code: def test_missing_category(close_figures):
      # GH5639
      animal = [
          "dog",
          "dog",
          "dog",
          "cat",
          "dog",
          "cat",
          "cat",
          "dog",
          "dog",
          "cat",
      ]
      size = [
          "medium",
          "large",
          "medium",
          "medium",
          "medium",
          "medium",
          "large",
          "large",
          "large",
          "small",
      ]
      testdata = pd.DataFrame({"animal": animal, "size": size})
      testdata["size"] = pd.Categorical(
          testdata["size"], categories=["small", "medium", "large"]
      )
      testdata = testdata.sort_values("size")
      fig, _ = mosaic(testdata, ["animal", "size"])
      bio = BytesIO()
      fig.savefig(bio, format="png")
  
imports: from statsmodels.compat.python import lrange
  from io import BytesIO
  from itertools import product
  import numpy
  from numpy.testing import assert_, assert_raises
  import pandas
  import pytest
  from statsmodels.api import datasets
  from statsmodels.graphics.mosaicplot import _hierarchical_split, _key_splitting, _normalize_split, _reduce_dict, _split_rect, mosaic
label_desc: Use image node_id 16 for calling a global function with example usage: test_missing_category(close_figures) without return types