In [1]: data = [
   ...:     [1, 4, "a",  1],
   ...:     [2, 5, "b",  0],
   ...:     [3, 6, "", 1],
   ...: ]

In [2]: h2o.H2OFrame(data, skipped_columns=[1, 2])
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-2-38e7cbb577be> in <module>
----> 1 h2o.H2OFrame(data, skipped_columns=[2])

~/repos/h2o/h2o-3/h2o-py/h2o/frame.py in __init__(self, python_obj, destination_frame, header, separator, column_names, column_types, na_strings, skipped_columns, force_col_types)
    119             if python_obj is not None:
    120                 self._upload_python_object(python_obj, destination_frame, header, separator,
--> 121                                            column_names, column_types, na_strings, skipped_columns, force_col_types)
    122
    123     @staticmethod

~/repos/h2o/h2o-3/h2o-py/h2o/frame.py in _upload_python_object(self, python_obj, destination_frame, header, separator, column_names, column_types, na_strings, skipped_columns, force_col_types)
    160         tmp_file.close()  # close the streams
    161         self._upload_parse(tmp_path, destination_frame, 1, separator, column_names, column_types, na_strings,
--> 162                            skipped_columns, force_col_types)
    163         os.remove(tmp_path)  # delete the tmp file
    164

~/repos/h2o/h2o-3/h2o-py/h2o/frame.py in _upload_parse(self, path, destination_frame, header, sep, column_names, column_types, na_strings, skipped_columns, force_col_types, quotechar, escapechar)
    466         rawkey = ret["destination_frame"]
    467         self._parse(rawkey, destination_frame, header, sep, column_names, column_types, na_strings, skipped_columns,
--> 468                     force_col_types, quotechar=quotechar, escapechar=escapechar)
    469         return self
    470

~/repos/h2o/h2o-3/h2o-py/h2o/frame.py in _parse(self, rawkey, destination_frame, header, separator, column_names, column_types, na_strings, skipped_columns, force_col_types, custom_non_data_line_markers, partition_by, quotechar, escapechar)
    473                escapechar=None):
    474         setup = h2o.parse_setup(rawkey, destination_frame, header, separator, column_names, column_types, na_strings,
--> 475                                 skipped_columns, force_col_types, custom_non_data_line_markers, partition_by, quotechar, escapechar)
    476         return self._parse_raw(setup)
    477

~/repos/h2o/h2o-3/h2o-py/h2o/h2o.py in parse_setup(raw_frames, destination_frame, header, separator, column_names, column_types, na_strings, skipped_columns, force_col_types, custom_non_data_line_markers, partition_by, quotechar, escapechar)
    874                 raise ValueError(
    875                     "length of col_names should be equal to the number of columns parsed: %d vs %d"
--> 876                     % (len(column_names), parse_column_len))
    877         else:
    878             if len(column_names) != len(j["column_types"]): raise ValueError(

ValueError: length of col_names should be equal to the number of columns parsed: 4 vs 2

Parse progress: 
  C1    C2
   1     1
   2     0
   3     1
[3 rows x 2 columns]