code: def test_facetgrid(self):
      df = self.iris
  
      fg = df.sns.FacetGrid(df.columns[0])
      self.assertIsInstance(fg, sns.FacetGrid)
      self._check_axes_shape(
          fg.axes, axes_num=3, layout=(3, 1), figsize=None
      )
      tm.close()
  
      fg = df.sns.FacetGrid(row=df.columns[0])
      self.assertIsInstance(fg, sns.FacetGrid)
      self._check_axes_shape(
          fg.axes, axes_num=3, layout=(3, 1), figsize=None
      )
      tm.close()
  
      fg = df.sns.FacetGrid(col=df.columns[0])
      self.assertIsInstance(fg, sns.FacetGrid)
      self._check_axes_shape(
          fg.axes, axes_num=3, layout=(1, 3), figsize=None
      )
      tm.close()
  
imports: import pytest
  import matplotlib
  import numpy
  import sklearn.datasets
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 8 for calling the TestSeabornCategorical obj's underlying member method code with example usage: obj.test_facetgrid() without return types