numpyarange

numpy arange is a function provided by the NumPy library in Python used to create arrays with evenly spaced values within a given interval. It is analogous to Python's built-in range function but returns a NumPy array instead of a list. The function takes up to three arguments: start, stop, and step. The 'start' argument is the beginning of the interval, and 'stop' is the end of the interval. The 'step' argument defines the spacing between values. The interval includes the 'start' value but excludes the 'stop' value.

If only one argument is provided, it is interpreted as the 'stop' value, with 'start' defaulting to 0 and 'step' defaulting to 1. If two arguments are provided, they are interpreted as 'start' and 'stop', with 'step' defaulting to 1. When using floating-point numbers for the step, it's important to be aware of potential floating-point inaccuracies. For precise control over the number of elements, numpy linspace is often a preferred alternative. The output of numpy arange is always a NumPy array, which offers efficient numerical operations.