numpy.full

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

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

Parameters

shapeint or sequence of ints

Shape of the new array, e.g., (2, 3) or 2.

fill_valuescalar or array_like

Fill value.

dtypedata-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.

likearray_like

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.

Note

The like keyword is an experimental feature pending on acceptance of NEP 35.

New in version 1.20.0.

Returns

outndarray

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

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]])

numpy.zeros_like numpy.full_like