code: def test_get_feature_names():
      df = pd.DataFrame({"a": [4, 5, 6], "b": ["4", "5", "6"]})
      transformer_number = PandasTypeSelector(include="number").fit(df)
      assert transformer_number.get_feature_names() == ["a"]
  
      transformer_number = PandasTypeSelector(include="object").fit(df)
      assert transformer_number.get_feature_names() == ["b"]
  
file_path: scikit-lego/tests/test_preprocessing/test_pandastypeselector.py
imports: import itertools
  import numpy
  import pandas
  import pytest
  from sklego.preprocessing import PandasTypeSelector
  from tests.conftest import id_func
label_desc: Use image node_id 6 for calling a global function with example usage: test_get_feature_names() without return types