LightcurveData#

Bases: LightcurveDataBase

Concrete lightcurve data class with local behavior implementation.

Attributes Summary

Methods Summary

`apply_gti`([inplace])
`apply_mask`(mask[, inplace, filtered_attrs])
`extract_gti`(hdul)	Extension point: parse GTI from an opened HDUList and return list of (start, stop) tuples.
`get_keyword_ci`(key[, default])	大小写不敏感地从 header 中读取关键字（若 header 为 dict）.
`get_time_object`([index])
`join`(other[, skip_checks])
`plot`(**kwargs)
`rebin`(binsize[, method, align_ref, empty_bin])
`slice`([tmin, tmax])
`sort`([inplace])
`split_by_gti`([min_points])
`truncate`([tmin, tmax])
`validate`()	通用层：仅检查路径与 header 存在性。子类会扩展。

Attributes Documentation

CRITICAL_KEYS = ['TIMESYS', 'TIMEUNIT']#

OPTIONAL_KEYS = ['OBJECT', 'OBS_ID', 'MJDREF', 'MJDREFI', 'MJDREFF', 'TIMEZERO', 'TREFPOS', 'DATE-OBS']#

REQUIRED_COLUMNS_ANY = [['TIME']]#

REQUIRED_KEYS = ['TELESCOP', 'INSTRUME', 'TIMESYS', 'TIMEUNIT']#

absolute_time#

areascal: ndarray | float | None#

backscal: ndarray | float | None#

bin_centers#

bin_exposure: ndarray | None#

bin_hi: ndarray | None#

bin_lo: ndarray | None#

bin_width: ndarray | None#

binning: Literal['uniform', 'variable', 'unknown']#

columns: Tuple[str, ...]#

counts: ndarray | None#

counts_err: ndarray | None#

dt: ndarray | float | None#

err_dist: Literal['poisson', 'gauss'] | None#

error: ndarray | None#

exposure: float | None#

fracexp: ndarray | None#

gti#

gti_start: ndarray | None#

gti_stop: ndarray | None#

header: Dict[str, Any]#

headers_dump: Any#

is_rate: bool#

kind: ClassVar[Literal['lc']] = 'lc'#

mean_counts#

mean_rate#

meta: Any#

mjdref: float | None#

n#

path: Path#

quality: ndarray | None#

rate: ndarray | None#

rate_err: ndarray | None#

ratio: float | None#

region: RegionArea | None#

telescop: str | None#

time: ndarray | None#

time_raw: ndarray | None#

time_rel: ndarray | None#

timesys: str | None#

timezero: float#

timezero_obj: Time | None#

total_counts#

tseg: float | None#

tstart: float | None#

validation#

value: ndarray | None#

Methods Documentation

apply_gti(inplace: bool = False) → LightcurveData[source]#

apply_mask(mask: ndarray, inplace: bool = False, filtered_attrs: list[str] | None = None) → LightcurveData[source]#

extract_gti(hdul: Any) → list | None#

Extension point: parse GTI from an opened HDUList and return list of (start, stop) tuples.

Default implementation searches for an extension named ‘GTI’ (case-insensitive) and, if present, returns a list of (START, STOP) pairs. Readers should call this to populate event objects’ GTI field.

get_keyword_ci(key: str, default: Any | None = None) → Any#

大小写不敏感地从 header 中读取关键字（若 header 为 dict）.

返回关键字值或提供的 default。便于统一处理 FITS 关键字的大小写差异。

get_time_object(index: int | None = None) → Any | None[source]#

join(other: LightcurveData, skip_checks: bool = False) → LightcurveData[source]#

plot(**kwargs)[source]#

rebin(binsize: float, method: Literal['auto', 'sum', 'mean'] = 'auto', *, align_ref: float | None = None, empty_bin: Literal['zero', 'nan'] = 'zero') → LightcurveData[source]#

slice(tmin: float | Any | None = None, tmax: float | Any | None = None) → LightcurveData[source]#

sort(inplace: bool = False) → LightcurveData[source]#

split_by_gti(min_points: int = 1) → list[LightcurveData][source]#

truncate(tmin: float | None = None, tmax: float | None = None) → LightcurveData[source]#

validate() → ValidationReport[source]#: 通用层：仅检查路径与 header 存在性。子类会扩展。

`CRITICAL_KEYS`
`OPTIONAL_KEYS`
`REQUIRED_COLUMNS_ANY`
`REQUIRED_KEYS`
`absolute_time`
`areascal`
`backscal`
`bin_centers`
`bin_exposure`
`bin_hi`
`bin_lo`
`bin_width`
`binning`
`columns`
`counts`
`counts_err`
`dt`
`err_dist`
`error`
`exposure`
`fracexp`
`gti`
`gti_start`
`gti_stop`
`header`
`headers_dump`
`is_rate`
`kind`
`mean_counts`
`mean_rate`
`meta`
`mjdref`
`n`
`path`
`quality`
`rate`
`rate_err`
`ratio`
`region`
`telescop`
`time`
`time_raw`
`time_rel`
`timesys`
`timezero`
`timezero_obj`
`total_counts`
`tseg`
`tstart`
`validation`
`value`