var grouped = ranges.Select(r => new { Price = r, Count = data.Where(x => x.Price >= r).Count() }); 

另一种选择（如果您有大量数据，那么分组比枚举每个价格组的所有数据更好）：

 var priceGroups = data.GroupBy(x => ranges.FirstOrDefault(r => r > x.Price)) .Select(g => new { Price = g.Key, Count = g.Count() }) .ToList(); var grouped = ranges.Select(r => new { Price = r, Count = priceGroups.Where(g => g.Price > r || g.Price == 0).Sum(g => g.Count) }); 

对源进行分组，每个项目都分配给一个组。

你有什么是一个良好的开端：

 var data = new[] { new { Id = 0, Price = 2 }, new { Id = 1, Price = 10 }, new { Id = 2, Price = 30 }, new { Id = 3, Price = 50 }, new { Id = 4, Price = 120 }, new { Id = 5, Price = 200 }, new { Id = 6, Price = 1024 }, }; var ranges = new[] { 10, 50, 100, 500 }; var grouped = data.GroupBy( x => ranges.FirstOrDefault( r => r <= x.Price ) ); 

跟进：

 int soFar = 0; Dictionary counts = grouped.ToDictionary(g => g.Key, g => g.Count()); foreach(int key in counts.Keys.OrderByDescending(i => i)) { soFar += counts[key]; counts[key] = soFar; } 

或者，如果您想在一个linq语句中执行此操作：

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 int soFar = 0; var grouped = data .GroupBy( x => ranges.FirstOrDefault( r => r <= x.Price ) ) .OrderByDescending(g => g.Key) .Select(g => { soFar += g.Count(); return new Tuple(g.Key, soFar) });