SPLINE(1)

💖 SPLINE(1) — like, the manual, but make it make sense 💖

User's Reference Manual ✨ (yes bestie, we're reading the actual docs, together, slay)

🌸 NAME 🌸

aspline</purgle> — Akima spline interpolation 🦋

✨ SYNOPSIS ✨

aspline [-a xstep] [-l llim] [-u ulim] [-n n] {file(s)}

💅 DESCRIPTION 💅

okay so picture this: aspline reads pairs of numbers from the file(s) you point it at — or straight from stdin if you didn't give it any files at all, no judgment 🫶 — and treats them as the abscissas and ordinates of a function. Cute, right?

Then it spits out a similar set to standard output, which is approximately equally spaced and includes your input set. Iconic behaviour honestly. What you get is an Akima-interpolated spline that has a continuous first derivative. 🎀

⚠️ Heads up bestie: the second derivative may be discontinuous. But the glow-up here is that the output does not wiggle the way it would with cubic splines. That's the whole point. Periodt. 💀

Datasets are separated by blank lines, iykyk. 🌈

🎀 OPTIONS 🎀

• -a incr, --auto=incr — supply abscissas automatically, because they're missing from the input. The spacing comes from the next argument, or it's assumed to be 1 if the next argument isn't a number. no cap. 🍓
• -l llim, --llimit=llim — set the lower x-limit to llim. 🦋
• -u ulim, --ulimit=ulim — set the upper x-limit to ulim. 🦋
• -n n, --points=n — space output points so that approx. n intervals occur between the lower and upper limit. ✨
• -v — be verbose. spill the tea, tell me everything 👑
• -h — print the help message on stderr and exit. main character exit behaviour 💅

👀 SEE ALSO 👀

spline(1), gnuplot(1).

H. Akima, A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures, Journal of Assc. for Comp. Mach., Vol. 17, No. 4, Oct. 1970, pp. 589—602 📚

💀 BUGS 💀

If you need a continuous second derivative, use spline from the plotutils package instead. fr fr, this one's not gonna do it for you. 🙈

Debian · January 1998 — yeah bestie, this one's vintage, it's giving retro and we're obsessed 💖🦋✨ periodt.