pyxplorer_plus/types.py
def distribution(self, limit=1024):
        """
        Build the distribution of distinct values
        """
        res = self._qexec("%s, count(*) as __cnt" % self.name(), group="%s" % self.name(),
                          order="__cnt DESC LIMIT %d" % limit)
        dist = []
        cnt = self._table.size()
        for i, r in enumerate(res):
            dist.append(list(r) + [i, r[1] / float(cnt)])

        self._distribution = pd.DataFrame(dist, columns=["value", "cnt", "r", "fraction"])
        self._distribution.index = self._distribution.r

        return self._distribution

        Build the distribution of distinct values
        
Build the distribution of distinct values
Build the distribution of distinct values
def distribution(self, limit=1024):
        res = self._qexec("%s, count(*) as __cnt" % self.name(), group="%s" % self.name(),
                          order="__cnt DESC LIMIT %d" % limit)
        dist = []
        cnt = self._table.size()
        for i, r in enumerate(res):
            dist.append(list(r) + [i, r[1] / float(cnt)])
        self._distribution = pd.DataFrame(dist, columns=["value", "cnt", "r", "fraction"])
        self._distribution.index = self._distribution.r
        return self._distribution
def distribution ( self , limit = 1024 ) : res = self . _qexec ( "%s, count(*) as __cnt" % self . name ( ) , group = "%s" % self . name ( ) , order = "__cnt DESC LIMIT %d" % limit ) dist = [ ] cnt = self . _table . size ( ) for i , r in enumerate ( res ) : dist . append ( list ( r ) + [ i , r [ 1 ] / float ( cnt ) ] ) self . _distribution = pd . DataFrame ( dist , columns = [ "value" , "cnt" , "r" , "fraction" ] ) self . _distribution . index = self . _distribution . r return self . _distribution
Build the distribution of distinct values
Build the distribution of distinct values
"""
        Build the distribution of distinct values
        """
self
limit