xorbits.numpy.full#

xorbits.numpy.full(shape, fill_value, dtype=None, chunk_size=None, gpu=None, order='C')[source]#

Return a new array of given shape and type, filled with fill_value.

Parameters

  • shape (int or sequence of ints) – Shape of the new array, e.g., (2, 3) or 2.

  • fill_value (scalar or array_like) – Fill value.

  • dtype (data-type, optional) –

    The desired data-type for the array The default, None, means

    np.array(fill_value).dtype.

  • order ({'C', 'F'}, optional) – Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.

  • like (array_like, optional (Not supported yet)) –

    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.

    New in version 1.20.0(numpy).

Returns

out – Array of fill_value with the given shape, dtype, and order.

Return type

ndarray

See also

full_like

Return a new array with shape of input filled with value.

empty

Return a new uninitialized array.

ones

Return a new array setting values to one.

zeros

Return a new array setting values to zero.

Examples

>>> np.full((2, 2), np.inf)  
array([[inf, inf],
       [inf, inf]])
>>> np.full((2, 2), 10)  
array([[10, 10],
       [10, 10]])

>>> np.full((2, 2), [1, 2])  
array([[1, 2],
       [1, 2]])

This docstring was copied from numpy.