Expression builders¶
xtensor provides functions to ease the build of common N-dimensional expressions. The expressions returned by these functions implement the laziness of xtensor, that is, they don’t hold any value. Values are computed upon request.
Ones and zeros¶
zeros(shape)
: generates an expression containing zeros of the specified shape.ones(shape)
: generates an expression containing ones of the specified shape.eye(shape, k=0)
: generates an expression of the specified shape, with ones on the k-th diagonal.eye(n, k = 0)
: generates an expression with ones on the k-th diagonal.
Numerical ranges¶
arange(start=0, stop, step=1)
: generates numbers evenly spaced within given half-open interval.linspace(start, stop, num_samples)
: generates num_samples evenly spaced numbers over given interval.logspace(start, stop, num_samples)
: generates num_samples evenly spaced on a log scale over given interval
Joining expressions¶
concatenate(tuple, axis=0)
: concatenates a list of expressions along the given axis.stack(tuple, axis=0)
: stacks a list of expressions along the given axis.
Random distributions¶
rand(shape, lower, upper)
: generates an expression of the specified shape, containing uniformly distributed random numbers in the half-open interval [lower, upper).randint(shape, lower, upper)
: generates an expression of the specified shape, containing uniformly distributed random integers in the half-open interval [lower, upper).randn(shape, mean, std_dev)
: generates an expression of the specified shape, containing numbers sampled from the Normal random number distribution.
Meshes¶
meshgrid(x1, x2,...)`
: generates N-D coordinate expressions given one-dimensional coordinate arraysx1
,x2
… If specified vectors have lengthsNi = len(xi)
, meshgrid returns(N1, N2, N3,..., Nn)
-shaped arrays, with the elements of xi repeated to fill the matrix along the first dimension for x1, the second for x2 and so on.