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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_like

The shape and data-type of a define these same attributes of the returned array.

dtype : data-type, optional

Overrides the data type of the result.

order : {'C', 'F', 'A', or 'K'}, optional

Overrides the memory layout of the result. 'C' means C-order, 'F' means F-order, 'A' means 'F' if a is Fortran contiguous, 'C' otherwise. 'K' means match the layout of a as 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, optional

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

Returns

out : ndarray

Array 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

Referenced by