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numpy.full_like

# 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 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.
  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)
      array([[10, 10],
             [10, 10]])