original_docstring: Adds 1 to input data and then applies Log transformation to those values
  
      :param x: data to undergo transformation (datatypes accepted include,
                pandas DataFrames and Series, numpy matrices and arrays, or
                single int or float values x)
      :return: The transformed dataframe, series, array, or value depending on
               the type of original input x object
      
docstring: Adds 1 to input data and then applies Log transformation to those values
docstring_tokens: Adds 1 to input data and then applies Log transformation to those values
code: def log_plus_one(x):
      """Adds 1 to input data and then applies Log transformation to those values
  
      :param x: data to undergo transformation (datatypes accepted include,
                pandas DataFrames and Series, numpy matrices and arrays, or
                single int or float values x)
      :return: The transformed dataframe, series, array, or value depending on
               the type of original input x object
      """
      return np.log(x + 1)
code_tokens: def log_plus_one ( x ) : return np . log ( x + 1 )
short_docstring: Adds 1 to input data and then applies Log transformation to those values
short_docstring_tokens: Adds 1 to input data and then applies Log transformation to those values
comment: """Adds 1 to input data and then applies Log transformation to those values
  
      :param x: data to undergo transformation (datatypes accepted include,
                pandas DataFrames and Series, numpy matrices and arrays, or
                single int or float values x)
      :return: The transformed dataframe, series, array, or value depending on
               the type of original input x object
      """