numpy.ma.zeros¶
-
numpy.ma.
zeros
(shape, dtype=float, order='C') = <numpy.ma.core._convert2ma object>¶ Return a new array of given shape and type, filled with zeros.
Parameters: - shape : int or tuple of ints
Shape of the new array, e.g.,
(2, 3)
or2
.- dtype : data-type, optional
The desired data-type for the array, e.g.,
numpy.int8
. Default isnumpy.float64
.- order : {‘C’, ‘F’}, optional, default: ‘C’
Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
Returns: - out : ndarray
Array of zeros with the given shape, dtype, and order.
See also
Examples
>>> np.zeros(5) array([ 0., 0., 0., 0., 0.])
>>> np.zeros((5,), dtype=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')])