code: def _asarray_2dcolumns(x):
      if np.asarray(x).ndim > 1 and np.asarray(x).squeeze().ndim == 1:
          return
  
imports: from __future__ import annotations
  from statsmodels.compat.python import lmap
  from functools import reduce
  import numpy
  from pandas import DataFrame, Series, isnull, MultiIndex
  import statsmodels.tools.data
  from statsmodels.tools.decorators import cache_readonly, cache_writable
  from statsmodels.tools.sm_exceptions import MissingDataError
label_desc: Use image node_id 1 for calling a global function with example usage: _asarray_2dcolumns(x) without return types