These functions are described in more detail in the PostgreSQL docs.
\n\nArrayAggLink para este cabeçalho#Returns a list of values, including nulls, concatenated into an array.
\nBitAndLink para este cabeçalho#Returns an int of the bitwise AND of all non-null input values, or\nNone if all values are null.
BitOrLink para este cabeçalho#Returns an int of the bitwise OR of all non-null input values, or\nNone if all values are null.
BoolAndLink para este cabeçalho#Returns True, if all input values are true, None if all values are\nnull or if there are no values, otherwise False .
BoolOrLink para este cabeçalho#Returns True if at least one input value is true, None if all\nvalues are null or if there are no values, otherwise False.
StringAggLink para este cabeçalho#Returns the input values concatenated into a string, separated by\nthe delimiter string.
Required argument. Needs to be a string.
\ny and xLink para este cabeçalho#The arguments y and x for all these functions can be the name of a\nfield or an expression returning a numeric data. Both are required.
CorrLink para este cabeçalho#Returns the correlation coefficient as a float, or None if there\naren’t any matching rows.
CovarPopLink para este cabeçalho#Returns the population covariance as a float, or None if there\naren’t any matching rows.
Has one optional argument:
\nBy default CovarPop returns the general population covariance.\nHowever, if sample=True, the return value will be the sample\npopulation covariance.
RegrAvgXLink para este cabeçalho#Returns the average of the independent variable (sum(x)/N) as a\nfloat, or None if there aren’t any matching rows.
RegrAvgYLink para este cabeçalho#Returns the average of the dependent variable (sum(y)/N) as a\nfloat, or None if there aren’t any matching rows.
RegrCountLink para este cabeçalho#Returns an int of the number of input rows in which both expressions\nare not null.
RegrInterceptLink para este cabeçalho#Returns the y-intercept of the least-squares-fit linear equation determined\nby the (x, y) pairs as a float, or None if there aren’t any\nmatching rows.
RegrR2Link para este cabeçalho#Returns the square of the correlation coefficient as a float, or\nNone if there aren’t any matching rows.
RegrSlopeLink para este cabeçalho#Returns the slope of the least-squares-fit linear equation determined\nby the (x, y) pairs as a float, or None if there aren’t any\nmatching rows.
RegrSXXLink para este cabeçalho#Returns sum(x^2) - sum(x)^2/N (“sum of squares” of the independent\nvariable) as a float, or None if there aren’t any matching rows.
RegrSXYLink para este cabeçalho#Returns sum(x*y) - sum(x) * sum(y)/N (“sum of products” of independent\ntimes dependent variable) as a float, or None if there aren’t any\nmatching rows.
RegrSYYLink para este cabeçalho#Returns sum(y^2) - sum(y)^2/N (“sum of squares” of the dependent\nvariable) as a float, or None if there aren’t any matching rows.
We will use this example table:
\n| FIELD1 | FIELD2 | FIELD3 |\n|--------|--------|--------|\n| foo | 1 | 13 |\n| bar | 2 | (null) |\n| test | 3 | 13 |\nHere’s some examples of some of the general-purpose aggregation functions:
\n>>> TestModel.objects.aggregate(result=StringAgg('field1', delimiter=';'))\n{'result': 'foo;bar;test'}\n>>> TestModel.objects.aggregate(result=ArrayAgg('field2'))\n{'result': [1, 2, 3]}\n>>> TestModel.objects.aggregate(result=ArrayAgg('field1'))\n{'result': ['foo', 'bar', 'test']}\nThe next example shows the usage of statistical aggregate functions. The\nunderlying math will be not described (you can read about this, for example, at\nwikipedia):
\n>>> TestModel.objects.aggregate(count=RegrCount(y='field3', x='field2'))\n{'count': 2}\n>>> TestModel.objects.aggregate(avgx=RegrAvgX(y='field3', x='field2'),\n... avgy=RegrAvgY(y='field3', x='field2'))\n{'avgx': 2, 'avgy': 13}\n