I am using
First question
I ne
Let's break the problem down:
In the Distance class documentation, we can read the following:
Accepts two geographic fields or expressions and returns the distance between them, as a Distance object.
So the Distance(p1, p2) returns a Distance object.
If you do:
p1 = Instrument.objects.get(pk=151071000).coordinates
p2 = Instrument.objects.get(pk=151071008).coordinates
d = Distance(m=p1.distance(p2))
print d.m
You will get the measurement in meters.
I would stick with the annotate solution, which seems more solid! (opinionated response)
Distance calculates the 2D distance between two points. In order to get a 3D calculation, you need to create one yourself.
You can have a look at my method from this question: Calculating distance between two points using latitude longitude and altitude (elevation)
EDIT 2019: Since the initial answer I have composed a Q&A style example here: How to calculate 3D distance (including altitude) between two points in GeoDjango that uses a far better (and less calculation error-prone) distance calculation between 2 points with altitude.
In sort:
We need to calculate the 2D great-circle distance between 2 points using either the Haversine formula or the Vicenty formula and then we can combine it with the difference (delta) in altitude between the 2 points to calculate the Euclidean distance between them as follows:
dist = sqrt(great_circle((lat_1, lon_1), (lat-2, lon_2).m**2, (alt_1 - alt_2)**2)
The solution assumes that the altitude is in meters and thus converts the great_circle's result into meters as well.
Leaving this here for comment continuation purposes.
2. Distance calculates the 2D distance between two points. In order to get a 3D calculation, you need to create one yourself.
You can have a look at my method from this question: Calculating distance between two points using latitude longitude and altitude (elevation)
Let polar_point_1 = (long_1, lat_1, alt_1) and polar_point_2 = (long_2, lat_2, alt_2)
Translate each point to it's Cartesian equivalent by utilizing this formula:
x = alt * cos(lat) * sin(long) y = alt * sin(lat) z = alt * cos(lat) * cos(long)and you will have p_1 = (x_1, y_1, z_1) and p_2 = (x_2, y_2, z_2) points respectively.
Finally use the Euclidean formula:
dist = sqrt((x_2-x_1)**2 + (y_2-y_1)**2 + (z_2-z_1)**2)