I have a list of points (List)
I want to use linq expression to get the point closest to 0,0. For example - for this list I expect 5,42 value.
How to find point closest to 0,0 point with LINQ?
The following finds the point with the lowest L^2
norm (most common definition of "distance" in two dimensions) without performing an expensive sort of the whole list:
var closestToOrigin = points
.Select(p => new { Point = p, Distance2 = p.X * p.X + p.Y * p.Y })
.Aggregate((p1, p2) => p1.Distance2 < p2.Distance2 ? p1 : p2)
.Point;
Try this:
List<Point> points = new List<Point>();
// populate list
var p = points.OrderBy(p => p.X * p.X + p.Y * p.Y).First();
or more fast solution:
var p = points.Aggregate(
(minPoint, next) =>
(minPoint.X * minPoint.X + minPoint.Y * minPoint.Y)
< (next.X * next.X + next.Y * next.Y) ? minPoint : next);
As an alternative approach, you might consider adding to your standard libraries an implementation of IEnumerable.MinBy() and IEnumerable.MaxBy().
If you have that available, the code becomes simply:
var result = points.MinBy( p => p.X*p.X + p.Y*p.Y );
Jon Skeet has provided a good implementation of MinBy and MaxBy.
He talks about it here: How to use LINQ to select object with minimum or maximum property value
The links from there are out of date though; the latest version is here:
http://code.google.com/p/morelinq/source/browse/MoreLinq/MinBy.cs
http://code.google.com/p/morelinq/source/browse/MoreLinq/MaxBy.cs
Here's a full sample. Clearly, this is a sledgehammer to crack a nut, BUT I think these methods are useful enough to include in your standard libraries:
using System;
using System.Collections.Generic;
using System.Drawing;
namespace Demo
{
public static class EnumerableExt
{
public static TSource MinBy<TSource, TKey>(this IEnumerable<TSource> source, Func<TSource, TKey> selector, IComparer<TKey> comparer)
{
using (IEnumerator<TSource> sourceIterator = source.GetEnumerator())
{
if (!sourceIterator.MoveNext())
{
throw new InvalidOperationException("Sequence was empty");
}
TSource min = sourceIterator.Current;
TKey minKey = selector(min);
while (sourceIterator.MoveNext())
{
TSource candidate = sourceIterator.Current;
TKey candidateProjected = selector(candidate);
if (comparer.Compare(candidateProjected, minKey) < 0)
{
min = candidate;
minKey = candidateProjected;
}
}
return min;
}
}
public static TSource MinBy<TSource, TKey>(this IEnumerable<TSource> source, Func<TSource, TKey> selector)
{
return source.MinBy(selector, Comparer<TKey>.Default);
}
}
public static class Program
{
static void Main(string[] args)
{
List<Point> points = new List<Point>
{
new Point(7, 43),
new Point(7, 42),
new Point(6, 42),
new Point(5, 42),
new Point(6, 43),
new Point(5, 43)
};
var result = points.MinBy( p => p.X*p.X + p.Y*p.Y );
Console.WriteLine(result);
}
}
}
Rawling's solution is definitely shorter, but here's an alternative
// project every element to get a map between it and the square of the distance
var map = pointsList
.Select(p => new { Point = p, Distance = p.x * p.x + p.y * p.y });
var closestPoint = map // get the list of points with the min distance
.Where(m => m.Distance == map.Min(t => t.Distance))
.First() // get the first item in that list (guaranteed to exist)
.Point; // take the point
In case you need to find all the elements that have the shortest distance to 0,0
, simply remove First
and do a Select(p => p.Point)
to get the points (as opposed to the mapping).
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