numpyarange0

Numpyarange0 is not a standard term in official NumPy documentation or in widely used programming references. The name appears to be a portmanteau combining numpy, arange, and a leading zero, and in practice may be encountered as a code artifact such as a function alias, a variable name, or a project-specific wrapper rather than a formal feature.

In NumPy, the core function is arange, defined as numpy.arange([start,] stop[, step]). When start is 0, numpy.arange(0, n) or numpy.arange(n) yields a sequence of integers from 0 up to but not including n. The exact data type of the resulting array depends on the stop value and default platform settings, but it is typically an integer type like int64 on 64-bit systems.

Common usage and behavior: you would import NumPy as np and create a sequence with something like a = np.arange(0, 10), which results in an array containing 0 through 9. This function is often used to generate index arrays, perform vectorized operations, or construct simple ranges for plotting and testing. For non-integer steps or fixed-length outputs, alternatives include numpy.linspace or Python’s built-in range for non-array contexts.

If you encounter the identifier 'numpyarange0' in code, it likely refers to a custom wrapper, a misnamed reference to numpy.arange, or a placeholder name used in examples. Always verify its definition in the surrounding code. See also numpy, arange, linspace, and range.