numpy.asanyarray¶

numpy.asanyarray(a,dtype=None,order=None)[source]¶

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

Parameters:	a : array_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. dtype : data-type, optional By default, the data-type 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:	out : ndarray 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.

asfarray

Convert input to a floating point ndarray.

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

Convert a list into an array:

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

Instances ofndarray subclasses are passed through as-is:

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