numpy.asanyarray#

numpy.asanyarray(a,dtype=None,order=None,*,device=None,copy=None,like=None)#

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

Parameters:

aarray_like

Input data, in any form that can be converted to an array. Thisincludes scalars, lists, lists of tuples, tuples, tuples of tuples,tuples of lists, and ndarrays.

dtypedata-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’ ifa is Fortran contiguous, ‘C’ otherwise‘K’ (keep) preserve input orderDefaults to ‘C’.

devicestr, optional

The device on which to place the created array. Default:None.For Array-API interoperability only, so must be"cpu" if passed.

New in version 2.1.0.

copybool, optional

IfTrue, then the object is copied. IfNone then the object iscopied only if needed, i.e. if__array__ returns a copy, if objis a nested sequence, or if a copy is needed to satisfy any ofthe other requirements (dtype,order, etc.).ForFalse it raises aValueError if a copy cannot be avoided.Default:None.

New in version 2.1.0.

likearray_like, optional

Reference object to allow the creation of arrays which are notNumPy arrays. If an array-like passed in aslike supportsthe__array_function__ protocol, the result will be definedby it. In this case, it ensures the creation of an array objectcompatible with that passed in via this argument.

New in version 1.20.0.

Returns:

outndarray or an ndarray subclass

Array interpretation ofa. Ifa is an ndarray or a subclassof ndarray, it is returned as-is and no copy is performed.

See also

asarray

Similar function which always returns ndarrays.

ascontiguousarray

Convert input to a contiguous array.

asfortranarray

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

asarray_chkfinite

Similar function which checks input for NaNs and Infs.

fromiter

Create an array from an iterator.

fromfunction

Construct an array by executing a function on grid positions.

Examples

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Convert a list into an array:

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

Instances ofndarray subclasses are passed through as-is:

>>>a=np.array([(1.,2),(3.,4)],dtype='f4,i4').view(np.recarray)>>>np.asanyarray(a)isaTrue

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