# jax.numpy.arange#

jax.numpy.arange(start, stop=None, step=None, dtype=None)[source]#

Return evenly spaced values within a given interval.

LAX-backend implementation of `numpy.arange()`.

Original docstring below.

`arange` can be called with a varying number of positional arguments:

• `arange(stop)`: Values are generated within the half-open interval `[0, stop)` (in other words, the interval including start but excluding stop).

• `arange(start, stop)`: Values are generated within the half-open interval `[start, stop)`.

• `arange(start, stop, step)` Values are generated within the half-open interval `[start, stop)`, with spacing between values given by `step`.

For integer arguments the function is roughly equivalent to the Python built-in `range`, but returns an ndarray rather than a `range` instance.

When using a non-integer step, such as 0.1, it is often better to use numpy.linspace.

Parameters
• start (integer or real, optional) – Start of interval. The interval includes this value. The default start value is 0.

• stop (integer or real) – 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 (integer or real, 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, optional) – The type of the output array. If dtype is not given, infer the data type from the other input arguments.

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