code: def test_dataframe_dummies_subset(self, df, sparse):
      result = get_dummies(
          df, prefix=["from_A"], columns=["A"], sparse=sparse
      )
      expected = DataFrame(
          {
              "B": ["b", "b", "c"],
              "C": [1, 2, 3],
              "from_A_a": [1, 0, 1],
              "from_A_b": [0, 1, 0],
          },
      )
      cols = expected.columns
      expected[cols[1:]] = expected[cols[1:]].astype(bool)
      expected[["C"]] = df[["C"]]
      if sparse:
          cols = ["from_A_a", "from_A_b"]
          expected[cols] = expected[cols].astype(
              SparseDtype("bool", False)
          )
      tm.assert_frame_equal(result, expected)
  
imports: import re
  import unicodedata
  import numpy
  import pytest
  import pandas.util._test_decorators
  from pandas.core.dtypes.common import is_integer_dtype
  import pandas
  from pandas import ArrowDtype, Categorical, CategoricalDtype, CategoricalIndex, DataFrame, Index, RangeIndex, Series, SparseDtype, get_dummies
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 16 for calling the TestGetDummies obj's underlying member method code with example usage: obj.test_dataframe_dummies_subset(df, sparse) without return types