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.]])