data_algebra/data_ops.py
def ex(d, *, data_model=None, narrow=True, allow_limited_tables=False):
    """
    Evaluate operators with respect to Pandas data frames already stored in the operator chain.

    :param d: data algebra pipeline or OpC container to evaluate.
    :param data_model: adaptor to data dialect (Pandas for now)
    :param narrow: logical, if True don't copy unexpected columns
    :param allow_limited_tables: logical, if True allow execution on non-complete tables
    :return: table result
    """
    return d.ex(data_model=data_model, narrow=narrow, allow_limited_tables=allow_limited_tables)

    Evaluate operators with respect to Pandas data frames already stored in the operator chain.

    :param d: data algebra pipeline or OpC container to evaluate.
    :param data_model: adaptor to data dialect (Pandas for now)
    :param narrow: logical, if True don't copy unexpected columns
    :param allow_limited_tables: logical, if True allow execution on non-complete tables
    :return: table result
    
Evaluate operators with respect to Pandas data frames already stored in the operator chain.
Evaluate operators with respect to Pandas data frames already stored in the operator chain .
def ex(d, *, data_model=None, narrow=True, allow_limited_tables=False):
    return d.ex(data_model=data_model, narrow=narrow, allow_limited_tables=allow_limited_tables)
def ex ( d , * , data_model = None , narrow = True , allow_limited_tables = False ) : return d . ex ( data_model = data_model , narrow = narrow , allow_limited_tables = allow_limited_tables )
Evaluate operators with respect to Pandas data frames already stored in the operator chain.
Evaluate operators with respect to Pandas data frames already stored in the operator chain .
"""
    Evaluate operators with respect to Pandas data frames already stored in the operator chain.

    :param d: data algebra pipeline or OpC container to evaluate.
    :param data_model: adaptor to data dialect (Pandas for now)
    :param narrow: logical, if True don't copy unexpected columns
    :param allow_limited_tables: logical, if True allow execution on non-complete tables
    :return: table result
    """
None
d
data algebra pipeline or OpC container to evaluate.
data algebra pipeline or OpC container to evaluate .
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
allow_limited_tables
logical, if True allow execution on non-complete tables
logical if True allow execution on non - complete tables