From a64bf6d64183f3e264e55071604f0315b0a19c3d Mon Sep 17 00:00:00 2001 From: Michael Clerx Date: Tue, 3 Feb 2026 23:47:30 +0000 Subject: [PATCH] Update README.md --- README.md | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d8631de..d654206 100644 --- a/README.md +++ b/README.md @@ -8,10 +8,16 @@ series data. Building only on numpy, they reliably let you do things like: -- Find the indices corresponding to a start and end time -- Perform some action (max, min, mean, etc) on that range -- Check if a series is regularly spaced, or strictly non-decreasing +- Find the indices strictly corresponding to a start and end time, or the + index closest to a given time +- Perform some action (max, min, mean, absolute max etc) on a range +- Check if a series is regularly spaced, or strictly non-decreasing, and + obtain the sampling time - Smooth using sliding windows, gaussian blur, and others +- Get an amplitude or power spectrum of periodic data + +In short, things you can easily do with numpy, but without having to remember +the syntax, and with unit tests for that particular operation. The code is tested on a recent version of Ubuntu & Python 3, but is so simple that it should work everywhere else too.