numpy.zeros — NumPy v1.18 Manual (original) (raw)

numpy. zeros(shape, dtype=float, order='C')¶

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

Parameters

shapeint or tuple of ints

Shape of the new array, e.g., (2, 3) or 2.

dtypedata-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

outndarray

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

See also

zeros_like

Return an array of zeros with shape and type of input.

empty

Return a new uninitialized array.

ones

Return a new array setting values to one.

full

Return a new array of given shape filled with value.

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')])