mxnet.np.arange

arange(start, stop=None, step=1, dtype=None, device=None)

Return evenly spaced values within a given interval.

Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list.

Parameters

  • start (number, optional) – Start of interval. The interval includes this value. The default start value is 0.

  • stop (number) – End of interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out.

  • step (number, optional) – Spacing between values. For any output out, this is the distance between two adjacent values, out[i+1] - out[i]. The default step size is 1. If step is specified as a position argument, start must also be given.

  • dtype (dtype) – The type of the output array. Default dtype can be set to be consistent with offical numpy by npx.set_np(dtype=True). * When npx.is_np_default_dtype() returns False, default dtype is float32; * When npx.is_np_default_dtype() returns True, default dtype is int64.

  • device (device context, optional) – Device context on which the memory is allocated. Default is mxnet.device.current_device().

Returns

arange – Array of evenly spaced values.

For floating point arguments, the length of the result is ceil((stop - start)/step). Because of floating point overflow, this rule may result in the last element of out being greater than stop.

Return type

ndarray

Examples

>>> np.arange(3)
array([0., 1., 2.])

>>> np.arange(3.0)
array([0., 1., 2.])

>>> np.arange(3,7)
array([3., 4., 5., 6.])

>>> np.arange(3,7,2)
array([3., 5.])

>>> np.arange(3).dtype
dtype('float32')
>>> npx.set_np(dtype=True)
>>> np.arange(3).dtype
dtype('int64')