code: def valid_df():
      return pd.DataFrame(
          {
              "a": [1, np.nan, 3, 4],
              "b": [11, 12, np.inf, 14],
              "c": [21, 22, 23, 24],
          }
      )
  
file_path: scikit-lego/tests/test_preprocessing/test_columncapper.py
imports: import numpy
  import pandas
  import pytest
  from sklearn.utils.validation import FLOAT_DTYPES
  from sklego.common import flatten
  from sklego.preprocessing import ColumnCapper
  from tests.conftest import general_checks, nonmeta_checks, select_tests, transformer_checks
label_desc: Use image node_id 4 for calling a global function with example usage: valid_df() and returns: pd