code: def test_from_columns():
      t = table.Table.from_columns(
          content=[[1, 2, 3], [4], [5, 6]], header=["a", "b", "c"]
      )
  
      assert str(t) == (
          "+-----+-----+-----+"
          "\n|   a |   b |   c |"
          "\n+=====+=====+=====+"
          "\n|   1 |   4 |   5 |"
          "\n+-----+-----+-----+"
          "\n|   2 |     |   6 |"
          "\n+-----+-----+-----+"
          "\n|   3 |     |     |"
          "\n+-----+-----+-----+"
      )
  
file_path: sklearn-evaluation/tests/test_table.py
imports: from unittest.mock import Mock
  import pytest
  import numpy
  from sklearn_evaluation import table
label_desc: Use image node_id 8 for calling a global function with example usage: test_from_columns() without return types