code: def test_named_dataframe(self):
      cols = ["Col Alpha", "Col Num"]
      a, b, y_true = self._get_raw_data()
  
      rf = pd.DataFrame(data=zip(a, b), columns=cols)
  
      target = _get_raw_MetricFrame()
      result = target._process_features("Ignored", rf, y_true)
      self._common_validations(result, cols)
  
imports: import numpy
  import pandas
  import pytest
  import fairlearn.metrics
  from .utils import _get_raw_MetricFrame
label_desc: Use image node_id 5 for calling the TestTwoFeatures obj's underlying member method code with example usage: obj.test_named_dataframe() without return types