bundles / numpy 2.5.0.dev0+git20251130.2de293a / numpy / zeros_like
_ArrayFunctionDispatcher
numpy:zeros_like
source: /dev/numpy/build-install/usr/lib/python3.14/site-packages/numpy/_core/numeric.py :97
Signature
def zeros_like ( a , dtype = None , order = K , subok = True , shape = None , * , device = None ) Summary
Return an array of zeros with the same shape and type as a given array.
Parameters
a: array_likeThe shape and data-type of
adefine these same attributes of the returned array.dtype: data-type, optionalOverrides the data type of the result.
order: {'C', 'F', 'A', or 'K'}, optionalOverrides the memory layout of the result. 'C' means C-order, 'F' means F-order, 'A' means 'F' if
ais Fortran contiguous, 'C' otherwise. 'K' means match the layout ofaas closely as possible.subok: bool, optional.If True, then the newly created array will use the sub-class type of
a, otherwise it will be a base-class array. Defaults to True.shape: int or sequence of ints, optional.Overrides the shape of the result. If order='K' and the number of dimensions is unchanged, will try to keep order, otherwise, order='C' is implied.
device: str, optionalThe device on which to place the created array. Default: None. For Array-API interoperability only, so must be
"cpu"if passed.
Returns
out: ndarrayArray of zeros with the same shape and type as
a.
Examples
import numpy as np x = np.arange(6) x = x.reshape((2, 3)) x np.zeros_like(x)✓
y = np.arange(3, dtype=float) y✓
np.zeros_like(y)
✗See also
- empty_like
Return an empty array with shape and type of input.
- full_like
Return a new array with shape of input 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.zeros_like