Skip to content

Instantly share code, notes, and snippets.

@endolith
endolith / Accent.py
Last active November 19, 2023 00:09
Documenting the matplotlib colormaps
# https://github.com/matplotlib/matplotlib/issues/881
# Several of the ColorBrewer maps are "qualitative", meaning
# they are just a group of colors that can be used together
# for categories of data. So I remapped Accent to segments
# instead of continuous:
# Actually, these should be used with ListedColormap, and
# the number of colors should depend on the number of
# categories in the data, with colors removed from the
# list in a certain order?
@sixtenbe
sixtenbe / analytic_wfm.py
Last active August 30, 2025 04:16 — forked from endolith/peakdet.m
Peak detection in Python
#!/usr/bin/python2
# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law.
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See
@endolith
endolith / peakdet.m
Last active August 13, 2025 03:29
Peak detection in Python [Eli Billauer]
function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
% [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
% maxima and minima ("peaks") in the vector V.
% MAXTAB and MINTAB consists of two columns. Column 1
% contains indices in V, and column 2 the found values.
%
% With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
% in MAXTAB and MINTAB are replaced with the corresponding
% X-values.