Python之python中numpy.zeros()函数

参考链接： Python中的numpy.zeros

用法：zeros(shape, dtype=float, order='C') 

返回：返回来一个给定形状和类型的用0填充的数组； 

参数：shape:形状 

dtype:数据类型，可选参数，默认numpy.float64 

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')])

########################################################

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)`` 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

--------

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 dtype

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

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

Type:   builtin_function_or_method