code: def test_pandas_concat_compatibility_axis1_single_column(name):
      # Pandas renames series name `None` to 0
      # and preserves anything else
      s = gd.Series([1, 2, 3], name=name)
      got = gd.concat([s], axis=1)
      expected = pd.concat([s.to_pandas()], axis=1)
      assert_eq(expected, got)
  
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 15 for calling a global function with example usage: test_pandas_concat_compatibility_axis1_single_column(name) without return types