[−][src]Trait math::iter::weighted_sum::WeightedSum
Example
use math::{ interval::I64Interval, iter::{ binned_interval_iter::{AggregateOp, IntoBinnedIntervalIter}, weighted_sum::WeightedSum, }, partition::integer_interval_map::IntegerIntervalMap, }; let bin_size = 5; let mut interval_map = IntegerIntervalMap::new(); interval_map.aggregate(I64Interval::new(-1, 1), 2); interval_map.aggregate(I64Interval::new(14, 17), -1); // interval coordinates | value // -1 | 0 1 | ... | | | +2 // | | ... | 14 | 15 16 17 | -1 //--------------------------------------------- // 0.4|| 0.8 || ... || -0.2 || -0.6 | bin average assert_eq!( interval_map .iter() .into_binned_interval_iter( bin_size, AggregateOp::Average, Box::new(|(&interval, &val)| (interval, val as f64)) ) .weighted_sum(), 2.0 );
Required methods
pub fn weighted_sum(self) -> V
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Implementors
impl<I, P, Dtype> WeightedSum<(P, Dtype), Dtype> for I where
I: Iterator<Item = (P, Dtype)>,
P: Finite,
Dtype: Float + FromPrimitive,
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I: Iterator<Item = (P, Dtype)>,
P: Finite,
Dtype: Float + FromPrimitive,