nums.numpy.empty

nums.numpy.empty(shape, dtype=<class 'float'>)

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

This docstring was copied from numpy.empty.

Some inconsistencies with the NumS version may exist.

shapeint or tuple of int

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

dtypedata-type, optional

Desired output data-type for the array, e.g, int. Default is float.

outBlockArray

Array of uninitialized (arbitrary) data of the given shape and dtype.

empty_like : Return an empty array with shape and type of input. ones : Return a new array setting values to one. zeros : Return a new array setting values to zero. full : Return a new array of given shape filled with value.

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.

The doctests shown below are copied from NumPy. They won’t show the correct result until you operate get().

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

>>> nps.empty([2, 2], dtype=int).get()  
array([[-1073741821, -1067949133],
       [  496041986,    19249760]])                     #uninitialized