In MongoDB, the $atan2
aggregation pipeline operator returns the arctangent (inverse tangent) of one value divided by another.
You provide the two values in an array. Each of the two values provided to $atan2
can be any valid expression that resolves to a number.
The return value is in radians.
The $atan2
operator was introduced in MongoDB 4.2.
Example
Suppose we have a collection called data
with the following document:
{ "_id" : 1, "a" : 2, "b" : 3 }
We can use the $atan2
operator to return the arctangent of the a
field divided by the b
field:
db.data.aggregate(
[
{ $match: { _id: 1 } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "arctangent" : 0.5880026035475675 }
Convert to Degrees
As mentioned, $atan2
returns its result in radians. You can use the $radiansToDegrees
operator if you want the result in degrees.
Example:
db.data.aggregate(
[
{ $match: { _id: 1 } },
{ $project: {
_id: 0,
radians: { $atan2: [ "$a", "$b" ] },
degrees: { $radiansToDegrees: { $atan2: [ "$a", "$b" ] } }
}
}
]
)
Result:
{ "radians" : 0.5880026035475675, "degrees" : 33.690067525979785 }
In this example, the first field presents the result in radians, and the second field presents it in degrees.
128-Bit Decimal Values
By default, the $atan2
operator returns values as a double
, but it can also return values as a 128-bit decimal as long as the expression resolves to a 128-bit decimal value.
This is the case even when only one of the expressions is 128-bit decimal.
Suppose we add the following documents to our collection:
{ "_id" : 2, "a" : NumberDecimal("1.1301023541559787031443874490659"), "b" : NumberDecimal("2.1301023541559787031443874490659") }
{ "_id" : 3, "a" : 2, "b" : NumberDecimal("2.1301023541559787031443874490659") }
{ "_id" : 4, "a" : NumberDecimal("2.1301023541559787031443874490659"), "b" : 2 }
Let’s run the the $atan2
operator against those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 2, 3, 4 ] } } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "arctangent" : NumberDecimal("0.4877792766738730791507215461936449") } { "arctangent" : NumberDecimal("0.7539075768401526572881006364456838") } { "arctangent" : NumberDecimal("0.8168887499547439619432210551940676") }
In all cases, the output is 128-bit decimal.
Null Values
Null values return null
when using the $atan2
operator. This is true even if the only one of the expressions is null
.
Suppose we add the following documents to our collection:
{ "_id" : 5, "a" : null, "b" : 2 } { "_id" : 6, "a" : 2, "b" : null } { "_id" : 7, "a" : 2, "null" : null }
Let’s run the the $atan2
operator against those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 5, 6, 7 ] } } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "arctangent" : null } { "arctangent" : null } { "arctangent" : null }
We can see that the result is null
in all cases.
NaN Values
If the argument resolves to NaN
, $atan2
returns NaN
.
Example:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 2, 3, 4 ] } } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a" * 1, "$b" ] }
}
}
]
)
Result:
{ "arctangent" : NumberDecimal("NaN") } { "arctangent" : NumberDecimal("NaN") } { "arctangent" : NaN }
Let’s change it slightly, so that we multiply field b
instead of field a
.
db.data.aggregate(
[
{ $match: { _id: { $in: [ 2, 3, 4 ] } } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a", "$b" * 1 ] }
}
}
]
)
Result:
{ "arctangent" : NumberDecimal("NaN") } { "arctangent" : NaN } { "arctangent" : NumberDecimal("NaN") }
And now let’s multiply both fields:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 2, 3, 4 ] } } },
{ $project: {
_id: 0,
arctangent: { $atan2: [ "$a" * 1, "$b" * 1 ] }
}
}
]
)
Result:
{ "arctangent" : NaN } { "arctangent" : NaN } { "arctangent" : NaN }
Non-Existent Fields
If the $atan2
operator is applied against a field that doesn’t exist, null
is returned.
Example:
db.data.aggregate(
[
{ $match: { _id: 1 } },
{ $project: {
_id: 0,
result: { $atan2: [ "$a", "$name" ] }
}
}
]
)
Result:
{ "result" : null }