Array creation routines

From shape or value

empty(shape[, dtype, order, like])	Return a new array of given shape and type, without initializing entries.
empty_like(prototype[, dtype, order, subok, ...])	Return a new array with the same shape and type as a given array.
eye(N[, M, k, dtype, sparse, gpu, ...])	Return a 2-D array with ones on the diagonal and zeros elsewhere.
identity(n[, dtype, sparse, gpu, chunk_size])	Return the identity array.
ones(shape[, dtype, chunk_size, gpu, order])	Return a new array of given shape and type, filled with ones.
ones_like(a[, dtype, gpu, order])	Return an array of ones with the same shape and type as a given array.
zeros(shape[, dtype, order, like])	Return a new array of given shape and type, filled with zeros.
zeros_like(a[, dtype, gpu, order])	Return an array of zeros with the same shape and type as a given array.
full(shape, fill_value[, dtype, chunk_size, ...])	Return a new array of given shape and type, filled with fill_value.
full_like(a, fill_value[, dtype, gpu, order])	Return a full array with the same shape and type as a given array.

From existing data

array(x[, dtype, copy, order, ndmin, chunk_size])	array(object, dtype=None, *, copy=True, order='K', subok=False, ndmin=0,
asarray(a[, dtype, order, like])	Convert the input to an array.
asanyarray(a[, dtype, order, like])	Convert the input to an ndarray, but pass ndarray subclasses through.
ascontiguousarray(a[, dtype, like])	Return a contiguous array (ndim >= 1) in memory (C order).
asmatrix(data[, dtype])	Interpret the input as a matrix.
copy(a[, order])	Return an array copy of the given object.
frombuffer(buffer[, dtype, count, offset, like])	Interpret a buffer as a 1-dimensional array.
from_dlpack(x, /)	Create a NumPy array from an object implementing the __dlpack__ protocol.
fromfile(file[, dtype, count, sep, offset, like])	Construct an array from data in a text or binary file.
fromfunction(function, shape, *[, dtype, like])	Construct an array by executing a function over each coordinate.
fromiter(iter, dtype[, count, like])	Create a new 1-dimensional array from an iterable object.
fromstring(string[, dtype, count, like])	A new 1-D array initialized from text data in a string.
loadtxt(fname[, dtype, comments, delimiter, ...])	Load data from a text file.

Numerical ranges

arange([start,] stop[, step,][, dtype, like])	Return evenly spaced values within a given interval.
linspace(start, stop[, num, endpoint, ...])	Return evenly spaced numbers over a specified interval.
logspace(start, stop[, num, endpoint, base, ...])	Return numbers spaced evenly on a log scale.
geomspace(start, stop[, num, endpoint, ...])	Return numbers spaced evenly on a log scale (a geometric progression).
meshgrid(*xi, **kwargs)	Return a list of coordinate matrices from coordinate vectors.
mgrid	An instance which returns a dense multi-dimensional "meshgrid".
ogrid	An instance which returns an open multi-dimensional "meshgrid".

Building matrices

diag(v[, k, sparse, gpu, chunk_size])	Extract a diagonal or construct a diagonal array.
diagflat(v[, k, sparse, gpu, chunk_size])	Create a two-dimensional array with the flattened input as a diagonal.
tri(N[, M, k, dtype, chunk_size, gpu])	An array with ones at and below the given diagonal and zeros elsewhere.
tril(m[, k, gpu])	Lower triangle of an array.
triu(m[, k, gpu])	Upper triangle of an array.
vander(x[, N, increasing])	Generate a Vandermonde matrix.

The Matrix class

mat(data[, dtype])	Interpret the input as a matrix.
bmat(obj[, ldict, gdict])	Build a matrix object from a string, nested sequence, or array.