code: def test_get_columns(uint, int, float, np_float, use_batch):
      arr = [[1, 2, 3], [4, 5]]
      arr_float = np.array([1, 2, 3, 4, 5], dtype=np_float)
      table = pa.table(
          {
              "a": pa.chunked_array(arr, type=uint),
              "b": pa.chunked_array(arr, type=int),
              "c": pa.array(arr_float, type=float),
          }
      )
      if use_batch:
          table = table.combine_chunks().to_batches()[0]
      df = table.__dataframe__()
      for col in df.get_columns():
          assert col.size() == 5
          assert col.num_chunks() == 1
  
      # 0 = DtypeKind.INT, 1 = DtypeKind.UINT, 2 = DtypeKind.FLOAT,
      # see DtypeKind class in column.py
      assert df.get_column(0).dtype[0] == 1  # UINT
      assert df.get_column(1).dtype[0] == 0  # INT
      assert df.get_column(2).dtype[0] == 2
  
file_path: arrow/python/pyarrow/tests/interchange/test_interchange_spec.py
imports: import ctypes
  import hypothesis
  import hypothesis.strategies
  import numpy
  import pyarrow
  import pyarrow.tests.strategies
  import pytest
label_desc: Use image node_id 9 for calling a global function with example usage: test_get_columns(uint, int, float, np_float, use_batch) without return types