django.contrib.postgres.aggregates.statistics 源代码

from django.db.models import FloatField, IntegerField
from django.db.models.aggregates import Aggregate

__all__ = [
    'CovarPop', 'Corr', 'RegrAvgX', 'RegrAvgY', 'RegrCount', 'RegrIntercept',
    'RegrR2', 'RegrSlope', 'RegrSXX', 'RegrSXY', 'RegrSYY', 'StatAggregate',
]


class StatAggregate(Aggregate):
    output_field = FloatField()

    def __init__(self, y, x, output_field=None, filter=None):
        if not x or not y:
            raise ValueError('Both y and x must be provided.')
        super().__init__(y, x, output_field=output_field, filter=filter)

    def resolve_expression(self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False):
        return super().resolve_expression(query, allow_joins, reuse, summarize)



[文档]class Corr(StatAggregate):
    function = 'CORR'




[文档]class CovarPop(StatAggregate):
    def __init__(self, y, x, sample=False, filter=None):
        self.function = 'COVAR_SAMP' if sample else 'COVAR_POP'
        super().__init__(y, x, filter=filter)




[文档]class RegrAvgX(StatAggregate):
    function = 'REGR_AVGX'




[文档]class RegrAvgY(StatAggregate):
    function = 'REGR_AVGY'




[文档]class RegrCount(StatAggregate):
    function = 'REGR_COUNT'
    output_field = IntegerField()

    def convert_value(self, value, expression, connection):
        return 0 if value is None else value




[文档]class RegrIntercept(StatAggregate):
    function = 'REGR_INTERCEPT'




[文档]class RegrR2(StatAggregate):
    function = 'REGR_R2'




[文档]class RegrSlope(StatAggregate):
    function = 'REGR_SLOPE'




[文档]class RegrSXX(StatAggregate):
    function = 'REGR_SXX'




[文档]class RegrSXY(StatAggregate):
    function = 'REGR_SXY'




[文档]class RegrSYY(StatAggregate):
    function = 'REGR_SYY'
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