numpylogspacestart

numpylogspacestart is a term used in some programming contexts to denote the starting exponent parameter for numpy's logspace function. It is not a separate NumPy feature, but rather a reference that appears in code or documentation to make the meaning of the first argument explicit.

Context and definition

- In NumPy, the function numpy.logspace(start, stop, num=50, base=10.0, dtype=None, axis=0) generates numbers that are evenly spaced on a log scale between base**start and base**stop. The value start is the starting exponent, often referred to as the logspace start. Therefore, numpylogspacestart corresponds conceptually to the start argument of logspace.

- The first element of the result is base**start, and the last element is base**stop. Changing start shifts the entire sequence along the log axis.

Usage notes

- The naming convention numpylogspacestart is used in some codebases to improve readability, marking this parameter as the starting point of a log-spaced sequence.

- If base is 10 (the default), the sequence covers powers of 10 from 10**start to 10**stop. If base is e or another value, the same principle applies with that base.

- This concept is often paired with a corresponding numpylogspacestop variable that supplies the stop exponent.

Example

- With numpylogspacestart = 0, numpylogspacestop = 3, num = 4, base = 10, the result is [1, 10, 100, 1000].

See also

- numpy.logspace: the underlying NumPy function that implements log-spaced sequences.