code: def transform_with_patsy(formula, data, *args, **kwargs):
      try:
          # needs patsy v0.5.1 to support formula in Python 3.7
          # https://github.com/pydata/patsy/pull/131
          import patsy
      except ImportError:
          raise ImportError(
              "'patsy' is required to transform with string formula"
          )
  
      if "~" in formula:
          y, X = patsy.dmatrices(
              formula,
              data=data,
              return_type="dataframe",
              *args,
              **kwargs,
          )
          if len(y.shape) > 1 and y.shape[1] != 1:
              raise ValueError("target must be 1 dimensional")
          y = y.iloc[:, 0]
          return data._constructor(X, target=y)
      else:
          X = patsy.dmatrix(
              formula,
              data=data,
              return_type="dataframe",
              *args,
              **kwargs,
          )
          return data._constructor(X)
  
label_desc: Use image node_id 1 for calling a global function with example usage: transform_with_patsy(formula, data) and returns: data, data