PostgreSQL specific aggregation functionsLink to this heading

These functions are available from the django.contrib.postgres.aggregates module. They are described in more detail in the PostgreSQL docs.

General-purpose aggregation functionsLink to this heading

ArrayAggLink to this heading

class ArrayAgg(expression, distinct=False, filter=None, default=None, order_by=(), **extra)Link to this definition

Returns a list of values, including nulls, concatenated into an array, or default if there are no values.

distinctLink to this definition

An optional boolean argument that determines if array values will be distinct. Defaults to False.

order_byLink to this definition

An optional string of a field name (with an optional "-" prefix which indicates descending order) or an expression (or a tuple or list of strings and/or expressions) that specifies the ordering of the elements in the result list.

Examples:

Code
from django.db.models import F

ArrayAgg("a_field", order_by="-some_field")
ArrayAgg("a_field", order_by=F("some_field").desc())

BitAndLink to this heading

class BitAnd(expression, filter=None, default=None, **extra)Link to this definition

Returns an int of the bitwise AND of all non-null input values, or default if all values are null.

BitOrLink to this heading

class BitOr(expression, filter=None, default=None, **extra)Link to this definition

Returns an int of the bitwise OR of all non-null input values, or default if all values are null.

BitXorLink to this heading

class BitXor(expression, filter=None, default=None, **extra)Link to this definition

Returns an int of the bitwise XOR of all non-null input values, or default if all values are null. It requires PostgreSQL 14+.

BoolAndLink to this heading

class BoolAnd(expression, filter=None, default=None, **extra)Link to this definition

Returns True, if all input values are true, default if all values are null or if there are no values, otherwise False.

Usage example:

Code
class Comment(models.Model):
    body = models.TextField()
    published = models.BooleanField()
    rank = models.IntegerField()
Python console
>>> from django.db.models import Q
>>> from django.contrib.postgres.aggregates import BoolAnd
>>> Comment.objects.aggregate(booland=BoolAnd("published"))
{'booland': False}
>>> Comment.objects.aggregate(booland=BoolAnd(Q(rank__lt=100)))
{'booland': True}

BoolOrLink to this heading

class BoolOr(expression, filter=None, default=None, **extra)Link to this definition

Returns True if at least one input value is true, default if all values are null or if there are no values, otherwise False.

Usage example:

Code
class Comment(models.Model):
    body = models.TextField()
    published = models.BooleanField()
    rank = models.IntegerField()
Python console
>>> from django.db.models import Q
>>> from django.contrib.postgres.aggregates import BoolOr
>>> Comment.objects.aggregate(boolor=BoolOr("published"))
{'boolor': True}
>>> Comment.objects.aggregate(boolor=BoolOr(Q(rank__gt=2)))
{'boolor': False}

JSONBAggLink to this heading

class JSONBAgg(expressions, distinct=False, filter=None, default=None, order_by=(), **extra)Link to this definition

Returns the input values as a JSON array, or default if there are no values. You can query the result using key and index lookups.

distinctLink to this definition

An optional boolean argument that determines if array values will be distinct. Defaults to False.

order_byLink to this definition

An optional string of a field name (with an optional "-" prefix which indicates descending order) or an expression (or a tuple or list of strings and/or expressions) that specifies the ordering of the elements in the result list.

Examples are the same as for ArrayAgg.order_by.

Usage example:

Code
class Room(models.Model):
    number = models.IntegerField(unique=True)


class HotelReservation(models.Model):
    room = models.ForeignKey("Room", on_delete=models.CASCADE)
    start = models.DateTimeField()
    end = models.DateTimeField()
    requirements = models.JSONField(blank=True, null=True)
Python console
>>> from django.contrib.postgres.aggregates import JSONBAgg
>>> Room.objects.annotate(
...     requirements=JSONBAgg(
...         "hotelreservation__requirements",
...         order_by="-hotelreservation__start",
...     )
... ).filter(requirements__0__sea_view=True).values("number", "requirements")
<QuerySet [{'number': 102, 'requirements': [
    {'parking': False, 'sea_view': True, 'double_bed': False},
    {'parking': True, 'double_bed': True}
]}]>

StringAggLink to this heading

class StringAgg(expression, delimiter, distinct=False, filter=None, default=None, order_by=())Link to this definition

Returns the input values concatenated into a string, separated by the delimiter string, or default if there are no values.

delimiterLink to this definition

Required argument. A string, Value, or expression representing the string for separating values. For example, Value(",").

distinctLink to this definition

An optional boolean argument that determines if concatenated values will be distinct. Defaults to False.

order_byLink to this definition

An optional string of a field name (with an optional "-" prefix which indicates descending order) or an expression (or a tuple or list of strings and/or expressions) that specifies the ordering of the elements in the result string.

Examples are the same as for ArrayAgg.order_by.

Usage example:

Code
class Publication(models.Model):
    title = models.CharField(max_length=30)


class Article(models.Model):
    headline = models.CharField(max_length=100)
    publications = models.ManyToManyField(Publication)
Python console
>>> article = Article.objects.create(headline="NASA uses Python")
>>> article.publications.create(title="The Python Journal")
<Publication: Publication object (1)>
>>> article.publications.create(title="Science News")
<Publication: Publication object (2)>
>>> from django.contrib.postgres.aggregates import StringAgg
>>> Article.objects.annotate(
...     publication_names=StringAgg(
...         "publications__title",
...         delimiter=", ",
...         order_by="publications__title",
...     )
... ).values("headline", "publication_names")
<QuerySet [{
    'headline': 'NASA uses Python', 'publication_names': 'Science News, The Python Journal'
}]>

Aggregate functions for statisticsLink to this heading

y and xLink to this heading

The arguments y and x for all these functions can be the name of a field or an expression returning a numeric data. Both are required.

CorrLink to this heading

class Corr(y, x, filter=None, default=None)Link to this definition

Returns the correlation coefficient as a float, or default if there aren’t any matching rows.

CovarPopLink to this heading

class CovarPop(y, x, sample=False, filter=None, default=None)Link to this definition

Returns the population covariance as a float, or default if there aren’t any matching rows.

sampleLink to this definition

Optional. By default CovarPop returns the general population covariance. However, if sample=True, the return value will be the sample population covariance.

RegrAvgXLink to this heading

class RegrAvgX(y, x, filter=None, default=None)Link to this definition

Returns the average of the independent variable (sum(x)/N) as a float, or default if there aren’t any matching rows.

RegrAvgYLink to this heading

class RegrAvgY(y, x, filter=None, default=None)Link to this definition

Returns the average of the dependent variable (sum(y)/N) as a float, or default if there aren’t any matching rows.

RegrCountLink to this heading

class RegrCount(y, x, filter=None)Link to this definition

Returns an int of the number of input rows in which both expressions are not null.

RegrInterceptLink to this heading

class RegrIntercept(y, x, filter=None, default=None)Link to this definition

Returns the y-intercept of the least-squares-fit linear equation determined by the (x, y) pairs as a float, or default if there aren’t any matching rows.

RegrR2Link to this heading

class RegrR2(y, x, filter=None, default=None)Link to this definition

Returns the square of the correlation coefficient as a float, or default if there aren’t any matching rows.

RegrSlopeLink to this heading

class RegrSlope(y, x, filter=None, default=None)Link to this definition

Returns the slope of the least-squares-fit linear equation determined by the (x, y) pairs as a float, or default if there aren’t any matching rows.

RegrSXXLink to this heading

class RegrSXX(y, x, filter=None, default=None)Link to this definition

Returns sum(x^2) - sum(x)^2/N („sum of squares” of the independent variable) as a float, or default if there aren’t any matching rows.

RegrSXYLink to this heading

class RegrSXY(y, x, filter=None, default=None)Link to this definition

Returns sum(x*y) - sum(x) * sum(y)/N („sum of products” of independent times dependent variable) as a float, or default if there aren’t any matching rows.

RegrSYYLink to this heading

class RegrSYY(y, x, filter=None, default=None)Link to this definition

Returns sum(y^2) - sum(y)^2/N („sum of squares” of the dependent variable) as a float, or default if there aren’t any matching rows.

Usage examplesLink to this heading

We will use this example table:

Text
| FIELD1 | FIELD2 | FIELD3 |
|--------|--------|--------|
|    foo |      1 |     13 |
|    bar |      2 | (null) |
|   test |      3 |     13 |

Here’s some examples of some of the general-purpose aggregation functions:

Python console
>>> TestModel.objects.aggregate(result=StringAgg("field1", delimiter=";"))
{'result': 'foo;bar;test'}
>>> TestModel.objects.aggregate(result=ArrayAgg("field2"))
{'result': [1, 2, 3]}
>>> TestModel.objects.aggregate(result=ArrayAgg("field1"))
{'result': ['foo', 'bar', 'test']}

The next example shows the usage of statistical aggregate functions. The underlying math will be not described (you can read about this, for example, at wikipedia):

Python console
>>> TestModel.objects.aggregate(count=RegrCount(y="field3", x="field2"))
{'count': 2}
>>> TestModel.objects.aggregate(
...     avgx=RegrAvgX(y="field3", x="field2"), avgy=RegrAvgY(y="field3", x="field2")
... )
{'avgx': 2, 'avgy': 13}