SciPy, dtype=float, order='C') = < instance at 0x7fac67143170>

Return a new array of given shape and type, filled with zeros.


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.


out : ndarray

Array of zeros with the given shape, dtype, and order.

See also

Return an array of zeros with shape and type of input.
Return an array of ones with shape and type of input.
Return an empty array with shape and type of input.
Return a new array setting values to one.
Return a new uninitialized array.


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

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