numpy.zeros(shape, dtype=float, order='C')¶Return a new array of given shape and type, filled with zeros.
Shape of the new array, e.g., (2, 3) or 2.
The desired data-type for the array, e.g., numpy.int8. Default is
numpy.float64.
Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
Array of zeros with the given shape, dtype, and order.
See also
zeros_likeReturn an array of zeros with shape and type of input.
emptyReturn a new uninitialized array.
onesReturn a new array setting values to one.
fullReturn a new array of given shape filled with value.
Examples
>>> 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 dtype
array([(0, 0), (0, 0)],
dtype=[('x', '<i4'), ('y', '<i4')])