dnnagy

# sort array with regards to nth column
# copied from https://gist.github.com/stevenvo/e3dad127598842459b68#file-numpy-array-sort-py
arr = arr[arr[:,n].argsort()]

dnnagy

import itertools

colors = ['u', 'g', 'r', 'i', 'z']
subsets_size_two = list(itertools.combinations(colors, 2))

# subsets_size_two:
# [('u', 'g'),
#  ('u', 'r'),
#  ('u', 'i'),
#  ('u', 'z'),

dnnagy

from sklearn.model_selection import KFold

kf = KFold(n_splits=k, random_state=0, shuffle=True)

for i, (train, test) in enumerate(kf.split(X, y)):
	model.fit(X[train], y[train])
	y_pred = model.predict(X[test])

dnnagy

import random
import string

def generate_random_key(length):
    return ''.join(random.choice(string.ascii_lowercase + string.digits) for _ in range(length))

print generate_random_key(30)

dnnagy

// Tested on Swift 4.2

func pathFromComponents(_ _arr: String...) -> String {
    var arr = _arr
    
    for k in 0..<arr.count {
        if arr[k][0] == "/" {
            arr[k] = String(arr[k].dropFirst())
        }
        

dnnagy

def latexRowToArray(s):
  nums = s.split("&")
  for k in range(len(nums)):
    nums[k] = ''.join([i for i in nums[k] if i.isdigit() or i in ['.']])
    nums[k] = float(nums[k])
  return np.array(nums)
  
taus = '$0.00325$ & $0.00228$ & $0.00253$ & $0.00284$ & $0.00272$ & $0.00272$ \\ \hline'
latexRowToArray(taus)
#output: array([0.00325, 0.00228, 0.00253, 0.00284, 0.00272, 0.00272])

dnnagy

def arrayToLatexRow(a):
  ns = []
  for n in a:
    ns.append("${0}$".format(n))
    
  ns = ' & '.join(ns)
  ns = ns + " \\ \hline"
  return ns

tauarr = np.array([0.00325, 0.00228, 0.00253, 0.00284, 0.00272, 0.00272])

dnnagy

def find_nearest_index(array, value):
  array = np.asarray(array)
  idx = (np.abs(array - value)).argmin()
  return idx

dnnagy

def split_scientific_float(n_prec, _f):
  v=('{:.'+str(n_prec)+'g}').format(_f).split('e')
  if len(v)==1: v.append(0)
  return v

split_scientific_float(5, 4.311237638482733e-91) # Output: ['4.3112', '-91']

dnnagy

import time

## 24 hour format ##
def print_t(str_):
  print( "[" + time.strftime("%Y-%m-%d %H:%M:%S") + "] " + str(str_))