numpy.empty¶

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

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

Parameters:	shape : int or tuple of int Shape of the empty array dtype : data-type, optional Desired output data-type. order : {‘C’, ‘F’}, optional Whether to store multi-dimensional data in row-major(C-style) or column-major (Fortran-style) order inmemory.
Returns:	out : ndarray Array of uninitialized (arbitrary) data of the given shape, dtype, andorder. Object arrays will be initialized to None.

See also

empty_like,zeros,ones

Notes

empty, unlikezeros, does not set the array values to zero,and may therefore be marginally faster. On the other hand, it requiresthe user to manually set all the values in the array, and should beused with caution.

Examples

>>>np.empty([2,2])array([[ -9.74499359e+001,   6.69583040e-309],       [  2.13182611e-314,   3.06959433e-309]])         #random

>>>np.empty([2,2],dtype=int)array([[-1073741821, -1067949133],       [  496041986,    19249760]])                     #random