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numpy.zeros(shape, dtype=float, order='C') -
Return a new array of given shape and type, filled with zeros.
Parameters: shape : int or sequence of ints
Shape of the new array, e.g.,
(2, 3)or2.dtype : data-type, optional
The desired data-type for the array, e.g.,
numpy.int8. Default isnumpy.float64.order : {?C?, ?F?}, optional
Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
Returns: out : ndarray
Array of zeros with the given shape, dtype, and order.
See also
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zeros_like - Return an array of zeros with shape and type of input.
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ones_like - Return an array of ones with shape and type of input.
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empty_like - Return an empty array with shape and type of input.
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ones - Return a new array setting values to one.
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empty - Return a new uninitialized array.
Examples
12>>> np.zeros(5)array([0.,0.,0.,0.,0.])12>>> np.zeros((5,), dtype=np.int)array([0,0,0,0,0])123>>> np.zeros((2,1))array([[0.],[0.]])1234>>> s=(2,2)>>> np.zeros(s)array([[0.,0.],[0.,0.]])123>>> np.zeros((2,), dtype=[('x','i4'), ('y','i4')])# custom dtypearray([(0,0), (0,0)],dtype=[('x','<i4'), ('y','<i4')]) -
numpy.zeros()
2025-01-10 15:47:30
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