Struct ndarray_stats::histogram::Edges
source · [−]pub struct Edges<A: Ord> { /* private fields */ }
Expand description
A sorted collection of type A
elements used to represent the boundaries of intervals, i.e.
Bins
on a 1-dimensional axis.
Note that all intervals are left-closed and right-open. See examples below.
Examples
use ndarray_stats::histogram::{Bins, Edges};
use noisy_float::types::n64;
let unit_edges = Edges::from(vec![n64(0.), n64(1.)]);
let unit_interval = Bins::new(unit_edges);
// left-closed
assert_eq!(
unit_interval.range_of(&n64(0.)).unwrap(),
n64(0.)..n64(1.),
);
// right-open
assert_eq!(
unit_interval.range_of(&n64(1.)),
None
);
Implementations
sourceimpl<A: Ord> Edges<A>
impl<A: Ord> Edges<A>
sourcepub fn len(&self) -> usize
pub fn len(&self) -> usize
Returns the number of edges in self
.
Examples
use ndarray_stats::histogram::Edges;
use noisy_float::types::n64;
let edges = Edges::from(vec![n64(0.), n64(1.), n64(3.)]);
assert_eq!(
edges.len(),
3
);
sourcepub fn is_empty(&self) -> bool
pub fn is_empty(&self) -> bool
Returns true
if self
contains no edges.
Examples
use ndarray_stats::histogram::Edges;
use noisy_float::types::{N64, n64};
let edges = Edges::<N64>::from(vec![]);
assert_eq!(edges.is_empty(), true);
let edges = Edges::from(vec![n64(0.), n64(2.), n64(5.)]);
assert_eq!(edges.is_empty(), false);
sourcepub fn as_array_view(&self) -> ArrayView1<'_, A>
pub fn as_array_view(&self) -> ArrayView1<'_, A>
Returns an immutable 1-dimensional array view of edges.
Examples
use ndarray::array;
use ndarray_stats::histogram::Edges;
let edges = Edges::from(vec![0, 5, 3]);
assert_eq!(
edges.as_array_view(),
array![0, 3, 5].view()
);
sourcepub fn indices_of(&self, value: &A) -> Option<(usize, usize)>
pub fn indices_of(&self, value: &A) -> Option<(usize, usize)>
Returns indices of two consecutive edges
in self
, if the interval they represent
contains the given value
, or returns None
otherwise.
That is to say, it returns
Some((left, right))
, whereleft
andright
are the indices of two consecutive edges inself
andright == left + 1
, ifself[left] <= value < self[right]
;None
, otherwise.
Examples
use ndarray_stats::histogram::Edges;
let edges = Edges::from(vec![0, 2, 3]);
// `1` is in the interval [0, 2), whose indices are (0, 1)
assert_eq!(
edges.indices_of(&1),
Some((0, 1))
);
// `5` is not in any of intervals
assert_eq!(
edges.indices_of(&5),
None
);
Trait Implementations
sourceimpl<A: Ord + Clone> From<ArrayBase<OwnedRepr<A>, Dim<[usize; 1]>>> for Edges<A>
impl<A: Ord + Clone> From<ArrayBase<OwnedRepr<A>, Dim<[usize; 1]>>> for Edges<A>
sourcefn from(edges: Array1<A>) -> Self
fn from(edges: Array1<A>) -> Self
Converts an Array1<A>
into an Edges<A>
, consuming the 1-dimensional array.
The array will be sorted in increasing order using an unstable sorting algorithm, with
duplicates removed.
Current implementation
The current sorting algorithm is the same as std::slice::sort_unstable()
,
which is based on pattern-defeating quicksort.
This sort is unstable (i.e., may reorder equal elements), in-place (i.e., does not allocate) , and O(n log n) worst-case.
Examples
use ndarray_stats::histogram::Edges;
let edges = Edges::from(vec![1, 15, 10, 20]);
// The vec gets sorted!
assert_eq!(
edges[1],
10
);
sourceimpl<A: Ord> From<Vec<A, Global>> for Edges<A>
impl<A: Ord> From<Vec<A, Global>> for Edges<A>
sourcefn from(edges: Vec<A>) -> Self
fn from(edges: Vec<A>) -> Self
Converts a Vec<A>
into an Edges<A>
, consuming the edges.
The vector will be sorted in increasing order using an unstable sorting algorithm, with
duplicates removed.
Current implementation
The current sorting algorithm is the same as std::slice::sort_unstable()
,
which is based on pattern-defeating quicksort.
This sort is unstable (i.e., may reorder equal elements), in-place (i.e., does not allocate) , and O(n log n) worst-case.
Examples
use ndarray::array;
use ndarray_stats::histogram::Edges;
let edges = Edges::from(array![1, 15, 10, 10, 20]);
// The array gets sorted!
assert_eq!(
edges[2],
15
);
sourceimpl<A: Ord> Index<usize> for Edges<A>
impl<A: Ord> Index<usize> for Edges<A>
sourceimpl<A: PartialEq + Ord> PartialEq<Edges<A>> for Edges<A>
impl<A: PartialEq + Ord> PartialEq<Edges<A>> for Edges<A>
impl<A: Eq + Ord> Eq for Edges<A>
impl<A: Ord> StructuralEq for Edges<A>
impl<A: Ord> StructuralPartialEq for Edges<A>
Auto Trait Implementations
impl<A> RefUnwindSafe for Edges<A> where
A: RefUnwindSafe,
impl<A> Send for Edges<A> where
A: Send,
impl<A> Sync for Edges<A> where
A: Sync,
impl<A> Unpin for Edges<A> where
A: Unpin,
impl<A> UnwindSafe for Edges<A> where
A: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<Q, K> Equivalent<K> for Q where
Q: Eq + ?Sized,
K: Borrow<Q> + ?Sized,
impl<Q, K> Equivalent<K> for Q where
Q: Eq + ?Sized,
K: Borrow<Q> + ?Sized,
sourcefn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Compare self to key
and return true
if they are equal.