toucan_data_sdk/utils/postprocess/math.py
def _basic_math_operation(df, new_column, column_1, column_2, op):
    """
    Basic mathematical operation to apply operator on `column_1` and `column_2`
    Both can be either a number or the name of a column of `df`
    Will create a new column named `new_column`
    """
    if not isinstance(column_1, (str, int, float)):
        raise TypeError(f'column_1 must be a string, an integer or a float')
    if not isinstance(column_2, (str, int, float)):
        raise TypeError(f'column_2 must be a string, an integer or a float')

    if isinstance(column_1, str):
        column_1 = df[column_1]
    if isinstance(column_2, str):
        column_2 = df[column_2]
    operator = getattr(_operator, op)
    df[new_column] = operator(column_1, column_2)
    return df
def _basic_math_operation(df, new_column, column_1, column_2, op):
    if not isinstance(column_1, (str, int, float)):
        raise TypeError(f'column_1 must be a string, an integer or a float')
    if not isinstance(column_2, (str, int, float)):
        raise TypeError(f'column_2 must be a string, an integer or a float')

    if isinstance(column_1, str):
        column_1 = df[column_1]
    if isinstance(column_2, str):
        column_2 = df[column_2]
    operator = getattr(_operator, op)
    df[new_column] = operator(column_1, column_2)
    return df
def _basic_math_operation ( df , new_column , column_1 , column_2 , op ) : if not isinstance ( column_1 , ( str , int , float ) ) : raise TypeError ( f'column_1 must be a string, an integer or a float' ) if not isinstance ( column_2 , ( str , int , float ) ) : raise TypeError ( f'column_2 must be a string, an integer or a float' ) if isinstance ( column_1 , str ) : column_1 = df [ column_1 ] if isinstance ( column_2 , str ) : column_2 = df [ column_2 ] operator = getattr ( _operator , op ) df [ new_column ] = operator ( column_1 , column_2 ) return df
Basic mathematical operation to apply operator on `column_1` and `column_2`
    Both can be either a number or the name of a column of `df`
    Will create a new column named `new_column`
Basic mathematical operation to apply operator on column_1 and column_2 Both can be either a number or the name of a column of df Will create a new column named new_column