numpy.zeros#

numpy.zeros(shape,dtype=float,order='C',*,like=None)#

Return a new array of given shape and type, filled with zeros.

Parameters:

shapeint or tuple of ints

Shape of the new array, e.g.,(2,3) or2.

dtypedata-type, optional

The desired data-type for the array, e.g.,numpy.int8. Default isnumpy.float64.

order{‘C’, ‘F’}, optional, default: ‘C’

Whether to store multi-dimensional data in row-major(C-style) or column-major (Fortran-style) order inmemory.

likearray_like, optional

Reference object to allow the creation of arrays which are notNumPy arrays. If an array-like passed in aslike supportsthe__array_function__ protocol, the result will be definedby it. In this case, it ensures the creation of an array objectcompatible with that passed in via this argument.

New in version 1.20.0.

Returns:

outndarray

Array of zeros with the given shape, dtype, and order.

See also

zeros_like

Return an array of zeros with shape and type of input.

empty

Return a new uninitialized array.

ones

Return a new array setting values to one.

full

Return a new array of given shape filled with value.

Examples

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>>>importnumpyasnp>>>np.zeros(5)array([ 0.,  0.,  0.,  0.,  0.])

>>>np.zeros((5,),dtype=int)array([0, 0, 0, 0, 0])

>>>np.zeros((2,1))array([[ 0.],       [ 0.]])

>>>s=(2,2)>>>np.zeros(s)array([[ 0.,  0.],       [ 0.,  0.]])

>>>np.zeros((2,),dtype=[('x','i4'),('y','i4')])# custom dtypearray([(0, 0), (0, 0)],      dtype=[('x', '<i4'), ('y', '<i4')])

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