Django 5.1.dev 文档

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django.contrib.postgres.aggregates.statistics 源代码

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

__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, default=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, default=default
        )




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






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






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






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class RegrAvgY(StatAggregate):
    function = "REGR_AVGY"






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class RegrCount(StatAggregate):
    function = "REGR_COUNT"
    output_field = IntegerField()
    empty_result_set_value = 0






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






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class RegrR2(StatAggregate):
    function = "REGR_R2"






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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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