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
dtype类型：t ,位域,如t4代表4位
b,布尔值，true or false
i,整数,如i8(64位）
u,无符号整数，u8(64位）
f,浮点数，f8（64位）
c,浮点负数，
o,对象，
s,a，字符串，s24
u,unicode,u24
order:可选参数，c代表与c语言类似，行优先；F代表列优先

例子：

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 dtypearray([(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 dtypearray([(0, 0), (0, 0)],      dtype=[('x', '<i4'), ('y', '<i4')])Type:      builtin_function_or_metho