code: def from_columns(cls, content, header):
      rows = list(zip(*fixed_length_lists(content)))
      return cls(rows, header)
  
file_path: sklearn-evaluation/src/sklearn_evaluation/table.py
imports: from copy import copy
  from .None import compute
label_desc: Use image node_id 2 for calling the Table obj's underlying member method code with example usage: obj.from_columns(cls, content, header) and returns: cls