numpy.matlib.empty#

matlib.empty(shape, dtype=None, order='C')[source]#

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

Parameters

shapeint or tuple of int: Shape of the empty matrix.
dtypedata-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 in memory.

See also

empty_like, zeros

Notes

empty, unlike zeros, does not set the matrix values to zero, and may therefore be marginally faster. On the other hand, it requires the user to manually set all the values in the array, and should be used with caution.

Examples

>>> import numpy.matlib
>>> np.matlib.empty((2, 2))    # filled with random data
matrix([[  6.76425276e-320,   9.79033856e-307], # random
        [  7.39337286e-309,   3.22135945e-309]])
>>> np.matlib.empty((2, 2), dtype=int)
matrix([[ 6600475,        0], # random
        [ 6586976, 22740995]])

Matrix library (numpy.matlib)

numpy.matlib.zeros