numpy.zeros — NumPy v1.11 Manual (original) (raw)
numpy.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 isnumpy.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. |
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.
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')])