numpy.ma.zeros
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numpy.ma.zeros(shape, dtype=float, order='C') = <numpy.ma.core._convert2ma object>
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Return a new array of given shape and type, filled with zeros.
- Parameters
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shapeint or tuple of ints
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Shape of the new array, e.g.,
(2, 3)
or2
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dtypedata-type, optional
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The desired data-type for the array, e.g.,
numpy.int8
. Default isnumpy.float64
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order{‘C’, ‘F’}, optional, default: ‘C’
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Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
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- Returns
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outndarray
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Array of zeros with the given shape, dtype, and order.
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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')])
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.ma.zeros.html