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numpy.zeros_like(a, dtype=None, order='K', subok=True)[source]

Return an array of zeros with the same shape and type as a given array.

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.

New in version 1.6.0.

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.

New in version 1.6.0.

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.

out : ndarray

Array of zeros with the same shape and type as a.

See also

Return an empty array with shape and type of input.
Return an array of ones with shape and type of input.
Return a new array with shape of input filled with value.
Return a new array setting values to zero.


>>> x = np.arange(6)
>>> x = x.reshape((2, 3))
>>> x
array([[0, 1, 2],
       [3, 4, 5]])
>>> np.zeros_like(x)
array([[0, 0, 0],
       [0, 0, 0]])
>>> y = np.arange(3, dtype=float)
>>> y
array([ 0.,  1.,  2.])
>>> np.zeros_like(y)
array([ 0.,  0.,  0.])