258 lines
7.4 KiB
Plaintext
258 lines
7.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os, sys\n",
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"from tabulate import tabulate\n",
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"nb_dir = os.path.split(os.getcwd())[0]\n",
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"if nb_dir not in sys.path:\n",
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" sys.path.append(nb_dir)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from features.screen import *\n",
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"import participants.query_db"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_screen_nokia = get_screen_data([\"nokia_0000003\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" id _id timestamp device_id \\\n",
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"0 245456 155 1615456297079 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"1 245455 154 1615456297069 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"2 245454 153 1615456288219 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"3 245453 152 1615455357213 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"4 245452 151 1615455357190 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"... ... ... ... ... \n",
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"1911 33221 5 1583329949659 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1912 33171 4 1583327341863 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1913 33170 3 1583327340983 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1914 33169 2 1583327340739 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1915 33168 1 1583327340713 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"\n",
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" screen_status participant_id username \n",
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"0 2 21 nokia_0000003 \n",
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"1 0 21 nokia_0000003 \n",
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"2 1 21 nokia_0000003 \n",
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"3 2 21 nokia_0000003 \n",
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"4 0 21 nokia_0000003 \n",
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"... ... ... ... \n",
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"1911 3 21 nokia_0000003 \n",
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"1912 3 21 nokia_0000003 \n",
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"1913 1 21 nokia_0000003 \n",
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"1914 2 21 nokia_0000003 \n",
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"1915 0 21 nokia_0000003 \n",
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"\n",
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"[1916 rows x 7 columns]\n"
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]
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}
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],
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"source": [
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"print(df_screen_nokia)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"participants_inactive_usernames = participants.query_db.get_usernames()\n",
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"df_screen_inactive = get_screen_data(participants_inactive_usernames)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<table>\n",
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"<tbody>\n",
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"<tr><td>off </td><td style=\"text-align: right;\">70243</td></tr>\n",
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"<tr><td>on </td><td style=\"text-align: right;\">70012</td></tr>\n",
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"<tr><td>locked </td><td style=\"text-align: right;\">63080</td></tr>\n",
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"<tr><td>unlocked</td><td style=\"text-align: right;\">36666</td></tr>\n",
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"</tbody>\n",
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"</table>"
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],
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"text/plain": [
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"'<table>\\n<tbody>\\n<tr><td>off </td><td style=\"text-align: right;\">70243</td></tr>\\n<tr><td>on </td><td style=\"text-align: right;\">70012</td></tr>\\n<tr><td>locked </td><td style=\"text-align: right;\">63080</td></tr>\\n<tr><td>unlocked</td><td style=\"text-align: right;\">36666</td></tr>\\n</tbody>\\n</table>'"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_screen_inactive[\"screen_status\"] = df_screen_inactive[\"screen_status\"].astype(\"category\").cat.rename_categories(screen_status)\n",
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"screen_freq = df_screen_inactive.value_counts(\"screen_status\")\n",
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"tabulate(screen_freq.to_frame(), tablefmt='html')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{0: 'off', 1: 'on', 2: 'locked', 3: 'unlocked'}"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"screen_status"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"A typical sequence might be: off -> locked -> on -> unlocked (0 -> 2 -> 1 -> 3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>screen_status</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>-1.0</th>\n",
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" <td>810</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2.0</th>\n",
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" <td>779</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>-3.0</th>\n",
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" <td>238</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1.0</th>\n",
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" <td>44</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>-2.0</th>\n",
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" <td>38</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>0.0</th>\n",
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" <td>6</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" screen_status\n",
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"-1.0 810\n",
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" 2.0 779\n",
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"-3.0 238\n",
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" 1.0 44\n",
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"-2.0 38\n",
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" 0.0 6"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"status_diff = df_screen_nokia.sort_values(\"timestamp\")[\"screen_status\"].diff()\n",
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"status_diff.value_counts().to_frame()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"But I have also seen off -> on -> unlocked (with 2 - locked missing) and off -> locked -> on -> off -> locked (*again*)."
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]
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}
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],
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"metadata": {
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"jupytext": {
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"formats": "ipynb,auto:percent"
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},
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"kernelspec": {
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"display_name": "straw2analysis",
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"language": "python",
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"name": "straw2analysis"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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