bundles / numpy 2.4.4 / numpy / full
_ArrayFunctionDispatcher
numpy:full
source: /numpy/_core/numeric.py :323
Signature
def full ( shape , fill_value , dtype = None , order = C , * , device = None , like = None ) Summary
Return a new array of given shape and type, filled with fill_value.
Parameters
shape: int or sequence of intsShape of the new array, e.g.,
(2, 3)or2.fill_value: scalar or array_likeFill value.
dtype: data-type, optionalThe desired data-type for the array The default, None, means
np.array(fill_value).dtype.
order: {'C', 'F'}, optionalWhether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
device: str, optionalThe device on which to place the created array. Default: None. For Array-API interoperability only, so must be
"cpu"if passed.like: array_like, optionalReference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as
likesupports 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.
Returns
out: ndarrayArray of
fill_valuewith the given shape, dtype, and order.
Examples
import numpy as np np.full((2, 2), np.inf) np.full((2, 2), 10)✓
np.full((2, 2), [1, 2])
✓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.
Aliases
-
numpy.full -
numpy._core.numeric._full_with_like