code: def test_concat_columns(axis):
      pdf1 = pd.DataFrame(
          np.random.randint(10, size=(5, 3)), columns=[1, 2, 3]
      )
      pdf2 = pd.DataFrame(
          np.random.randint(10, size=(5, 4)), columns=[4, 5, 6, 7]
      )
      gdf1 = gd.from_pandas(pdf1)
      gdf2 = gd.from_pandas(pdf2)
  
      expect = pd.concat([pdf1, pdf2], axis=axis)
      got = gd.concat([gdf1, gdf2], axis=axis)
  
      assert_eq(expect, got, check_index_type=True)
  
imports: from decimal import Decimal
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.api.types import is_categorical_dtype
  from cudf.core._compat import PANDAS_GE_150, PANDAS_LT_140
  from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
label_desc: Use image node_id 6 for calling a global function with example usage: test_concat_columns(axis) without return types