code: def test_wrap_pandas_append():
      a = gen_data(1, True)
      a.name = "apple"
      b = gen_data(1, False)
      wrapped = PandasWrapper(a).wrap(b, append="appended")
      expected = "apple_appended"
      assert wrapped.name == expected
  
      a = gen_data(2, True)
      a.columns = ["apple_" + str(i) for i in range(a.shape[1])]
      b = gen_data(2, False)
      wrapped = PandasWrapper(a).wrap(b, append="appended")
      expected = [c + "_appended" for c in a.columns]
      assert list(wrapped.columns) == expected
  
imports: from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  from statsmodels.tools.validation import array_like, PandasWrapper, bool_like, dict_like, float_like, int_like, string_like
  from statsmodels.tools.validation.validation import _right_squeeze
label_desc: Use image node_id 5 for calling a global function with example usage: test_wrap_pandas_append() without return types