data_algebra/data_ops_types.py
def eval(self, data_map, *, data_model=None, narrow=True):
        """
        Evaluate operators with respect to Pandas data frames.

        :param data_map: map from table names to data frames
        :param data_model: adaptor to data dialect (Pandas for now)
        :param narrow: logical, if True don't copy unexpected columns
        :return: table result
        """
        raise NotImplementedError("base class called")

        Evaluate operators with respect to Pandas data frames.

        :param data_map: map from table names to data frames
        :param data_model: adaptor to data dialect (Pandas for now)
        :param narrow: logical, if True don't copy unexpected columns
        :return: table result
        
Evaluate operators with respect to Pandas data frames.
Evaluate operators with respect to Pandas data frames .
def eval(self, data_map, *, data_model=None, narrow=True):
        raise NotImplementedError("base class called")
def eval ( self , data_map , * , data_model = None , narrow = True ) : raise NotImplementedError ( "base class called" )
Evaluate operators with respect to Pandas data frames.
Evaluate operators with respect to Pandas data frames .
"""
        Evaluate operators with respect to Pandas data frames.

        :param data_map: map from table names to data frames
        :param data_model: adaptor to data dialect (Pandas for now)
        :param narrow: logical, if True don't copy unexpected columns
        :return: table result
        """
None
self
data_map
map from table names to data frames
map from table names to data frames
data_model
adaptor to data dialect (Pandas for now)
adaptor to data dialect ( Pandas for now )
narrow
logical, if True don't copy unexpected columns
logical if True don ' t copy unexpected columns