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How to use _transform_helper method in pandera

Best Python code snippet using pandera_python

preprocessing.py

Source:preprocessing.py

...93    if isinstance(col, (list,tuple)): raise ValueError("col must be None or a single column.")94  def fit(self,X,y=None,**params):95    return self96  def transform(self,X,y=None,**params):97    res = H2OColOp._transform_helper(X,params)98    if self.inplace:  X[self.col] = res99    else:             return X.cbind(res)100    return X101  def _transform_helper(self, X, **params):102    if self.params is None or self.params == {}:103      if self.col is not None: res = self.fun(X[self.col])104      else:                    res = self.fun(X)105    else:106      if self.col is not None: res = self.fun(X[self.col],**self.params)107      else:                    res = self.fun(X,**self.params)108    return res109  def to_rest(self, step_name):110    ast = self._transform_helper(self._dummy_frame())._ex._to_string()111    new_col_names = self.new_col_name112    if new_col_names is None: new_col_names=["|"]113    elif not isinstance(new_col_names, (list,tuple)): new_col_names = [new_col_names]114    return super(H2OColOp, self).to_rest([step_name,self.__class__.__name__,ast,self.inplace,"|".join(new_col_names)])115class H2OBinaryOp(H2OColOp):116  """Perform a binary operation on a column.117  If left is None, then the column will appear on the left in the operation; otherwise118  it will be appear on the right.119  A ValueError is raised if both left and right are None.120  """121  def __init__(self, op, col, inplace=True, new_col_name=None, left=None, right=None, **params):122    super(H2OBinaryOp, self).__init__(op,col,inplace, new_col_name, **params)123    self.left_is_col  = isinstance(left, H2OCol)124    self.right_is_col = isinstance(right,H2OCol)125    self.left = left126    self.right = right127    if left is None and right is None:128      raise ValueError("left and right cannot both be None")129  def _transform_helper(self,X,**params):130    if self.left is None: return self.fun(X[self.col],X[self.right.col] if self.right_is_col else self.right)...

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