Vincent Botta 0asa

## usage.html
<html>
<head>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js" type="text/javascript"></script>
  <script>
  function GetRandomBackground()
  {
    var app_id = 'YOUR_APPLICATION_ID'
    var url = 'https://api.unsplash.com/photos/random?client_id=' + app_id;
    $.ajax({
      url: url,

## interleave-deinterlace.py
# https://ffmpeg.org/ffmpeg-filters.html#il

import ffmpeg
try:
    top = ffmpeg.input("top/%d.jpg")
    bot = ffmpeg.input("bottom/%d.jpg")
    s = (
        ffmpeg
        .filter([top, bot], 'vstack')
        .filter('il', l='i', c='i')

## Timer.py
import time
import logging

class Timer:
    def __init__(self, timed, logger=None):
        self.logger = logger
        self.timed = timed

    def __enter__(self):
        self.start = time.perf_counter()

## sklearn-pyspark.py
from pyspark import SparkConf, SparkContext
from sklearn.datasets import make_classification
from sklearn.ensemble import ExtraTreesClassifier
import pandas as pd
import numpy as np

conf = (SparkConf()
         .setMaster("local[*]")
         .setAppName("My app")
         .set("spark.executor.memory", "1g"))

## keybase.md

      
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                0asa
                / keybase.md
            
            
              Created
              May 29, 2017 16:26
            
          
    Keybase proof

I hereby claim:

I am 0asa on github.
I am 0asa (https://keybase.io/0asa) on keybase.
I have a public key ASAI-Wl8hiPkV-7MrngtxFlDzqUGrPsoRX-qPwzdqnwpgQo

To claim this, I am signing this object:

  
## activity.csv

          
            Day 
             Pulse Ox [^automatically detected] 
             Charge 2 [^manual trigger]

            
              1 
               12 min / 165 cals / 2.27 km 
               13 min / 164 cals / 1.91 km

            
              2 
               - 
               -

            
              3 
               17 min / 175 cals / 2.76 km 
               13 min / 154 cals / 1.93 km

            
              4 
               - 
               -

            
              5 
               - 
               -

            
              6 
               - 
               -

            
              7 
               42 min / 161 cals / 4.5 km 
               41 min / 328 cals / 3.68 km

## steps.csv

          
            Day 
             Pulse Ox 
             Charge 2

            
              1 
               7.475
               9.689

            
              2 
               7.048 
               8.805

            
              3 
               5.692 
               6.689

            
              4 
               7.910 
               9.583

            
              5 
               6.404 
               9.540

            
              6 
               7.514 
               9.350

            
              7 
               5.688 
               7.516

## sleep.csv

          
            Day 
             Pulse Ox [^manual] 
             Charge 2 [^automatically detected]

            
              1 
               7h41 
               7h21

            
              2 
               7h30 
               7h20

            
              3 
               7h40 
               7h37

            
              4 
               8h19 
               8h33

            
              5 
               7h34 
               7h58 (+ 1h54 [^a nap])

            
              6 
               8h33 
               8h23

            
              7 
               7h45 
               7h16

## PySparkSklearn.ipynb

      
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                0asa
                / PySparkSklearn.ipynb
            
            
              Created
              January 12, 2015 15:52
            
          
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## pandas-merge-xls.py
import glob
import pandas as pd

files = glob.glob('*.xlsx')

df = pd.DataFrame()

for f in files:
	data = pd.read_excel(f,'Sheet1')
	df = df.append(data)
	<html>
	<head>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js" type="text/javascript"></script>
	<script>
	function GetRandomBackground()
	{
	var app_id = 'YOUR_APPLICATION_ID'
	var url = 'https://api.unsplash.com/photos/random?client_id=' + app_id;
	$.ajax({
	url: url,
	# https://ffmpeg.org/ffmpeg-filters.html#il

	import ffmpeg
	try:
	top = ffmpeg.input("top/%d.jpg")
	bot = ffmpeg.input("bottom/%d.jpg")
	s = (
	ffmpeg
	.filter([top, bot], 'vstack')
	.filter('il', l='i', c='i')
	import time
	import logging

	class Timer:
	def __init__(self, timed, logger=None):
	self.logger = logger
	self.timed = timed

	def __enter__(self):
	self.start = time.perf_counter()
	from pyspark import SparkConf, SparkContext
	from sklearn.datasets import make_classification
	from sklearn.ensemble import ExtraTreesClassifier
	import pandas as pd
	import numpy as np

	conf = (SparkConf()
	.setMaster("local[*]")
	.setAppName("My app")
	.set("spark.executor.memory", "1g"))
Day	Pulse Ox [^automatically detected]	Charge 2 [^manual trigger]
1	12 min / 165 cals / 2.27 km	13 min / 164 cals / 1.91 km
2	-	-
3	17 min / 175 cals / 2.76 km	13 min / 154 cals / 1.93 km
4	-	-
5	-	-
6	-	-
7	42 min / 161 cals / 4.5 km	41 min / 328 cals / 3.68 km
Day	Pulse Ox	Charge 2
1	7.475	9.689
2	7.048	8.805
3	5.692	6.689
4	7.910	9.583
5	6.404	9.540
6	7.514	9.350
7	5.688	7.516
Day	Pulse Ox [^manual]	Charge 2 [^automatically detected]
1	7h41	7h21
2	7h30	7h20
3	7h40	7h37
4	8h19	8h33
5	7h34	7h58 (+ 1h54 [^a nap])
6	8h33	8h23
7	7h45	7h16
	import glob
	import pandas as pd

	files = glob.glob('*.xlsx')

	df = pd.DataFrame()

	for f in files:
	data = pd.read_excel(f,'Sheet1')
	df = df.append(data)