IntervalProd

class odl.set.domain.IntervalProd(min_pt, max_pt)

Bases: odl.set.sets.Set

An n-dimensional rectangular box.

An interval product is a Cartesian product of n intervals, i.e. an n-dimensional rectangular box aligned with the coordinate axes as a subset of the n-dimensional Euclidean space.

IntervalProd objects are immutable, hence all manipulation methods return a new instance.

Attributes

area

Area of this rectangle (valid if ndim == 2).

examples

Generator creating name-value pairs of set elements.

extent

Return the vector of interval lengths per axis.

length

Length of this interval (valid for ndim == 1).

max_pt

Right interval boundaries of this interval product.

mid_pt

Midpoint of this interval product.

min_pt

Left interval boundaries of this interval product.

ndim

Number of intervals in the product.

nondegen_byaxis

Boolean array with True entries for non-degenerate axes.

true_ndim

Number of non-degenerate (positive-length) intervals.

volume

ndim-dimensional volume of this interval product.

Methods

append(self, \*intvs)	Insert intvs at the end as a block.
approx_contains(self, point, atol)	Return True if point is “almost” contained in this set.
approx_equals(self, other, atol)	Return True if other is equal to this set up to atol.
collapse(self, indices, values)	Partly collapse the interval product to single values.
contains_all(self, other[, atol])	Return True if all points defined by other are contained.
contains_set(self, other[, atol])	Return True if other is (almost) contained in this set.
corners(self[, order])	Return the corner points as a single array.
dist(self, point[, exponent])	Return the distance of point to this set.
element(self[, inp])	Return an element of this interval product.
insert(self, index, \*intvs)	Return a copy with intvs inserted before index.
max(self)	Return the maximum point of this interval product.
measure(self[, ndim])	Return the Lebesgue measure of this interval product.
min(self)	Return the minimum point of this interval product.
squeeze(self)	Remove the degenerate dimensions.

__init__(self, min_pt, max_pt)

Initialize a new instance.

Parameters

min_pt, max_ptfloat or array-like

Vectors of lower/upper ends of the intervals in the product.

Examples

>>> min_pt, max_pt = [-1, 2.5, 70], [-0.5, 10, 75]
>>> rbox = odl.IntervalProd(min_pt, max_pt)
>>> rbox
IntervalProd([ -1. ,   2.5,  70. ], [ -0.5,  10. ,  75. ])