code: def adult_census():
      import pandas as pd
  
      df = pd.read_csv("resources/tabular_data/adults.csv")
      df = df.rename(columns=lambda x: x.strip())
      df = df.applymap(lambda x: x.strip() if isinstance(x, str) else x)
      filter_set = "Doctorate"
      df["treatment"] = df["education"].apply(
          lambda x: 1 if x in filter_set else 0
      )
      return df
  
file_path: ktrain/tests/test_ci.py
imports: from unittest import TestCase, main, skip
  import numpy
  import testenv
  from ktrain import tabular
label_desc: Use image node_id 1 for calling a global function with example usage: adult_census() and returns: df