class_docstr: A container class for the linear dataset.
  
  Because the dataset is often not needed all at once, this class
  offers tools to access just the needed components
  
  Example
  -------
  >>> data = fetch_LINEAR_sample()  # doctest: +IGNORE_OUTPUT +REMOTE_DATA
  >>> lightcurve = data[data.ids[0]]  # doctest: +REMOTE_DATA
class_docstr_tok: ["A","container","class","for","the","linear","dataset",".","Because","the","dataset","is","often","not","needed","all","at","once",",","this","class","offers","tools","to","access","just","the","needed","components","Example","--","--","--","-",">",">",">","data","=","fetch_LINEAR_sample","(",")","#","doctest",":","+IGNORE_OUTPUT","+REMOTE_DATA",">",">",">","lightcurve","=","data","[","data.ids","[","0","]","]","#","doctest",":","+REMOTE_DATA"]
code: def _id_to_name(id):
      return str(id) + ".dat"
  
file_path: astroML/astroML/datasets/LINEAR_sample.py
imports: import os
  import tarfile
  import numpy
  from astropy.table import Table
  from .None import get_data_home
  from .tools import download_with_progress_bar
label_desc: Use image node_id 2 for calling the LINEARdata obj's underlying member method code with example usage: obj._id_to_name(id) and returns: unknown