numpy.zeros¶

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

zeros_like

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

ones_like

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

empty_like

Return an empty array with shape and type of input.

ones

Return a new array setting values to one.

empty

Return a new uninitialized array.

Examples

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

>>>np.zeros((5,),dtype=np.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')])