nlcpy.asarray

nlcpy.asarray(a, dtype=None, order=None)[source]

Converts the input to an array.

Parameters

aarray_like: Input data, in any form that can be converted to an array. This includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
dtypedtype, optional: By default, the dtype is inferred from the input data.
order{‘C’, ‘F’}, optional: Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’.

Returns

outndarray: Array interpretation of a. No copy is performed if the input is already an ndarray with matching and order. If a is a subclass of ndarray, a base class ndarray is returned.

See also

asanyarray: Converts the input to an array, but pass ndarray subclasses through.

Examples

Convert a list into an array:

>>> import nlcpy as vp
>>> a = [1, 2]
>>> vp.asarray(a)
array([1, 2])

Existing arrays are not copied:

>>> a = vp.array([1, 2])
>>> vp.asarray(a) is a
True

If dtype is set, array is copied only if dtype does not match:

>>> a = vp.array([1, 2], dtype=vp.float32)
>>> vp.asarray(a, dtype=vp.float32) is a
True
>>> vp.asarray(a, dtype=vp.float64) is a
False