Fungsi-fungsi ini digambarkan lebih rinci di PostgreSQL docs.
\n\nArrayAggLink to this heading#Mengembalikan daftar nilai, termasuk null, disambungkan kedalam larik.
\nBitAndLink to this heading#Mengembalikan sebuah int dari bitwise AND dari semua nilai-nilai masukan bukan-null, atau None jika semua nilai-nilai adalah null.
BitOrLink to this heading#Mengembalikan sebuah int dari bitwise OR dari semua nilai-nilai masukan bukan-null, atau None jika semua nilai-nilai adalah null.
BoolAndLink to this heading#Mengembalikan True, jika semua nilai-nilai masukan adalah true, None jika semua nilai-nilai adalah null jika tidak ada nilai, jika tidak False.
BoolOrLink to this heading#Mengembalikan True, jika setidaknya satu nilai masukan adalah true, None jika semua nilai-nilai adalah null atau, j jika tidak ada nilai, jika tidak False.
JSONBAggLink to this heading#Returns the input values as a JSON array. Requires PostgreSQL ≥ 9.5.
StringAggLink to this heading#Mengembalikan nilai-nilai masukan digabungkan kedalam string, dipisah berdasarkan string delimiter
Diwajibkan argumen. Butuh berupa sebuah string.
\nAn optional boolean argument that determines if concatenated values\nwill be distinct. Defaults to False.
y dan xLink to this heading#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 to this heading#Returns the correlation coefficient as a float, or None if there\naren't any matching rows.
CovarPopLink to this heading#Returns the population covariance as a float, or None if there\naren't any matching rows.
Mempunyai satu argumen pilihan:
\nBy default CovarPop returns the general population covariance.\nHowever, if sample=True, the return value will be the sample\npopulation covariance.
RegrAvgXLink to this heading#Returns the average of the independent variable (sum(x)/N) as a\nfloat, or None if there aren't any matching rows.
RegrAvgYLink to this heading#Returns the average of the dependent variable (sum(y)/N) as a\nfloat, or None if there aren't any matching rows.
RegrCountLink to this heading#Returns an int of the number of input rows in which both expressions\nare not null.
RegrInterceptLink to this heading#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 to this heading#Returns the square of the correlation coefficient as a float, or\nNone if there aren't any matching rows.
RegrSlopeLink to this heading#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 to this heading#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 to this heading#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 to this heading#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.
Kami akan gunakan tabel contoh ini
\n| FIELD1 | FIELD2 | FIELD3 |\n|--------|--------|--------|\n| foo | 1 | 13 |\n| bar | 2 | (null) |\n| test | 3 | 13 |\nIni adalah beberapa contoh dari beberapa fungsi-fungsi pengumpulan tujuan-umum:
\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']}\nContoh selanjutnya menunjukkan penggunaan dari fungsi-fungsi pengumpulan statistik. Jalur pokok akan tidak digambarkan (anda dapat membaca tentang ini, sebagai contoh, pada wikipedia):
\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