python中numpy.zeros(np.zeros)的使用方法

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


np.zeros((5,),dtype=np.int)
array([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)],'<i4'),'<i4')])


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

zeros(shape,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,`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.,'<i4')])
Type:   builtin_function_or_method