---

split_timerange

 split_timerange (timerange:list[datetime.datetime], n:int=1)

*Split a timerange into multiple timeranges.

Reference: TimeRange in sunpy.time*

---

IDsConfig

 IDsConfig (name:str='events',
            mag_data:polars.lazyframe.frame.LazyFrame=None, mag_meta:space
            _analysis.core.MagVariable=MagVariable(name=None,
            description=None, unit=None, ts=None, timerange=None,
            dataset=None, parameter=None, B_cols=None),
            ts:datetime.timedelta=None,
            events:polars.dataframe.frame.DataFrame=None,
            detect_func:Callable=<function detect_variance>,
            detect_kwargs:dict=<factory>,
            method:Literal['fit','derivative']='fit',
            file_fmt:str='arrow', file_path:pathlib.Path=Path('/home/runne
            r/work/discontinuitypy/discontinuitypy/data'),
            plasma_data:polars.lazyframe.frame.LazyFrame=None, plasma_meta
            :space_analysis.meta.PlasmaDataset=PlasmaDataset(timerange=Non
            e, variables=None, name=None, dataset=None, parameters=None,
            ts=None, temperature_col=None, para_col=None, perp_cols=None,
            velocity_cols=None, speed_col=None, density_col=None),
            ion_temp_data:polars.lazyframe.frame.LazyFrame=None, ion_temp_
            meta:space_analysis.meta.TempDataset=TempDataset(timerange=Non
            e, variables=None, name=None, dataset=None, parameters=None,
            ts=None, temperature_col=None, para_col=None, perp_cols=None),
            e_temp_data:polars.lazyframe.frame.LazyFrame=None, e_temp_meta
            :space_analysis.meta.TempDataset=TempDataset(timerange=None,
            variables=None, name=None, dataset=None, parameters=None,
            ts=None, temperature_col=None, para_col=None, perp_cols=None),
            timerange:list[datetime.datetime]=None, split:int=1,
            tmp:bool=False, **extra_data:Any)

*Extend the IDsDataset class to provide additional functionalities:

• Split data to handle large datasets (thus often requiring getting data lazily)*

---

SpeasyIDsConfig

 SpeasyIDsConfig (name:str='events',
                  mag_data:polars.lazyframe.frame.LazyFrame=None, mag_meta
                  :space_analysis.core.MagVariable=MagVariable(name=None,
                  description=None, unit=None, ts=None, timerange=None,
                  dataset=None, parameter=None, B_cols=None),
                  ts:datetime.timedelta=None,
                  events:polars.dataframe.frame.DataFrame=None,
                  detect_func:Callable=<function detect_variance>,
                  detect_kwargs:dict=<factory>,
                  method:Literal['fit','derivative']='fit',
                  file_fmt:str='arrow', file_path:pathlib.Path=Path('/home
                  /runner/work/discontinuitypy/discontinuitypy/data'),
                  plasma_data:polars.lazyframe.frame.LazyFrame=None, plasm
                  a_meta:space_analysis.meta.PlasmaDataset=PlasmaDataset(t
                  imerange=None, variables=None, name=None, dataset=None,
                  parameters=None, ts=None, temperature_col=None,
                  para_col=None, perp_cols=None, velocity_cols=None,
                  speed_col=None, density_col=None),
                  ion_temp_data:polars.lazyframe.frame.LazyFrame=None, ion
                  _temp_meta:space_analysis.meta.TempDataset=TempDataset(t
                  imerange=None, variables=None, name=None, dataset=None,
                  parameters=None, ts=None, temperature_col=None,
                  para_col=None, perp_cols=None),
                  e_temp_data:polars.lazyframe.frame.LazyFrame=None, e_tem
                  p_meta:space_analysis.meta.TempDataset=TempDataset(timer
                  ange=None, variables=None, name=None, dataset=None,
                  parameters=None, ts=None, temperature_col=None,
                  para_col=None, perp_cols=None),
                  timerange:list[datetime.datetime]=None, split:int=1,
                  tmp:bool=False, provider:str='cda', **extra_data:Any)

Based on speasy Variables to get the data

---

get_vars

 get_vars (vars:str, timerange:list[datetime.datetime]=None)