asanyarray(a, dtype=None, order=None)¶
Convert the input to an ndarray, but pass ndarray subclasses through.
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.
By default, the data-type is inferred from the input data.
Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’.
Array interpretation of a. If a is an ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.
Similar function which always returns ndarrays.
Convert input to a contiguous array.
Convert input to a floating point ndarray.
Convert input to an ndarray with column-major memory order.
Similar function which checks input for NaNs and Infs.
Create an array from an iterator.
Construct an array by executing a function on grid positions.
Convert a list into an array:
>>> a = [1, 2] >>> np.asanyarray(a) array([1, 2])
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