook([tableid, css, ...])	Render the table in HTML and show it in the IPython notebook.
show_properties()	Prints a description of all non-callable attributes.
sort([keys, kind, reverse])	Sort the table according to one or more keys.
tail([n])	Return the last n rows.
to_corrector([method])	Returns a corrector object to remove instrument systematics.
to_csv([path_or_buf])	Writes the light curve to a CSV file.
to_excel(path_or_buf, **kwargs)	Shorthand for to_pandas().to_excel().
to_fits([path, overwrite, flux_column_name])	Converts the light curve to a FITS file in the Kepler/TESS file format.
to_pandas(**kwargs)	Converts the light curve to a Pandas DataFrame object.
to_periodogram([method])	Converts the light curve to a Periodogram power spectrum object.
to_seismology(**kwargs)	Returns a Seismology object for estimating quick-look asteroseismic quantities.
to_stingray()	Returns a stingray.Lightcurve object.
to_table()
to_timeseries()	Deprecated since version 2.0.
truncate([before, after, column])	Truncates the light curve before and after some time value.
update(other[, copy])	Perform a dictionary-style update and merge metadata.
values()
values_equal(other)	Element-wise comparison of table with another table, list, or scalar.

Attributes

ColumnClass
PDCSAP_FLUX	Deprecated since version 2.0.
SAP_FLUX	Deprecated since version 2.0.
astropy_time	Deprecated since version 2.0.
colnames
cycle	The cycle of the correspond time_original.
dtype
even_mask	Boolean mask which flags the even-numbered cycles (2, 4, 6, etc).
flux	Brightness values stored as an AstroPy Quantity object.
flux_err	Brightness uncertainties stored as an AstroPy Quantity object.
flux_quantity	Deprecated since version 2.0.
flux_unit	Deprecated since version 2.0.
groups
has_masked_columns	True if table has any MaskedColumn columns.
has_masked_values	True if column in the table has values which are masked.
has_mixin_columns	True if table has any mixin columns (defined as columns that are not Column subclasses).
hdu	Deprecated since version 2.0.
iloc	Return a TableILoc object that can be used for retrieving indexed rows in the order they appear in the index.
indices	Return the indices associated with columns of the table as a TableIndices object.
info
loc	Return a TableLoc object that can be used for retrieving rows by index in a given data range.
loc_indices	Return a TableLocIndices object that can be used for retrieving the row indices corresponding to given table index key value or values.
mask
masked
meta
odd_mask	Boolean mask which flags the odd-numbered cycles (1, 3, 5, etc).
phase	Alias for LightCurve.time.
pprint_exclude_names	Maintain tuple that controls table column visibility for print output.
pprint_include_names	Maintain tuple that controls table column visibility for print output.
time	Time values stored as an AstroPy Time object.
time_format	Deprecated since version 2.0.
time_scale	Deprecated since version 2.0.
write

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