class_docstr: Iterable/indexable class for time series data with context data
  Numpy arrays are sufficient time series data alone is needed
  
  Parameters
  ----------
  ts_data : array-like, shape (N, )
      time series data
  context_data : array-like (N, )
      contextual data
code: def __getitem__(self, indices):
      return TS_Data(self.ts_data[indices], self.context_data[indices])
  
file_path: seglearn/seglearn/base.py
imports: import numpy
label_desc: Use image node_id 4 for calling the TS_Data obj's underlying member method code with example usage: obj.__getitem__(indices) and returns: TS_Data