bundles / numpy 2.4.3 / numpy / ones
_ArrayFunctionDispatcher
numpy:ones
source: /numpy/_core/numeric.py :170
Signature
def ones ( shape , dtype = None , order = C , * , device = None , like = None ) Summary
Return a new array of given shape and type, filled with ones.
Parameters
shape: int or sequence of intsShape of the new array, e.g.,
(2, 3)or2.dtype: data-type, optionalThe desired data-type for the array, e.g., numpy.int8. Default is numpy.float64.
order: {'C', 'F'}, optional, default: CWhether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) 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 ones with the given shape, dtype, and order.
Examples
import numpy as np np.ones(5)✓
np.ones((5,), dtype=int)
✓np.ones((2, 1))
✓s = (2,2)
✓np.ones(s)
✗See also
- empty
Return a new uninitialized array.
- full
Return a new array of given shape filled with value.
- ones_like
Return an array of ones with shape and type of input.
- zeros
Return a new array setting values to zero.
Aliases
-
numpy.ones -
numpy._core.numeric._ones_with_like