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numpy.full_like

numpy.full

numpy.full(shape, fill_value, dtype=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

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]])