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@sixtenbe
sixtenbe / analytic_wfm.py
Last active May 1, 2024 02:29 — 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
@wadey
wadey / iterm2.zsh
Last active March 10, 2024 00:32
Change iTerm2 tab color when using SSH
# Usage:
# source iterm2.zsh
# iTerm2 tab color commands
# https://iterm2.com/documentation-escape-codes.html
if [[ -n "$ITERM_SESSION_ID" ]]; then
tab-color() {
echo -ne "\033]6;1;bg;red;brightness;$1\a"
echo -ne "\033]6;1;bg;green;brightness;$2\a"
@huyng
huyng / matplotlibrc
Created February 8, 2011 15:50
my default matplotlib settings
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).
import logging
class QueueHandler(logging.Handler):
"""
This handler sends events to a queue. Typically, it would be used together
with a multiprocessing Queue to centralise logging to file in one process
(in a multi-process application), so as to avoid file write contention
between processes.
This code is new in Python 3.2, but this class can be copy pasted into
ks.default <- function(rows) seq(2, max(3, rows %/% 4))
many_kmeans <- function(x, ks = ks.default(nrow(x)), ...) {
ldply(seq_along(ks), function(i) {
cl <- kmeans(x, centers = ks[i], ...)
data.frame(obs = seq_len(nrow(x)), i = i, k = ks[i], cluster = cl$cluster)
})
}
all_hclust <- function(x, ks = ks.default(nrow(x)), point.dist = "euclidean", cluster.dist = "ward") {
@endolith
endolith / frequency_estimator.py
Last active October 30, 2023 18:08
Frequency estimation methods in Python
from __future__ import division
from numpy.fft import rfft
from numpy import argmax, mean, diff, log, nonzero
from scipy.signal import blackmanharris, correlate
from time import time
import sys
try:
import soundfile as sf
except ImportError:
from scikits.audiolab import flacread