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=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')])