code: def _make_indexable(iterable):
      """Ensure iterable supports indexing or convert to an indexable variant.
  
      Convert sparse matrices to csr and other non-indexable iterable to arrays.
      Let `None` and indexable objects (e.g. pandas dataframes) pass unchanged.
  
      Parameters
      ----------
      iterable : {list, dataframe, array, sparse} or None
          Object to be converted to an indexable iterable.
      """
      if issparse(iterable):
          return mt.tensor(iterable)
      elif hasattr(iterable, "iloc"):
          if iterable.ndim == 1:
              return md.Series(iterable)
          else:
              return md.DataFrame(iterable)
      elif hasattr(iterable, "__getitem__"):
          return mt.tensor(iterable)
      elif iterable is None:
          return iterable
      return mt.tensor(iterable)
  
imports: import warnings
  import numbers
  import numpy
  from numpy.core.numeric import ComplexWarning
  from ...None import dataframe
  from ...None import tensor
  from ...core import ExecutableTuple
  from ...lib.sparse import issparse
  from ...tensor import Tensor
  from .checks import check_non_negative_then_return_value, assert_all_finite, AssertAllFinite
label_desc: Use image node_id 3 for calling a global function with example usage: _make_indexable(iterable) and returns: mt, mt, md, md, mt, iterable