asanyarray(a, dtype=None, order=None, *, like=None)

Parameters

a : array_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.

dtype : data-type, optional

By default, the data-type is inferred from the input data.

order : {'C', 'F', 'A', 'K'}, optional

Memory layout. 'A' and 'K' depend on the order of input array a. 'C' row-major (C-style), 'F' column-major (Fortran-style) memory representation. 'A' (any) means 'F' if a is Fortran contiguous, 'C' otherwise 'K' (keep) preserve input order Defaults to 'C'.

like : array_like

Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like supports the __array_function__ protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.

versionadded

Returns

out : ndarray or an ndarray subclass

Array interpretation of a. If a is an ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.

Convert the input to an ndarray, but pass ndarray subclasses through.

See Also

asarray

Similar function which always returns ndarrays.

asarray_chkfinite

Similar function which checks input for NaNs and Infs.

ascontiguousarray

Convert input to a contiguous array.

asfarray

Convert input to a floating point ndarray.

asfortranarray

Convert input to an ndarray with column-major memory order.

fromfunction

Construct an array by executing a function on grid positions.

fromiter

Create an array from an iterator.

Examples

Convert a list into an array:

>>> a = [1, 2]
... np.asanyarray(a)
array([1, 2])

Instances of ndarray subclasses are passed through as-is:

>>> a = np.array([(1.0, 2), (3.0, 4)], dtype='f4,i4').view(np.recarray)
... np.asanyarray(a) is a
True

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.asarray numpy.asarray_chkfinite matplotlib.cbook._reshape_2D numpy.asfortranarray numpy.require numpy.ma.core.asarray

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