numpy.zeros

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

Parameters:

Parameters:	shape : int or sequence of ints Shape of the new array, e.g., `(2, 3)` or `2`. dtype : data-type, optional The desired data-type for the array, e.g., `numpy.int8`. Default is `numpy.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.

shape : int or sequence of ints

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

dtype : data-type, optional

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

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 dtype

array([(0, 0), (0, 0)],

      dtype=[('x', '<i4'), ('y', '<i4')])

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