code: def upload_file():
      a = h2o.upload_file(
          pyunit_utils.locate("smalldata/logreg/prostate.csv")
      )
      print(a.describe())
  
      from h2o import H2OFrame
  
      # using lists []
      py_list_to_h2o = H2OFrame([[0, 1, 2, 3, 4]])
  
      print(py_list_to_h2o.describe())
  
      py_list_to_h2o_2 = H2OFrame([[0, 1, 2, 3], [5, 6, "hi", "dog"]])
  
      print(py_list_to_h2o_2.describe())
  
      # using tuples ()
      py_tuple_to_h2o = H2OFrame([(0, 1, 2, 3, 4)])
  
      print(py_tuple_to_h2o.describe())
  
      py_tuple_to_h2o_2 = H2OFrame(((0, 1, 2, 3), (5, 6, "hi", "dog")))
  
      print(py_tuple_to_h2o_2.describe())
  
      # using dicts {}
      py_dict_to_h2o = H2OFrame(
          {"column1": [5, 4, 3, 2, 1], "column2": (1, 2, 3, 4, 5)}
      )
  
      py_dict_to_h2o.describe()
  
      py_dict_to_h2o_2 = H2OFrame(
          {"colA": ["bilbo", "baggins"], "colB": ["meow"]}
      )
  
      print(py_dict_to_h2o_2.describe())
  
      # using collections.OrderedDict
  
      import collections
  
      d = {
          "colA": ["bilbo", "baggins"],
          "colB": ["meow"],
      }  # still unordered!
      py_ordered_dict_to_h2o = H2OFrame(collections.OrderedDict(d))
  
      py_ordered_dict_to_h2o.describe()
  
      # make an ordered dictionary!
      d2 = collections.OrderedDict()
      d2["colA"] = ["bilbo", "baggins"]
      d2["colB"] = ["meow"]
  
      py_ordered_dict_to_h2o_2 = H2OFrame(collections.OrderedDict(d2))
      py_ordered_dict_to_h2o_2.describe()
  
imports: from builtins import zip
  import sys
  import h2o
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: upload_file() without return types