code: def get_data(self):
      return pandas.DataFrame(
          {"x": [1, 2, 3] * 1000, "y": [0, 1, 1] * 1000}
      )
  
imports: import datetime
  import pandas
  import sqlalchemy
  from lore.encoders import Unique, Pass, Token, Boolean, Enum, Continuous, OneHot, NestedUnique, NestedNorm
  from lore.transformers import DateTime
  import lore.io
  import lore.pipelines.holdout
  import lore.pipelines.iterative
  import lore.pipelines.time_series
label_desc: Use image node_id 1 for calling the NaivePipeline obj's underlying member method code with example usage: obj.get_data() and returns: pandas