code: def get_test_data():
      df = pd.DataFrame()
      df["a"] = np.arange(100)
      df["b"] = 1 + (df["a"] % 2)
      return df
  
file_path: popmon/tests/popmon/analysis/profiling/test_apply_func.py
imports: import numpy
  import pandas
  import pytest
  from popmon.analysis.apply_func import ApplyFunc, apply_func, apply_func_array
  from popmon.analysis.functions import pull
  from popmon.analysis.profiling.pull_calculator import ExpandingPullCalculator, ReferencePullCalculator, RefMedianMadPullCalculator, RollingPullCalculator
  from popmon.base import Pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: get_test_data() and returns: df