drammock

import os
from functools import partial
from time import perf_counter
from contextlib import contextmanager
import numpy as np
from scipy.integrate import trapezoid  # quad
# from scipy.interpolate import interp1d
from scipy.stats import norm, gaussian_kde
import matplotlib.pyplot as plt
import mne

drammock

import os
from collections import namedtuple
import numpy as np
from scipy.stats import norm, zscore
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import mne

n_jobs = 4

drammock

from pyrankvote import Ballot, Candidate, instant_runoff_voting

votes = dict(tri=(10, 8, 2, 3, 4),
             kaj=(1, 9, 10),
             dan=(2, 10, 4, 5),
             gus=(5, 3, 7),
             mer=(5, 1, 4),
             ori=(6, 2, 10, 4),
             jai=(4, 1, 10, 5),
             ch_=(4, 7, 10, 9)

drammock

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Daniel McCloy

Load SSVEP epochs and plot PSDs, phases, etc.

data at https://dan.mccloy.info/data/prek_1964-pre_camp-pskt-epo.fif
"""

drammock

#!/usr/bin/env Rscript
library(dplyr, warn.conflicts=FALSE)

# load phoible data (to get feat. col. names)
"~/Documents/academics/research/phoible/dev/data" -> data_dir
load(file.path(data_dir, "phoible.RData"))

# get feature column names
phoible %>%
    select(tone:click) %>%

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{
  "name": "",
  "css_prefix_text": "icon-",
  "css_use_suffix": false,
  "hinting": true,
  "units_per_em": 1000,
  "ascent": 850,
  "glyphs": [
    {
      "uid": "ea4ad928c87154ed3eb2ec50daea01cc",

drammock

import os
import mne

# load sample data
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
                                    'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file, verbose=False).crop(tmax=60)
events = mne.find_events(raw, stim_channel='STI 014')

drammock

#!/usr/bin/env python

import tracemalloc
tracemalloc.start()

import os
from mayavi import mlab
import mne

mlab.options.offscreen = True

drammock

library(phonR)  # convexHullArea
library(sp)     # SpatialPolygons, etc
library(rgeos)  # gIntersection
data(indoVowels)
female_two <- indo[indo$subj == "F02",]
by_vowel <- split(female_two, female_two$vowel)
hull_indices <- sapply(by_vowel, function(df) with(df, chull(f1, f2)))
hulls <- sapply(names(by_vowel), function(v) by_vowel[[v]][hull_indices[[v]],],
                simplify=FALSE)
matrices <- sapply(hulls, function(df) as.matrix(df[,c("f1", "f2")]))

drammock