numpy.full

numpy.full(shape, fill_value, dtype=None, order='C')

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

Fill value.

dtype : data-type, optional

The desired data-type for the array, e.g., np.int8. Default is float, but will change to np.array(fill_value).dtype in a future release.

order : {‘C’, ‘F’}, optional

Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.

Returns:

out : ndarray

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

See also

zeros_like

Return an array of zeros with shape and type of input.

ones_like

Return an array of ones with shape and type of input.

empty_like

Return an empty array with shape and type of input.

full_like

Fill an array with shape and type of input.

zeros

Return a new array setting values to zero.

ones

Return a new array setting values to one.

empty

Return a new uninitialized array.

Examples

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