Struct Interval 

pub struct Interval {
    pub left: f64,
    pub right: f64,
    pub closed: IntervalClosed,
}

A bounded numeric interval between two f64 endpoints.

Matches pd.Interval(left, right, closed) on the numeric-subtype path. Accessors match pandas: .left, .right, .closed, .length, .mid, .contains, .is_empty, .overlaps.

Fields

left: f64

right: f64

closed: IntervalClosed

Implementations

impl Interval

pub const fn new(left: f64, right: f64, closed: IntervalClosed) -> Self

Construct an interval. No validation on left <= right — pandas also accepts reversed intervals (they’re non-empty only if empty-by-design).

pub fn length(&self) -> f64

right - left (pandas .length). Negative for reversed intervals.

pub fn mid(&self) -> f64

Midpoint (left + right) / 2 (pandas .mid).

pub fn is_empty(&self) -> bool

Empty iff endpoints coincide AND at least one side is open. Pandas semantics: pd.Interval(3, 3, 'right').is_empty → True.

pub fn contains(&self, value: f64) -> bool

Does value fall inside this interval?

NaN always returns false, matching pandas pd.Interval.__contains__ behavior (NaN doesn’t compare equal to anything).

pub fn overlaps(&self, other: &Self) -> bool

Do self and other share any point?

Matches pd.Interval.overlaps(other). Two intervals overlap iff the max of their lefts is less than the min of their rights, with endpoint-inclusion determining the strictness of the comparison when they touch exactly.

pub fn parse(s: &str) -> Result<Self, TypeError>

Parse an interval string. Supports bracket notation:

• ‘[0, 1]’ -> closed on both ends
• ‘(0, 1)’ -> open on both ends
• ‘[0, 1)’ -> closed left, open right (pandas default)
• ‘(0, 1]’ -> open left, closed right

Trait Implementations

impl Clone for Interval

fn clone(&self) -> Interval

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for Interval

impl Debug for Interval

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Interval

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Interval

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Matches str(pd.Interval(...)) for the interval[float64] subtype, which is the only subtype FrankenPandas stores (f64 endpoints): the endpoints render with Python str(float) semantics, so whole numbers KEEP “.0” (str(pd.Interval(0.0, 5.0, 'right')) is "(0.0, 5.0]", not "(0, 5]"). Verified vs pandas 2.2.3 across whole/fractional/negative/scientific endpoints. (br-frankenpandas-5xw1b)

impl PartialEq for Interval

fn eq(&self, other: &Interval) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Interval

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Interval