numpy.full#

numpy.full(shape, fill_value, dtype=None, order='C', *, device=None, like=None)[source]#

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.

devicestr, optional

The device on which to place the created array. Default: None. For Array-API interoperability only, so must be "cpu" if passed.

New in version 2.0.0.

likearray_like, optional

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.

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

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>>> import numpy as np
>>> 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