code: def test_standardize():
      df = pd.DataFrame(dict(a=randn(1000)))
      data_id, column_type = "1", "standardize"
      build_data_inst({data_id: df})
  
      if parse_version(skl.__version__) >= parse_version("0.20.0"):
          cfg = {"col": "a", "algo": "power"}
          builder = ColumnBuilder(data_id, column_type, "Col1", cfg)
          verify_builder(builder, lambda col: col.isnull().sum() == 0)
  
      if parse_version(skl.__version__) >= parse_version("0.19.0"):
          cfg = {"col": "a", "algo": "quantile"}
          builder = ColumnBuilder(data_id, column_type, "Col1", cfg)
          verify_builder(builder, lambda col: col.isnull().sum() == 0)
  
      if parse_version(skl.__version__) >= parse_version("0.17.0"):
          cfg = {"col": "a", "algo": "robust"}
          builder = ColumnBuilder(data_id, column_type, "Col1", cfg)
          verify_builder(builder, lambda col: col.isnull().sum() == 0)
  
imports: import numpy
  import pandas
  import pytest
  import sklearn
  from numpy.random import randn
  from pkg_resources import parse_version
  from six import PY3
  import dtale.pandas_util
  from dtale.column_builders import ColumnBuilder, ZERO_STD_ERROR
  from tests.dtale import build_data_inst
label_desc: Use image node_id 12 for calling a global function with example usage: test_standardize() without return types