full_like(a, fill_value, *args, **kwargs)

Follows the signature of full exactly except that it also features optional keyword arguments chunks: int, tuple, or dict and name: str .

Original signature follows below.

Return a new array of given shape and type, filled with :None:None:`fill_value`.

Parameters

shape : int or sequence of ints

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

fill_value : scalar or array_like

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.

like : array_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.

versionadded

Returns

out : ndarray

Array of :None:None:`fill_value` with the given shape, dtype, and order.

Blocked variant of full

See Also

empty

Return a new uninitialized array.

full_like

Return a new array with shape of input filled with value.

ones

Return a new array setting values to one.

zeros

Return a new array setting values to zero.

Examples

This example is valid syntax, but we were not able to check execution

>>> np.full((2, 2), np.inf)
array([[inf, inf],
       [inf, inf]])

This example is valid syntax, but we were not able to check execution

>>> np.full((2, 2), 10)
array([[10, 10],
       [10, 10]])

This example is valid syntax, but we were not able to check execution

>>> np.full((2, 2), [1, 2])
array([[1, 2],
       [1, 2]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.wrap.full_like

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