h2o-py/h2o/frame.py
def table(self, data2=None, dense=True):
        """
        Compute the counts of values appearing in a column, or co-occurence counts between two columns.

        :param H2OFrame data2: An optional single column to aggregate counts by.
        :param bool dense: If True (default) then use dense representation, which lists only non-zero counts,
            1 combination per row. Set to False to expand counts across all combinations.

        :returns: H2OFrame of the counts at each combination of factor levels
        """
        return H2OFrame._expr(expr=ExprNode("table", self, data2, dense)) if data2 is not None else H2OFrame._expr(
            expr=ExprNode("table", self, dense))
def table(self, data2=None, dense=True):
        return H2OFrame._expr(expr=ExprNode("table", self, data2, dense)) if data2 is not None else H2OFrame._expr(
            expr=ExprNode("table", self, dense))
def table ( self , data2 = None , dense = True ) : return H2OFrame . _expr ( expr = ExprNode ( "table" , self , data2 , dense ) ) if data2 is not None else H2OFrame . _expr ( expr = ExprNode ( "table" , self , dense ) )
Compute the counts of values appearing in a column, or co-occurence counts between two columns.

        :param H2OFrame data2: An optional single column to aggregate counts by.
        :param bool dense: If True (default) then use dense representation, which lists only non-zero counts,
            1 combination per row. Set to False to expand counts across all combinations.

        :returns: H2OFrame of the counts at each combination of factor levels
Compute the counts of values appearing in a column or co - occurence counts between two columns .