(self, start, end,  series=None, fields=None, stats=None)
return backend.execute(
            backend.structure(self).multi_stats(start, end, fields, series,
                                                stats), self._stats)
Perform cross multivariate statistics calculation of
this :class:`ColumnTS` and other *series*.

:parameter start: the start date.
:parameter start: the end date
:parameter field: name of field to perform multivariate statistics.
:parameter series: a list of two elements tuple containing the id of the
    a :class:`columnTS` and a field name.
:parameter stats: list of statistics to evaluate.
    Default: ['covariance']
Perform cross multivariate statistics calculation of
this :class:`ColumnTS` and other *series*.
Perform cross multivariate statistics calculation of this : class : ColumnTS and other * series * .
def multi_stats(self, start, end,  series=None, fields=None, stats=None):
        '''Perform cross multivariate statistics calculation of
this :class:`ColumnTS` and other *series*.

:parameter start: the start date.
:parameter start: the end date
:parameter field: name of field to perform multivariate statistics.
:parameter series: a list of two elements tuple containing the id of the
    a :class:`columnTS` and a field name.
:parameter stats: list of statistics to evaluate.
    Default: ['covariance']
'''
        stats = stats or self.default_multi_stats
        start = self.pickler.dumps(start)
        end = self.pickler.dumps(end)
        backend = self.read_backend
        return backend.execute(
            backend.structure(self).multi_stats(start, end, fields, series,
                                                stats), self._stats)
def multi_stats ( self , start , end , series = None , fields = None , stats = None ) : stats = stats or self . default_multi_stats start = self . pickler . dumps ( start ) end = self . pickler . dumps ( end ) backend = self . read_backend return backend . execute ( backend . structure ( self ) . multi_stats ( start , end , fields , series , stats ) , self . _stats )