Struct ndarray_stats::histogram::Bins[][src]

pub struct Bins<A: Ord> { /* fields omitted */ }

Bins is a sorted collection of non-overlapping 1-dimensional intervals.

All intervals are left-inclusive and right-exclusive.

Example:

use ndarray_stats::histogram::{Edges, Bins};
use noisy_float::types::n64;

let edges = Edges::from(vec![n64(0.), n64(1.), n64(2.)]);
let bins = Bins::new(edges);
// first bin
assert_eq!(
    bins.index(0),
    n64(0.)..n64(1.) // n64(1.) is not included in the bin!
);
// second bin
assert_eq!(
    bins.index(1),
    n64(1.)..n64(2.)
);

Implementations

impl<A: Ord> Bins<A>[src]

pub fn new(edges: Edges<A>) -> Self[src]

Given a collection of Edges, it returns the corresponding Bins instance.

pub fn len(&self) -> usize[src]

Returns the number of bins.

Example:

use ndarray_stats::histogram::{Edges, Bins};
use noisy_float::types::n64;

let edges = Edges::from(vec![n64(0.), n64(1.), n64(2.)]);
let bins = Bins::new(edges);
assert_eq!(
    bins.len(),
    2
);

pub fn index_of(&self, value: &A) -> Option<usize>[src]

Given value, it returns:

  • Some(i), if the i-th bin in self contains value;
  • None, if value does not belong to any of the bins in self.

Example:

use ndarray_stats::histogram::{Edges, Bins};

let edges = Edges::from(vec![0, 2, 4, 6]);
let bins = Bins::new(edges);
let value = 1;
assert_eq!(
    bins.index_of(&1),
    Some(0)
);
assert_eq!(
    bins.index(bins.index_of(&1).unwrap()),
    0..2
);

pub fn range_of(&self, value: &A) -> Option<Range<A>> where
    A: Clone
[src]

Given value, it returns:

  • Some(left_edge..right_edge), if there exists a bin in self such that left_edge <= value < right_edge;
  • None, otherwise.

Example:

use ndarray_stats::histogram::{Edges, Bins};

let edges = Edges::from(vec![0, 2, 4, 6]);
let bins = Bins::new(edges);
assert_eq!(
    bins.range_of(&1),
    Some(0..2)
);
assert_eq!(
    bins.range_of(&10),
    None
);

pub fn index(&self, index: usize) -> Range<A> where
    A: Clone
[src]

Get the i-th bin.

Panics if index is out of bounds.

Example:

use ndarray_stats::histogram::{Edges, Bins};

let edges = Edges::from(vec![1, 5, 10, 20]);
let bins = Bins::new(edges);
assert_eq!(
    bins.index(1),
    5..10
);

Trait Implementations

impl<A: Clone + Ord> Clone for Bins<A>[src]

impl<A: Debug + Ord> Debug for Bins<A>[src]

impl<A: Eq + Ord> Eq for Bins<A>[src]

impl<A: PartialEq + Ord> PartialEq<Bins<A>> for Bins<A>[src]

impl<A: Ord> StructuralEq for Bins<A>[src]

impl<A: Ord> StructuralPartialEq for Bins<A>[src]

Auto Trait Implementations

impl<A> RefUnwindSafe for Bins<A> where
    A: RefUnwindSafe

impl<A> Send for Bins<A> where
    A: Send

impl<A> Sync for Bins<A> where
    A: Sync

impl<A> Unpin for Bins<A> where
    A: Unpin

impl<A> UnwindSafe for Bins<A> where
    A: UnwindSafe

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<Q, K> Equivalent<K> for Q where
    K: Borrow<Q> + ?Sized,
    Q: Eq + ?Sized
[src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>, 
[src]