numpy.zeros(shape, dtype=float, order='C')
2016-03-25 11:58
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numpy.zeros
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. |
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Returns: | out : ndarray Array of zeros with the given shape, dtype, and order. |
zeros_likeReturn an array of zeros with shape and type of input.ones_likeReturn an array of ones with shape and type of input.empty_likeReturn an empty array with shape and type of input.onesReturn a new array setting values to one.emptyReturn 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')])
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