numpy.empty

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

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

Parameters:

shape : {tuple of int, 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 C (row-major) or Fortran (column-major) order in memory.

See also

empty_like, zeros

Notes

empty, unlike zeros, does not set the array 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

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

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