nlcpy.zeros

nlcpy.zeros(shape, dtype=<class 'float'>, order='C')

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

Parameters

shapeint or sequence of ints

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

dtypedtype, optional

The desired dtype for the array, e.g, nlcpy.int64. Default is nlcpy.float64.

order{‘C’, ‘F’}, optional

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

Returns an array of zeros with the same shape and type as a given array.

empty

Returns a new array of given shape and type, without initializing entries.

ones

Returns a new array of given shape and type, filled with ones.

full

Returns a new array of given shape and type, filled with fill_value.

Examples

>>> import nlcpy as vp
>>> vp.zeros(5)
array([0., 0., 0., 0., 0.])
>>> vp.zeros((5,), dtype=int)
array([0, 0, 0, 0, 0])
>>> vp.zeros((2, 1))
array([[0.],
       [0.]])
>>> s = (2,2)
>>> vp.zeros(s)
array([[0., 0.],
       [0., 0.]])